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a live radar of proven linkedin posts and lead-magnet plays worth borrowing before you build your own.
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🚨 Mastercard is Hiring – AI Engineer 🏢 Company: Mastercard 💼 Position: AI Engineer 📍 Location: Pune, India 🎓 Qualification: B.E. | B.Tech | M.E. | M.Tech | B.Sc | M.Sc 💼 Experience: Freshers / Experienced 🎓 Passing Year: Recent Graduates / Eligible Batches 💰 Expected Salary: ₹21–35 LPA (estimated) 💬 Comment "INTERESTED" and DM me. I'll share the official application link with you. 📢 I post verified fresher jobs, internships and early-career opportunities every day. 📌 Join WhatsApp Group: https://lnkd.in/gxpCFAzQ 👉 Follow Kalaiyarasan P for daily job updates. 🚀 Start applying now and take the next step in your AI career! Disclaimer: This post is shared for informational purposes only. Company names, logos, trademarks, salary estimates/details and application links belong to their respective owners. I am not associated with or endorsed by Mastercard #Mastercard #AIEngineer #ArtificialIntelligence #MachineLearning #DataScience #AIML #FreshersJobs #PuneJobs #Hiring #JobsInIndia #TechJobs
🚨 TriNet is Hiring – Associate Data Scientist 🏢 Company: TriNet 💼 Position: Associate Data Scientist 📍 Location: Hyderabad, India 💼 Experience: 0–1 Year 🎓 Eligibility: B.E. | B.Tech | M.E. | M.Tech | B.Sc | M.Sc | MCA 💰 Expected Salary: ₹6–10 LPA (estimated) 💬 Comment "INTERESTED" and DM me. I'll share the official application link with you. 📢 I post verified fresher jobs, internships and early-career opportunities every day. 👉 Follow Kalaiyarasan P for daily job updates. 🚀 Start applying now and take the next step in your Data Science career! Disclaimer: This post is shared for informational purposes only. Company names, logos, trademarks, salary estimates/details and application links belong to their respective owners. I am not associated with or endorsed by TriNet. #TriNet #AssociateDataScientist #DataScientist #DataScience #MachineLearning #AI #FreshersJobs #HyderabadJobs #Hiring #TechJobs #JobsInIndia
50 Claude agents now run our paid ads We built one for every job in the account 👇 Media buying is fifty small jobs done weekly Most of them are checklists, not judgment So we turned every checklist into an agent 1/ Search terms miner Reads the query report, drafts the negative list 2/ Budget pacing agent Projects end-of-month spend, flags blowouts early 3/ Creative fatigue agent Watches frequency and CTR, calls dying ads 4/ Ad library spy agent Pulls competitor creative with the angles worth stealing 5/ CAPI health agent Checks signal quality before it costs you delivery 6/ Weekly report agent Writes the Monday summary, which pages moved and why The other 44 cover audits, bids, feeds, lead quality Every agent is a setup guide, not a loose prompt Open Claude, paste the role, connect your ad account First live run on one account last week 41 wasted keywords paused, $1,700 in junk spend caught Setup to first finding took 20 minutes The full library is free, link in the first comment
I just compiled 300 AI tips for Finance teams 👉 Comment "AI" and I'll send them to you + a free seat for my AI Finance Masterclass 100 for ChatGPT 100 for Claude 100 for Copilot All in one place. This can save you 100s of hours in 2026 when using these GenAI tools Here's why I made this: Last week during a corporate training, a controller told me: "I use ChatGPT every day but I know I'm only using 10% of it" I hear this in every single session I do. Finance teams are using AI for emails and basic research But they're missing the real stuff: → Building financial models directly inside Excel → Using the CSI+FBI prompting framework for consistent outputs → Creating interactive dashboards that update in real-time → Automating data consolidation with scripts AI writes for you → Building custom agents for monthly commentary and reporting These 300 tips cover exactly that. Here's what's inside each cheat sheet 👇 1) 100 ChatGPT Tips → Framework: 25 prompting frameworks (CSI+FBI, RISEN, STAR, and more) → Shortcuts: 25 keyboard shortcuts for Windows and Mac → Data: Excel formulas, pivot tables, charts, Python in Excel → Advanced: custom GPTs, APIs, Canvas, and AI agents 2) 100 Claude Tips → Claude in Excel: build models, audit formulas, create charts directly in your spreadsheet → Dashboard: KPI scorecards, board-ready P&Ls, scenario analysis → Claude Cowork: automate file cleanup, batch reports, research synthesis → Tips & Best Practices: prompting, memory, extended thinking, connectors 3) 100 Copilot Tips → Productivity: Teams meetings, Outlook, Word, PowerPoint automation → Prompting: CSI+FBI framework, role-based prompting, audience targeting → Data: Excel analysis, pivot tables, charts, Python, Power BI → Advanced: Researcher, Analyst, agents, workflows, app builder 300 tips. 3 tools. I've seen finance teams spend weeks figuring out what AI can actually do for them Trying random prompts, watching generic tutorials, getting inconsistent results No one
I built a full LinkedIn Skill Library. And I'm giving the entire thing away for FREE. It's the system behind every post you've seen from me. Written, designed and shipped by Claude, in my voice, with my brand. Most free resources hand you prompts you forget in five minutes. This one hands you the machine. It covers the whole content chain: ↳ finding the hook ↳ writing the post in your real voice ↳ designing the infographic in Figma ↳ seeding human comments ↳ publishing a finished asset Inside are 4 assets: 1. Designer Skill A Claude skill that builds branded infographics inside Figma. 8 layout archetypes, a full design system, QA gates that block anything ugly from shipping. 2. 150+ Viral Hooks More than 150 templates across 7 post formats. Each one pulled from a post that already worked. Swap in your details and go. 3. Ghostwriter Skill A fill-in template that turns your voice into a repeatable posting system. Hard rule inside: if there are no voice samples, it doesn't invent one. 4. Step-by-Step Guide Connects Claude to Figma screenshot by screenshot. The only technical barrier, removed. Every piece feeds the next. The hook picks the format. Ghostwriter writes it. Designer makes it look like you paid someone. Took me months to build this. Takes you 10 minutes to start using it. And honestly... I didn't build it to make more content. I built it because I was tired of content eating my week. The whole library is FREE.
50 Claude agents now run our Shopify store We built one for every job in the backend 👇 Running a store is fifty small jobs weekly Most of them are checklists, not judgment So we turned every checklist into an agent 1/ Cart recovery agent Writes the winback flows, segments by cart value 2/ Margin guard agent Watches discounts and shipping eating your profit 3/ Dead stock agent Flags inventory that stopped moving, drafts the exit plan 4/ PDP optimizer agent Rewrites titles and descriptions from real search terms 5/ Klaviyo flow agent Audits every email flow, finds the dead ones 6/ Weekly KPI agent Writes the Monday summary, which SKUs moved and why The other 44 cover feeds, reviews, CRO, support Every agent is a setup guide, not a loose prompt Open Claude, connect your store, paste the role First live run on one store last week 17 dead SKUs flagged, $2,300 in discount leakage caught Setup to first finding took 20 minutes The full library is free, link in the first comment
I'm finally releasing my 15 Private Claude Agents for LinkedIn Content. Built on 1.2M ICP views generated for clients, free access below 👇 took 2 years and 1.2M ICP views across real client accounts to build these. here is everything inside: 1/ Content intelligence - 3 agents - covers icp content mapping, viral pattern recognition, and competitor analysis - finds the exact angles that generated 1.2M targeted views without spending a dollar on distribution. 2/ Authority positioning - 3 agents - covers thought leadership architecture, content pillar development, and market angle generation - builds public authority that makes serious buyers decide before any conversation starts. 3/ Demand generation - 3 agents - covers tofu demand posts, lead magnet architecture, and hook writing - generated 400 to 800 qualified icp comments per post and 870+ booked calls from content alone. 4/ Content production - 3 agents - covers long form writing, short form repurposing across 5 formats, and calendar management - produces a full week of content from one idea in under 30 minutes. 5/ Performance & optimisation - 3 agents - covers performance attribution, engagement quality scoring, and icp view tracking - separates what generates qualified pipeline from what generates vanity metrics with zero revenue behind them. intelligence → positioning → demand → production → optimisation every agent runs for $20 a month instead of $4,700 in agency retainers. 15 agents. entire LinkedIn content operation covered end to end. built on 1.2M real ICP views and 870+ booked calls - not theory. free access below. reposting helps you skip the queue.
This agent runs the job of your $249K/year SDR team with Opus 5. What used to take a full team and 100+ hours a week now runs on autopilot. While you sleep. -- Most teams are stuck on the outbound treadmill: → Bad lists → Generic, copy-paste messages → Zero replies This system flips that. It reads your exact ICP, then reverse-engineers who to target and what to say. At scale. -- I spent months building this. The results: → 10X more pipeline → 90% less manual work → Runs every single day, no reps touching it -- How it works: 1️⃣ Mines and validates prospects from Apollo, LinkedIn, Crunchbase and Google Places 2️⃣ Researches every company and scores each lead 0 to 100 against your ICP 3️⃣ Writes and sends personalized email and LinkedIn outreach, then logs it to your CRM -- What you get: → The full workflow → The prompts → The 0 to 100 lead-scoring logic → The exact tool stack → The ICP and positioning template -- Want the complete build? 1️⃣ Connect with me 2️⃣ Comment "ENGINE" below I'll DM you the entire system once we're connected. ♻️ Repost for priority access.
The world’s largest collection of AI use cases? (September 2026 edition) Every organization is unique. But there are AI agent, agentic AI, and generative AI use cases proven to deliver value across enterprise functions, industries, and innovation frontiers. Leveraging these use cases can help: → Accelerate time to value → Reduce costly experimentation → De-risk implementation I’ve aligned 40 sources (5201 use cases) across 20 categories: FRONTIER 1\ Physical AI 2\ Sovereign AI 3\ AI Harness 4\ Agent Identity FUNCTION 5\ Software Eng. 6\ Cust. Service 7\ ITSM 8\ Finance 9\ Sales 10\ Marketing 11\ Supply Chain 12\ Risk & Legal INDUSTRY 13\ Financial Serv. 14\ Health & LS 15\ Manufacturing 16\ Retail & Cons. 17\ Tech & Softw. 18\ Insurance 19\ Public Sector 20\ Energy Check out the graphic below for more details. P.S. I’ll continue sharing with everyone who reposts or comments on Monday, 7th September. Thank you for your patience. In the meantime, get more top 1% enterprise AI here: https://lnkd.in/eBBHY3H7
STOP using Apollo today. you can pull 15k leads for ~1/3 of a cent using this: for context: Apollo is THE most overused tool in outbound. pretty much every sender builds from it, uses the exact filters, and hits the SAME inboxes as you do. then you wonder why a list that booked calls last quarter went quiet. the reply was never in the database everyone else is also renting. it's in the communities your buyers already live in, the groups and comment sections no lead tool bothers to index. you can pull 15,000 of those people for about a third of a cent each and start sending the same week. i recorded the exact method. The LinkedIn Lead List System: → how to find the high-intent sources: groups, communities, and post engagers your buyers already hang out in → the exact method for pulling a 15,000-person community list for the price of a rounding error → how to scrape that list with Followingg(.)co without getting your LinkedIn account banned → the list-prep steps to clean the data so you can start sending the same week → why most of last year's booked calls came from communities, not a lead database → the Apollo and ZoomInfo problem: roughly 1 in 4 leads you pay for is junk that gets filtered out later this will make a MASSIVE difference to your outbound results. more than almost anything else you could do around copy, offer, etc. details below 👇
I built a complete Claude B2B Content Engine. 30 specialist agents. And I am giving the whole thing away for free 👇 Most people treat content like one job: Write a post. Publish it. Repeat. But B2B content is not one task. It is a system. Strategy decides what to say. Ideas decide what is worth saying. Creation turns it into content. Design makes it easier to consume. Distribution gets it seen. Measurement tells you what to do next. So I built 30 specialist Claude agents across the entire workflow: → Strategy & Positioning ICP, positioning, content pillars, messaging, voice → Ideation & Planning Ideas, angles, hooks, calendars, repurposing → Creation & Copy Posts, hooks, carousels, long form content, CTAs → Design & Assets Carousel briefs, graphics, data visuals, infographics, brand checks → Distribution & Engagement Posting, comments, replies, DMs, warm lead spotting → Measurement & Optimisation Performance, hook patterns, pipeline attribution, audience fit, strategy reviews Each agent has one specific job. Because the goal is not to generate more content. The goal is to build a content engine that keeps working even when you get busy. Useful for founders doing everything themselves. Useful for teams trying to turn content into pipeline. Want the complete Claude Content Engine? Get it below for free 👇
I used Claude AI to build a Big 4-style GL testing model. But I didn't want to give AI the new GL and rebuild everything again next month. So now I just drop the new GL into a folder or server and using power query I just click Refresh All. All 19 GL audit tests update automatically. That was the real automation I wanted. The first version worked brilliantly—but only for the GL I gave it. Then February closes. Then March. If every new month means going back to AI, uploading the ledger again and rebuilding the testing, we've automated the task, may be. but not the process. So I used Claude to help me rebuild the whole engine using Power Query + the Excel Data Model. Now: New GL → folder/server → Refresh All → testing updated. No rebuilding formulas. No copying exception registers. No starting again every month. The demo currently runs: • 23,543 GL lines • 10,155 journals • 19 automated audit tests • 21 Power Query queries • 3 accounting periods • 1,426 flagged lines I also added a control for something I nearly missed: Put the same month's GL in the folder twice under different filenames and your results can silently double. Now the model catches that too. This is how I think AI should be used more often in finance and audit: Don't keep asking AI to repeat the same job. Use AI to help build a system that keeps doing the job. Comment GL REFRESH and I'll send you the workbook, all 21 Power Query queries, DAX measures, setup guide and three months of demo GL.
💡 Brand New 100% FREE Course: Step-by-step 8-hour blueprint to master financial modeling, AI integration, growth positioning, and operational risk management for 2026. Want the course link? Comment "INTEREST", like, and repost this post to get it sent straight to you! 👇 What you get inside: ✅ Bulletproof Financial Forecasting & AI Integration ✅ Scalable Frameworks built for modern startups & established brands ✅ Proven Market Positioning & Strategic Risk Controls Comment "INTEREST", like, and repost now to claim your free access!
149,611 stars for a repository that ships an entire AI agency. The Agency is a free, MIT-licensed collection of more than 270 specialist agent profiles. It covers engineering, marketing, sales, design, research, and other divisions. Here is what matters for a marketing or growth team: → You install a specialist profile, not a generic prompt → Profiles exist for media buying, content, SEO, and research work → A desktop app browses the roster and installs into Claude Code, Cursor, Codex, and Gemini → A script-based installer works from the command line for the same tools → The repository itself has no subscription fee The part I find useful: a profile carries the role's method with it. Instead of re-explaining how a paid-media reviewer should read an account, the profile arrives with that context attached. Two limits worth knowing: • The repository is free. The AI tool you install the agents into may have its own charges. • A ready-made profile is a starting point. It still needs your data, your guardrails, and your review before it does real work. I have been building my own specialist skills for paid ads and SEO. This repository is a fast way to compare a structured roster against a homegrown one. Repo link in the comments
Never use generic AI prompts for your ads again. Most founders don’t struggle with launching campaigns. They struggle with making them profitable. Budget gets wasted on the wrong keywords. Ad copy fails to convert. Bidding strategies become unnecessarily complex. Cem Atik has turned eight years of advertising experience into a practical Gemini 3 library. It helps you: → Write stronger ad copy → Find better keyword opportunities → Diagnose campaign issues → Improve bidding decisions → Optimize campaigns more effectively This isn’t based on theory alone. The frameworks behind the library have been used across more than 100 industries. Inside, you’ll find: → High-converting copy prompts → Keyword discovery frameworks → Campaign optimization checklists → Diagnostic prompts → Bidding strategy builders Let me know in the comments if you’d like a copy, and I’ll send it over.
McKinsey cut somewhere between 3k-4k roles, its largest reduction since 2008, and the cuts landed hardest in junior research and analysis. Do not read that as a firm in trouble. Read it as a firm telling you something true about its own product. The junior analytical layer is the layer that manufactures the deliverable. Two associates, six weeks, a fact base assembled from expert calls at a thousand dollars an hour, a market model, an issue tree, a set of action titles rewritten four times before a partner sees them. That is where a strategy study is physically made. When a firm compresses that layer first, it is because the work in it got cheaper to do. They know exactly why. They are running the same models you can run. So the honest question for anyone about to sign a seven-figure study is no longer whether the frameworks are good. They are good. Issue trees, MECE, profit pools, the whole apparatus is genuinely excellent thinking and I use it constantly. The question is what you are paying for once the layer that produced it has been automated by the people selling it to you. The market rate for a mid-size strategy study still runs to about $1.8 million. Fourteen weeks. A partner who appears at the beginning, at the readout, and in the invoice. I rebuilt the analytical half of that engagement as over 100 copy-paste prompts. 105 of them, across 21 skill families, sequenced the way an actual engagement runs rather than the way a prompt list usually gets dumped on you: Problem framing and issue trees. The fact base. Assumption audits. Market sizing. Competitive intelligence. Segmentation. Profit pools. Strategic options. Pricing. Business cases. Portfolio review. Operating-model design. Prioritization. Roadmaps. Risk. War-gaming. KPI architecture. Stakeholder alignment. Executive narrative. Board memos. And a last family that turns the whole run into something reusable. Every prompt carries the full scaffold: what to feed it, what comes ba
SpaceXAI and the Grok Bot team are letting me give away 50 free Ultra Plans ($200) to people who reply below. I joined the beta of Grok Bot and quickly became obsessed. Here are some of my current favorite Bots: Chief of Staff Chad Everything I do routes through this. I chat with it all throughout the day as I have work I need to get done. I texted a friend recently that Grok Bot turns "a to do list" into "a done list" lol. Cheesy but true. LinkeyDinkey Dan Grok Bot has a "virtual machine" so I can have it log into LinkedIn on my behalf and help to do searches, resrearch, DMs (1:1), enrichments (small scale) and more. It's magic. You can also set up "Routines" (recurring automations). For example: I have one that triages my LI connection requests every Tuesday, and based on rules I gave it (eg: threshold of common connections) it'll accept or decline + sends me notable people. (I have it skip anyone who sent me a message, so I personally read those). Then it sends me a Slack letting me know it's done. Substack Sam Sends me a report in Slack every morning with Substack stats (no CLI, so it uses the virtual machine). eg: number of subs L24H, sources, WoW % trend up or down. Idea Inbox Irene Helps capture content ideas and flesh them out. I have no shortage of ideas, but I do struggle with organizing, prioritizing and revising ideas. Irene crushes this for me. Research Ricky Runs deep research for topics I'm researching. One thing I've noticed about Grok Bot is it is relentless. It keeps going... in a way I haven't experience with other LLMs. And it'll catch balls I dropped and send them to me, even if I didn't ask for it (in good ways, not annoying ways). ~~~ Think of Grok Bot like Slack, but with agents instead of people (you can start a channel with multiple bots). It takes 2 minutes to 'learn'. It's what I always thought claude co-work should be. It's the most magical AI experience to me since Claude Code (opus 4.6) in December, and ChatGPT b
𝗖𝗹𝗮𝘂𝗱𝗲 𝗮𝘀 𝗬𝗼𝘂𝗿 𝗖𝗢𝗢 💶 In the early days of a startup, the CEO ends up owning a bit of everything. The role is critical. The budget isn’t there. So the founder absorbs it. Running operating rhythms, closing gaps between teams, managing OKRs, vendors, performance cycles, SOPs, org health: all of it, on top of the job they already had. The ceiling isn’t capability. A COO’s job is multiple operating functions that all need full attention simultaneously. There’s only one of you. I wrote a newsletter on it: 14 ready-to-paste prompts, one for each function, that run start to finish inside Claude. Inside you’ll find: 1. How to Run the Operating Rhythm That Keeps Everyone Aligned 2. How to Make Sure Nothing Falls Through the Cracks Between Teams 3. How to Turn What Actually Happens Into Process Everyone Follows 4. How to Keep the Org Itself Healthy 5. How to Close Every Operational Gap Before It Costs You Comment COO and I’ll send you the link!
Most strategy decks cost $15K and take 6 weeks. I just built one in 12 minutes. Board-ready. Consultant-grade. $0. And I'm going to show you exactly how. Look at that gif for 10 seconds. That's a 30-page strategic analysis. Complete with appendices. Financial models. Competitive intelligence. Market sizing. All generated by AI. Here's what's inside: ✓ Executive summary with 3-year roadmap ✓ TAM/SAM/SOM with growth forecasts ✓ PESTEL breakdown (not generic—industry-specific) ✓ Porter's Five Forces with weighted scoring ✓ SWOT that actually leads to actions ✓ VRIO framework showing your unfair advantages ✓ Blue Ocean canvas with ERRC grid ✓ Financial projections with scenario modeling ✓ Implementation Gantt with milestones The game-changer: AI now pulls real market data. Applies strategic frameworks correctly. Builds financial models that actually work. Cites every source. This becomes your foundation. The strategic groundwork consultants spend weeks on? Done. Now when you bring in experts: → They start from insights, not zero → You've already mapped the landscape → Meetings focus on execution, not education → Your budget goes to strategy, not research You're not replacing strategic thinking. You're eliminating the grunt work so humans can focus on what matters: Decisions. Nuance. Execution. The secret? It's not just prompting. It's knowing which data points matter. Which frameworks to combine. How to structure the brief so AI delivers precision, not fluff. I have a full Notion board with the full guide. Let me know in the comments if you want it and I will send you a link.
🚨 S&P Global is Hiring – Data Analyst 🏢 Company: S&P Global 💼 Position: Data Analyst 📍 Location: Bangalore, India 🆔 Job ID: 330667 💼 Experience: Freshers / Experienced 🎓 Qualifications: B.E. | B.Tech | M.E. | M.Tech | B.Sc | M.Sc 💰 Expected Salary: ₹5–10 LPA (estimated) 💬 Comment "INTERESTED" and DM me. I'll share the official application link with you. 📢 I post verified fresher jobs, internships and early-career opportunities every day. 📌 Join WhatsApp Group: https://lnkd.in/gxpCFAzQ 👉 Follow Kalaiyarasan P for daily job updates. 🚀 Start applying now and take the next step in your career! Disclaimer: This post is shared for informational purposes only. Company names, logos, trademarks, salary estimates/details and application links belong to their respective owners. I am not associated with or endorsed by S&P Global #SPGlobal #DataAnalyst #Geology #DataAnalytics #FreshersJobs #Hiring #BangaloreJobs #JobsInIndia #CareerOpportunities #GraduateJobs
I stopped writing LinkedIn posts. I built a Claude LinkedIn team instead. Get it here, free. 👇🏾 ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gyEfYqXF ) 2025: → 13 views per post → No system → 700-word prompts that produced slop → 0 leads 2025: → 600k+ impressions in 60 days → $10K saas → LinkedIn content running on 8 agents Every post runs through a team: → Research Agent — scans Reddit/X for ICP pain points → Ideation Agent — finds angles worth writing about → Hook Agent — crafts openers trained on 100M+ viral impressions → Writer Agent — drafts using context engineering, not prompts → Editor Agent — cuts the fluff, tightens pacing → Tracker Agents – tracks viral posts in my niche, weekly → Voice Calibrator — matches my exact tone from a 3,000-word fingerprint → Infographics Agent — builds visuals that stop the scroll → Analytics Agent — get deep LinkedIn analytics using LinkedIn’s apis → Scheduler Agent — posts via LinkedIn API at peak times Each agent has one job. Together, they produce content that actually performs. And yes. Built on top Claude Opus / Sonnet 5. If you want the agent system, get it here free. 👇🏾
I paid $3K/month for a LinkedIn agency. Then these 17 Claude skills fired them. Get the system free ↓ ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gyEfYqXF ) The agency was good. But she didn't know my voice. Every draft needed 3 rounds of edits. The content calendar was always a week behind. I wasn't scaling. I was paying someone to keep up. So I spent 112 hours building what replaced her: 1/ ai clone — analyzes your LinkedIn, website, and X. Builds a 3,000-word ai clone Claude reads every session. 2/ research agent — scans Reddit, X, and news daily. Surfaces angles in your ICP's real language, not yours. 3/ hook generator — trained on 5,836 viral hooks across 100M+ impressions. Matches every hook to your voice profile. 4/ content writer — drafts op-eds, lead magnets, announcements, build-in-public posts. Sounds like you, not a template. 5/ viral creator tracker — tracks 40 creators weekly, fetches their last 40 posts, flags what's spiking. 1-click adapt. 6/ infographics builder — turns any idea into a finished infographic. 41+ visual styles, one prompt. 7/ scheduler + analytics — auto-posts + analytics via LinkedIn's official API. No extensions. No manual publishing. Get the system + unlimited usage link, free. 👇🏾
Here are my 17 best Claude skills for LINKEDIN: For creators and founders... You can get them below for FREE in this system! 👇 ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gttpMtZB ) When used correctly, Claude skills can replace an entire team. So I went ahead and packaged all of my best Claude skills for LinkedIn content and growth into one system. This will help you with: → CONTEXT BUILDER → HOOK GENERATION → VIRAL CREATOR / TREND TRACKING → CONTENT WRITING → INFOGRAPHICS → AI PATTERN REMOVAL → CONTENT SCHEDULING → TREND RESEARCH +++ 17 more. Get the content system here. 👇🏾
My SEO Agent now carries 26 skills. Not one mega-prompt. Twenty-six focused workflows, each built for one search job. The coverage: → Technical: audit, sitemap, hreflang, Core Web Vitals, images → Content: brief, readability, page review, schema, internal links → Research: DataForSEO, GSC interpreter, keyword clustering, topical authority → Overlap control: cannibalization detection before pages compete → Specific models: local, maps, ecommerce, competitor pages → Authority: link building → Answer engines: AEO and GEO → Reporting: monthly report generator A few things I kept on purpose: • Each skill is its own file. Install only the one your task needs. • The outputs are audits, maps, checklists, and draft material for review. • No live changes. The agent reads data and writes recommendations. Site, account, and outreach actions stay with a person. The work order matters: 1. Technical checks when access, indexation, or site performance is uncertain 2. Research skills to assemble evidence and the content map 3. Cannibalization check before approving overlapping pages 4. Page planning and review 5. Model-specific skills where the business needs them 6. AEO, GEO, and reporting once the purpose and measurement are clear The complete set is packaged as one free download. Comment SEO and I’ll send the full agent.
I just built a 36 Claude Agent Team that now runs my entire LinkedIn GTM. Kick your $5k/mo agency out and install this in 3 mins, get free access below👇 built this after realising a $5K a month agency still only covers a fraction of what a complete LinkedIn GTM system actually requires to run end to end. here is everything inside: Profile & market authority - 4 agents - covers profile architecture, headline optimisation, about section rewriting, and authority positioning that converts the right visitors before they leave. Audience intelligence - 4 agents - covers precision icp mapping, buyer intent detection, competitor monitoring, and full prospect research before any content or outreach touches the market. Content & demand generation - 6 agents - covers full funnel content strategy, scroll-stopping hook writing, lead magnet creation, tofu demand posts, and short form repurposing that pulls 400 to 800 qualified buyers from a single post. Inbound pipeline activation - 4 agents - covers comment engagement, warm signal detection, profile viewer outreach, and post engager responses that convert public attention into private conversations within 4 hours. Outbound prospect activation - 6 agents - covers connection requests, cold outreach at 31% reply rates, warm follow-up sequencing, prospecting cadences, dormant lead reactivation, and full outbound pipeline management without manual effort. Revenue conversion - 6 agents - covers reply classification, objection neutralisation, lead qualification, call booking, no-show recovery, and referral extraction built from patterns across 1,090 real booked calls. Gtm reporting & optimisation - 6 agents - covers reply rate tracking, conversion analysis, content performance, pipeline velocity, lead quality scoring, and weekly gtm reporting that shows exactly where revenue is coming from. profile → intelligence → demand → inbound → outbound → conversion → reporting every agent runs for $20 a month instead of
Claude Fable 5.1 just dropped and it can build A/B tests in Shopify now. Everyone's already using AI for CRO strategy. Now it can design and code the A/B tests too. Here's the loop: → Pull your live page into Figma → Tell Fable what to redesign or change → Fable reads the Figma and writes the code → Convert MCP creates the A/B test as a draft → You QA it on your phone and desktop, launch it when you're ready → When it's run, Fable reads the Convert report and tells you if it won That used to take a designer and a dev most of a week. Now it's an hour. Would I let it press start on its own? No. It builds, I QA, then I tell it to start when everything looks good. What changed with Claude Fable 5.1: it finishes long jobs on its own, the code is cleaner and it's a lot better at design. The whole setup, the prompts and the 10 tests to run first are in a free guide. Guide is in the pinned comment.
The item was on the shelf. The system said zero. So the store did not sell it, the replenishment engine did not reorder it, and the regional report recorded a stockout that never happened. Multiply that by a few hundred SKUs across a few hundred stores and you are leaking one to three percent of annual revenue out of a number nobody disputes, because it sits on a dashboard and dashboards feel like facts. Everybody in retail knows this one. It has a name. Phantom inventory. What almost nobody does is the boring part, which is walking the aisle with the associate who has stopped trusting the handheld and asking her what she does instead. She has a workaround. She has had it for four years. It is not written down anywhere, it is faster than the official process, and it is the single most valuable operating document your company does not own. That walk is the diagnostic. Everything after it is transcription. "Big Consulting" prices that walk as a ten-week engagement and staffs it with people who will fly home before the fix is installed. The analytical half of what they produce (the workflow map, the costed waste register, the redesign, the margin math) is now something a competent operator builds in an afternoon against their own numbers. I rebuilt that analytical half as 21 interview-style Claude skills across five layers. Interview-style matters: each one interrogates you with five to eight questions before it produces anything, because a prompt that answers immediately is guessing. Layer 1, Ground Truth (5 skills): the shadow-day debrief, the waste-signature scan, the tribal-knowledge ledger, the approval autopsy, the expedite-loop tracer. This is where the associate's workaround finally gets written down. Layer 2, Redesign (4 skills): a speed-of-light baseline, then a defended add-back, a target operating model, a changeover compressor. Layer 3, Margin Math (4 skills): the recoverable-margin range, the capacity ledger, a vendor scoreca
PE firms are losing thousands of potential acquisitions every month without ever knowing they existed. The companies easiest for your team to find are usually the easiest for others to find too. The real opportunity is in the ones that never make it into the usual databases. I put together a playbook for using Claude Code to find those companies. It covers where to look when the usual databases run dry, how to establish ownership, and how to decide whether a business deserves your attention. It also includes the research structure for turning those discoveries into a usable target file rather than another giant list of company names. The Off-Market Deal Origination Playbook for private equity. I'm making the full guide available for free. Want access? Send a connect and comment BOOK below.
If you’re raising for a startup or VC fund, I can share a new database of 145+ fundraising advisors with no retainers (only success fee). This data doesn't exist anywhere else because we collect it only through our own virtual events (with consent). You'll see: – min/max success fee % – how much was raised in the last 12 months – region focus – 13 client types they work with – contact details 👉 Let me know in the comments if you'd like free access Bonus for supporters – if you repost this to help more founders & VCs – I'll randomly select a VC book winner in 72 hrs among reposters. If you're selected, I'll DM you and ship you Unicorn Focus, The Venture Mindset, or The Book of Elon (can deliver anywhere in the world).
This LinkedIn post made me $20,000. Here's how to write a PIP: PIP = Pitch In Public (I see PIP and think this, not performance improvement plan :) Instead of DMing a prospect and telling them you can help, you publicly show them what you’d improve. It positions you as an expert and builds trust with the right audience. This is the structure I follow: 1) Pick a dream prospect → Choose someone who fits your ICP and has something you can improve. Their content, landing page, ads, website, offer, funnel, whatever falls inside your expertise. 2) Identify the gap → Show exactly what you think is holding them back. The more specific you are, the more expertise you demonstrate. 3) Explain what you’d change → Break down the actual changes you’d make and why. Give away enough of your thinking that the prospect could genuinely use the advice. That’s what stops the post from feeling like a disguised pitch. 4) Show the improvement → Whenever possible, make it visual. Use a before-and-after image, redesign, mockup, or annotated screenshot. 5) Tag the prospect → Once you’ve delivered the value, tag the person or company. Value has to come first. You want them to feel like you’ve already done useful work for them before asking for anything. 6) Make it useful to everyone else → The prospect is the example, but the lesson should apply to the rest of your audience too. Explain why your recommendations matter so anyone with the same problem can learn from the post. That’s why this format is so powerful. You’re pitching one prospect while proving your expertise to every other potential buyer reading. I wrote this post about Jay Shetty. But the client who ended up paying me over $20,000 was someone else who saw it. That’s a Pitch In Public. Don't tell people you’re good. Show them. PS - I’ve got a full guide on how to write Pitch In Public posts. Let me know in the comments if you want it.
Breaking: This Claude Fable 5 Financial Modeling Playbook Skills Can Build 100+ Financial Models! Pretty much every finance team is applying AI to draft their reports faster. Very few of them use AI to develop better financial models. And this was the problem I aimed to solve with my solution. I developed a free 20-page Financial Modeling Playbook using Claude Fable 5 for finance people interested in building models that would be: → Board-ready → Auditable → Repeatable → Maintainable → Based on deterministic calculations The main idea behind it is clear: Code is responsible for the numbers. AI is responsible for reading and drafting texts. Here are the topics covered in the playbook: - Two-level architecture - The use case of Fable 5 for finance - Building your modeling expertise - Designing a top-notch financial model - Integration of systems for real-time updates - Typical mistakes when modeling - Model governance and audit trail - 30-day implementation plan - Free templates and prompts + glossary Not the replacement of financial decision-making with AI. But the right way of doing financial modeling while applying AI. Developed exactly for CFOs, FP&A experts, accountants, analysts, and other finance leaders willing to incorporate AI in financial modeling correctly. It's available absolutely free of charge. Leave me a comment “MODEL” and I will send you the claude skills playbook for free.
Agencies charge $5,000 for this Amazon competitor report. I got it for free. Or more specifically for $0.05. I plugged one ASIN into Claude. Connected one data tool. And asked for a full competitive analysis against the top 5 competitors. What came back blew my mind. Not a basic comparison table. Not a keyword overlap chart. A full strategic teardown. Image by image. Bullet by bullet. It even scored each listing on Rufus readiness. You know, Amazon's AI shopping assistant? The one that's quietly deciding which products get recommended? Yeah. That. Here's what this changes for sellers: ✅ You see exactly where your listing loses to competitors — and why ✅ You find the image types competitors use that you're missing ✅ You spot pricing and offer gaps you didn't know existed ✅ You get a Rufus-readiness score so you're optimised for where Amazon is going The setup takes 15-20 minutes. No coding. No expensive subscriptions. Just Claude, one data connection, and one SOP. After that you can run unlimited competitive analyses. Any ASIN. Any marketplace. Any time. Let me know in the comments if you want the link and I'll send it over.
I asked Claude why my ROAS dropped on Wednesday. It found the answer in 30 seconds...Without opening Google Ads. Most PPC managers spend 3 hours every Monday doing work that should take 30 minutes. I built 24 Claude skills that close that gap. Here's every single one free. These are not prompts you copy from Twitter. These are structured skill prompts each one engineered to pull real data from your account and give you the answer a senior analyst would. No dashboards. No exports. No tab-switching. Just ask Claude in plain English. It reads your data. It answers. 24 skills across 5 categories: Analysis 6 skills → Campaign Performance Analyzer → Quality Score Deep Dive → Competitor Intelligence Monitor → Geo Performance Reviewer → Device Performance Breakdown → Keyword ROl Tracker Diagnostics 5 skills → ROAS Drop Detector → Conversion Tracking Checker → Budget Exhaustion Analyzer → Landing Page Match Checker → Impression Share Analyzer Optimization 5 skills → Wasted Spend Finder → Negative Keyword Builder → Bid Strategy Optimizer → Ad Schedule Optimizer → Budget Shift Modeler Creative 4 skills → Ad Copy Strength Grader → RSA Performance Analyzer → Headline Gap Finder → CTR Improvement Suggester Strategy 4 skills → PMax Breakdown → New Campaign Blueprint → Audience Segment Reviewer → Full Account Audit 35 The Full Account Audit skill alone does what a senior PPC consultant charges $2,000 for. The Wasted Spend Finder outputs a ready-to-paste negative keyword list from your search terms in 60 seconds. The ROAS Drop Detector tells you exactly why performance shifted without 45 minutes of tab-switching. Each skill includes: → What it does → The exact Claude prompt to copy → What output to expect All 24. In one document. Comment: SKILLS I'll send you the complete pack directly. Free. No pitch. No email required. Just the 24 prompts yours to use, keep, and share. Save this post. Tag someone managing Google Ads right now who needs to see this. You might just save them 3 hou
An agency owner quoted $25K for this animated ad. I built it with one Claude Skill instead. Here’s how it goes: Upload one photo of your product. That’s it. • It writes the script and voiceover like a pro copywriter. • It splits the ad into scenes automatically. • It generates the animation scene by scene, with no input needed. • It stitches everything together with the voiceover already on top. One Claude Skill, running inside Pletor, takes it from a single product image to a finished ad. No prompting each clip one by one. No stitching anything together yourself. Start to finish, it’s fully automated. I’m giving away the entire skill. Connect with me Like this post and drop “SKILL” in the comments I’ll send it over in your DMs.
Claude Opus 5 + Seedance 2.0. A skill that researches viral UGC ads, then builds the workflow that copies their structure. It starts by asking what you sell. This run was a clarifying serum for women over 40. Then it goes and finds the ads. Nine real UGC ads in that niche, hunted one format at a time. A street interview. Dropper ASMR. A mirror routine. A packing POV. It downloads each one, pulls the transcript, and samples frames at 1fps to read the camera work. Most teams skip this part and write prompts from memory. That is why AI UGC looks like AI UGC. The format is the thing that travels, not the script. Each decoded ad becomes a hook formula. What happens in the first 3 seconds, what the body does, whether there is a CTA at all, and why it worked. Those turn into eight director shot cards with a named camera move, the set and the light, and one spoken line of 12 words at most. The skill then builds the flow in your workspace. Eight Claude nodes adapt the shot cards to your product photo. Eight Seedance 2.0 nodes render them. Inputs: • one product photo • what you sell and who buys it Outputs: • eight 7 second vertical clips, 480p, 9:16 • eight hook angles, each traced back to a real ad • the flow itself, rerunnable on the next product The research is the reusable half. Swap the photo and the same eight formats hold. Built in Wireflow AI Comment SKILL for the Skill + workflow.
100 likes on your last post. 100 pre-qualified leads. 0 of them in your CRM. You pay for cold data while a warm list sits in your notifications for free. The people engaging with your posts already raised a hand. Here is the 7-step system to work them. 1. Post for the buyer you want ↳ Write straight to the person you want to book. Content that lands with your dream customer, not your peers ↳ To start: use your own insight, or ask the AE who closes the deals ↳ To improve: pull the language from Gong, Fellow, any notetaker ↳ To automate: a Python script pulls insights from every call weekly and updates one database 2. Pull everyone who engaged ↳ Likes, comments, reposts on your best posts, and on competitors and thought leaders in your space ↳ Apify, PhantomBuster, Trigify, or Clay 3. Enrich the list ↳ Raw profiles tell you nothing. Add company, role, seniority, firmographics ↳ Now it is a real prospecting list, not a screenshot of names 4. Rank them by fit ↳ Not everyone who engages is a buyer. Sort by how well they match your best customers ↳ Best matches first ↳ Claude or OpenAI, pushed into Salesforce or HubSpot as the source of truth 5. Stack your contact tools ↳ One tool finds about half the emails. Run several so the next catches what the first missed ↳ You only pay when a real email is found ↳ Run at least 2 paid waterfalls to max coverage: BetterContact, Prospeo, FullEnrich, Icypeas 6. Add context before you write ↳ Look up what is happening at their company right now. Hiring, funding, a new product ↳ Insight first, value first. No pitch on the first touch ↳ Claude, OpenAI 7. Reach out by fit ↳ Best accounts: multichannel with calls ↳ Medium fit: a mix of manual and automated, fewer touches ↳ Low fit: automated. Done beats perfect ↳ Nooks or Orum for heavy dialing, Lemlist or HubSpot if you are not making thousands of calls a day A like is the cheapest buying signal you will ever get. The follow-up is where it leaks. How many warm leads are
44,379 impressions + 832 comments = 8 (inbound) meetings booked i’m giving away the EXACT formula I used: the short version: - a genuinely valuable asset, packaged so well that people perceived it as something they'd normally pay for. - on a topic people actually want right now (LinkedIn DMs). - repurpose EVERYTHING there's zero reason not to be posting this exact same thing on X. diversifying your audience on there = more traction - the 8 are just the ones who booked THEMSELVESi haven't even DM'd the 832 people who commented and requested the asset yet. every one of them raised their hand, and will be far easier to book in the DMs. tldr: good asset + high perceived value + relevant topic = you go viral and print inbound calls. yet for some reason everyone still claims: "lead magnets are spammy, they don't work, everyone's doing them" they work, it's more so a skill issue. want the exact playbook i used to put this together? i threw my entire lead magnet masterclass into one place. inside: 1. a FULL Viral Lead Magnet Template Swipe File (plug-and-play templates) 2. 5 Viral Lead Magnet Prompts i use with claude (build a magnet start to finish) 3. the Viral LinkedIn Post Blueprint (packaging + the exact post formula) 4. PLUS a 15-minute loom video breaking down the psychology behind viral lead magnet posts deets on how to get it are below ⬇️
The $2.3M LinkedIn GTM Guide is finally here today. 5 Claude Folders, setup in 4 minutes, free access below 👇 $2.3M in revenue generated for our clients through linkedin in the last 2 years. every tactic, system, and workflow that produced those results is now inside 5 claude folders. here is everything inside: folder 1/ market authority system - authority profile architecture, precision icp mapping, scroll-stopping hook framework, thought leadership positioning - everything that makes the right buyers find you before they find anyone else. folder 2/ demand generation engine - viral lead magnet creation, full-funnel content strategy, tofu demand posts, buyer intent hooks - everything that pulls 400 to 800 qualified buyers into your pipeline from a single piece of content. folder 3/ warm pipeline activation - buyer signal detection, inbound lead intelligence, comment-to-conversation conversion - everything that transforms public engagement into high-intent private conversations worth having. folder 4/ revenue conversion system - precision cold outreach at 31% reply rates, warm prospect sequencing, objection neutralisation from 4,890 real conversations, frictionless call booking - everything that converts conversations into closed revenue. folder 5/ pipeline compounding system - lead qualification framework, behaviour-triggered follow-up sequences that closed 40% of 870+ calls, dormant lead reactivation, referral generation - everything that keeps qualified pipeline flowing without starting from scratch. 5 folders. every part of linkedin gtm covered. setup in 4 minutes. runs without an agency. free access below. reposting helps you skip the queue.
How the top 1% of LinkedIn creators are using claude for linkedin content: Want the entire system? Comment "claude" and its yours, free. ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gttpMtZB ) Most people install Claude, run a few prompts, and stop there. Here's what separates the casual users from the ones printing 500k+ impressions with this linkedin content system: 1/ A voice rulebook Tone, rhythm, banned words, sentence patterns — written once. Claude stops asking you to repeat yourself. Every output sounds like you from day one. 2/ Skills Pre-built content workflows — hook gen, op-eds, lead magnets, infographics, announcements. Drop them in, the Claude content system picks the right one based on your brief. 3/ Content performance agent A specialized Claude that only audits what's working in your niche. Dwell time, engagement patterns.... so you can filter and adapt what's working. Runs weekly without you thinking about it. 4/ Specialized agents 8 mini-Claudes for each job — research, viral creator tracking across 40+ accounts, repurposing, calendar planning. They run in the background. Report back. 5/ Shortcuts Build /rewrite in my voice, /humanizer, /rewrite-hook. One word triggers the entire workflow. No re-explaining. 7/ Profile-specific rules Different voice and audience rules per client or brand. Client A doesn't bleed into Client B. Ever. This took 699+ hours of testing across 8 agents running simultaneously. Comment "SYSTEM" and I'll send you access to the full system to try. (must be connected) ps: pls repost easier to sort.
50 Copilot Prompts for Finance (for Excel, Outlook, Word, PowerPoint, Teams & Copilot Chat) 👉 Comment "PROMPT" and I'll send you the full guide for free I'm limiting this one to the first 100 comments, so be quick This is the newest resource I've built and it's the most practical Copilot guide I've put together for finance teams Most finance people type three words into Copilot, get a shrug back, and decide the tool doesn't work But the prompt was the problem, not the tool Copilot is not one tool. It's the same assistant sitting in 7 different rooms, and each room sees something different: → Excel, Word, PowerPoint only read the file open in front of you → Outlook and Teams read your mail, your chats, your meetings → Copilot Chat reads files and mail across your whole company → A Copilot agent only sees what you give it Ask for something Copilot can't see from where you're standing, and it will guess. That's the single biggest reason finance people get a wrong answer back So I built 50 prompts, organized by where you actually work: 18 for Excel — variance reviews, AR aging, 3-year projections, bank reconciliations 8 for Teams — meeting recaps, decisions nobody wrote down, close status 6 for Outlook — chasing approvals, replying to auditors, month-end reminders 6 for Copilot Chat — contract terms, board prep, forecast comparisons 5 for Word — board memos, accounting policy memos, one-page summaries 4 for PowerPoint — decks built from your memo, speaker notes, cutting 40 slides to 12 3 for Copilot agents — a close status agent, an expense policy agent, a board pack reviewer Every single one is written the way a CFO briefs a controller: one line of context, the ask in finance terms, the deliverable named On top of that, I added the 4 checks I run before any AI output leaves my desk, because Copilot is fast and confident, and that combination is exactly how a wrong number ends up in a board pack I've trained 10,000+ finance professionals on AI, and companie
10 Claude Opus 4.8 workflows for LinkedIn content. Content, infographics, analytics, templates: Comment "SYSTEM" and I'll send you the system link. ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gttpMtZB ) I write LinkedIn content, not a developer > created this content system. You describe what you want in plain English. It handles the rest. Here's what I actually use it for: 1/ Full voice profile in minutes: Feeds your LinkedIn, website, and X. Outputs a 3,000-word profile. Reads it every single time after. 2/ Weekly content digest Pulls post performance, surfaces top movers, three priorities. I don't touch a thing. 3/ Content calendar 30-day pipeline from my topics. Alternating formats. No repeats within 7 days. 4/ Hook generation Feeds 5,836 viral patterns. Outputs 10 hooks matched to my voice profile. 5/ Viral creator tracking 40 creators. Weekly fetch. Flags what's spiking before everyone copies it. 6/ Lead magnet, op-ed, thought leadership, annoucement writer Topic in, hook + bullets + CTA out. Matched to my top-performing format. 7/ Infographics builder Idea in, 41+ visual styles, finished infographic out. One prompt. 8/ Repurposing engine One post becomes a thread, video script, and short-form variant. 9/ Trend scanning Reddit, X, and news. Daily niche angles filtered to my ICP. 10/ Scheduled posting Via LinkedIn's official API. No extensions. No manual publishing. Most of these took under a week to build into the system. Some took a day. If you've been doing this manually, this is the move. Want the system that runs all these 10 workflows? 1. Connect with me 2. Comment "SYSTEM" And its yours, 7 days free + unlimited usage. PS: Repost for priority access. My inbox gets flooded on these.
I built 17 Claude skills for LinkedIn to make my life easier. They're free. Comment "SYSTEM" and I'll DM you the entire 17 skill system link. ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gttpMtZB ) Here's what's inside: 💥 Voice & Research → /voice-builder - takes your LinkedIn + website URL, builds a 3,000-word voice profile with tone, cadence, and banned words → /icp-scanner - scans Reddit and X for your ICP's exact pain points and what they're debating this week → /trend-hunter - surfaces the top 100+ posts going viral in your niche every week → /creator-tracker - monitors 40 viral creators weekly, fetches their top posts, ready to adapt in 1 click template 💥 Content Creation → /hook-generator - generates 10 scroll-stopping hooks per post, trained on 100M+ impressions → /post-writer - drafts full posts using your voice profile and live research context, runs 3 QA rounds, zero AI slop → /lead-magnet - turns any post idea into a full lead magnet that pulls comments and DMs on autopilot → /announcement - frames product launches and milestones so they actually get engagement instead of crickets → /op-ed - builds contrarian opinion posts that position you as the authority in your niche → /build-in-public - documents your journey in real time, turning behind-the-scenes moments into high-trust content 💥 Visuals → /infographic-builder - pick from 4 styles (Cheatsheets, Notebook, Versus, Diagrams), auto-adapts to your post and mobile feed 💥 Story & Interview → /story-miner - asks you 20 targeted questions 1-1 podcast style, mines your answers for stories your audience has never heard → /repurpose - turns one post into 3 variations without rewriting from scratch 💥 Distribution & Optimization → /scheduler - queues 90 days of content via LinkedIn's official API, no manual work → /memory-updater - logs what you like / dislike, updates your voice fingerprint after every post, gets better over ti
20 ready to launch ads in 30 minutes. My team used to spend 2 weeks on the same output. An AI creative department broken into seven specialised Claude Skills, each with its own role, constraints and output format that works together to create Meta Ads from scratch How it works: →Load your brand context once →Researcher mines 100 reviews for verbatim customer language →Strategist turns that into 8 to 12 distinct angles →Copywriter writes hooks against 7 named frameworks →Scriptwriter and Static Director build the concepts → Producer converts them to shootable briefs →Analyst reads the results and feeds them back to the Strategist What each Skill actually outputs: → A verbatim language bank, every quote traceable to the source → Angles that pass a distinctness test, not reworded duplicates → Hooks tagged with a claim level your proof can support → Beat tables with timecodes, on-screen text and a props list → Static briefs with layout zones a designer builds without a call → Performance analysis that says insufficient data when the data is thin What this changes: → Research refresh: [2 days] to 10 minutes → Angle development: [1 week] to 15 minutes → Script and static briefs: [1 week] to 20 minutes → Concepts per cycle: [4] to 20 The bottleneck was never ideas. Seven of the eight stages between an idea and a launched ad were sitting in one person's queue. This is not a prompt pack. Every prompt carries a role, objective, inputs, constraints, process, output format and quality criteria it checks itself against before responding. The seventh agent feeds the second one, so cycle four writes better angles than cycle one. It will not lower your CPA on its own. It removes the production ceiling that stops good strategists from testing enough. I wrote the full setup down. 49 pages. Comment CREATIVE and I'll send it to you.
eCom teams: take this for free Our 90+ step campaign checklist every time we send a Klaviyo campaign.. This is the exact checklist we use every time we send a campaign for our clients, neatly put into a clean Air table. My agency FlowCandy has worked with hundreds of brands now and has perfected this checklist over 10+ years. It includes steps on how to: - Build email strategy - Optimize for AB tests - Write copy that converts - Design elevated campaign emails - Give feedback to various team members and stakeholders - A huge quality control sub-checklist If you're struggling to maintain quality, keep your Klaviyo campaigns consistent and make sure they actually drive revenue, this checklist is a must. Want it? - Just comment "Campaign Checklist" - I'll send it over ASAP
50 Claude agents now run our paid ads We built one for every job in the account 👇 Media buying is fifty small jobs done weekly Most of them are checklists, not judgment So we turned every checklist into an agent 1/ Search terms miner Reads the query report, drafts the negative list 2/ Budget pacing agent Projects end-of-month spend, flags blowouts early 3/ Creative fatigue agent Watches frequency and CTR, calls dying ads 4/ Ad library spy agent Pulls competitor creative with the angles worth stealing 5/ CAPI health agent Checks signal quality before it costs you delivery 6/ Weekly report agent Writes the Monday summary, which pages moved and why The other 44 cover audits, bids, feeds, lead quality Every agent is a setup guide, not a loose prompt Open Claude, paste the role, connect your ad account First live run on one account last week 41 wasted keywords paused, $1,700 in junk spend caught Setup to first finding took 20 minutes The full library is free, link in the first comment
get your free keyword research excel template i built this to make keyword research . . . easier to manage and turn into a clear seo action plan with the template you can → organize all your keywords in one place → group keywords by search intent and topic → quickly identify high priority opportunities → track rankings and target urls → manage content status and funnel stage → compare search volume and keyword difficulty → see your most valuable keywords instantly → monitor your overall keyword research from one dashboard the dashboard updates automatically as you add or change your data i also included a demo dubai real estate dataset so you can see how it works with real keywords want a free copy comment keyword research and share your email ~ I will send it over save this post for your next keyword research project #seo #keywordresearch #contentstrategy
LinkedIn Content can easily net your business an extra $15,000 a month I'm sharing my own content agent I built in on the post structures that already pulled 3,000+ comments and 400,000 impressions in a week Here's what it does every morning: → Reads the day's signals, picks the single one worth a post, and checks it has not already written that one → Picks 1 of 4 formulas by hashing the topic, rotating through Signal to insight, Contrarian take, Named framework teach and Checklist or mistakes, so no two posts in a row run the same shape → Takes a proven post as a structure example and rebuilds that shape around my business, while the prompt forbids reusing the example's claims, names, numbers, product or offer → Runs 13 hard checks in plain code: every number matched against the source evidence, em dashes caught by codepoint, calls to action counted across 10 patterns, engagement bait caught by regex → Sends only a draft that cleared all 13 to the judge, a second Claude scoring it 0 to 100 on grounding, specificity, hook, one idea, voice, usefulness and safety → Forces a reject on any failed hard check, so the judge can never pass what the code already failed Then it waits for my yes and publishes to my profile It never publishes duplicates, and never repeats a thing that’s proven as ineffective Free access below ↓
I built a Claude setup that runs LinkedIn for every client in your agency. I put together the set up on a document and I'm giving it away 👇 You run the setup wizard once per client. It handles the rest every day, on every account you manage. I packaged the whole pattern. 10 scheduled tasks, free: → The 07:00 news scout, so no client account is ever writing into a dead topic → The 08:00 post task and the 09:00 engagement task, the two that do most of the work → The 16:00 reply task that answers the comments before the post goes cold → The 10:00 DM prep that turns yesterday's engagement into today's shortlist → The 15:00 experiment audit that logs what worked and adapts the next one → The Saturday planner and diary, and the Sunday report you send straight to the client → The 7 behavioural rules and 7 structural voice tells that stop ten accounts reading like one person Five setup phases with a hard approval gate at phase four. Nothing goes out under a client's name without a person saying yes. The first client takes an hour to set up. The tenth takes twenty minutes. I'm giving free access to my setup.
LinkedIn outreach is dead. Comment funnels replaced it. Last month we did over 1 million impressions and 36,000 comments. That turned into 732 meetings, and not one of them started with a cold message. Here is the whole chain: Post -> comment -> DM -> resource -> booked call. Someone comments one word. The system spots it, accepts their pending connection request, and sends them something genuinely useful. The conversation starts warm, on their initiative, while you sleep. And every commenter becomes a first degree connection, so the audience for your next post is bigger than it was for this one. I put together the entire system we used to book 732 meetings so you can learn from it. Inside, you'll find: → The post structure that actually earns comments → The keyword rules, and why the wrong word silently kills delivery → How to build your first funnel in 3 steps, in the order that matters → The leak audit: 5 boxes that tell you why yours isn't converting → The part almost nobody notices, which is where the real asset is This is exclusive. But the access is free for the next 24 hours only! PS - Repost this so others can take advantage too
I connected Claude Opus 4.8 to LinkedIn. 7 things it can now do inside your content, out of the box 👇 Comment "SYSTEM" and I'll send you the exact content system link, free. ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/dVZqjATJ ) Most creators don't know this is possible yet. Here's what it unlocks: 1/ Voice profile builder: Reads your last 30 posts, LinkedIn bio, website, and X account. Builds a 3,000-word profile — tone, rhythm, patterns, vocabulary. Reads it every single time before generating anything. 2/ Research agent Scans Reddit, X, and niche news daily. Filters everything to your ICP's pain points only. Fresh angles waiting for you every morning. 3/ Ideation agent Cross-references your ICP's actual problems against what's trending right now. 15 post angles per week, each tied to a specific pain point. 4/ Hook agent Trained on 17,836 viral hooks across 100M+ impressions. Matches hook style to your voice profile so nothing reads like slop. 5/ Infographics agent: Generates viral infographics from 41+ styles — no design skills needed, no Canva templates. 6/ Viral creator tracker: Tracks 40 top creators in your niche. Analyzes their last 40 posts. Flags what's spiking. 1-click adapt to your voice. 7/ Scheduler: Posts via LinkedIn's official API – no chrome extensions. No manual publishing. I just gave it 2 links: linkedin and website url. Ran against my entire LinkedIn history. 112 seconds later I had a 3,000-word blueprint of how I write, who I am, and narrative timeline. Want the setup? 1. Connect with me 2. Comment "SYSTEM" And its yours – 7 days free + unlimited usage. PS — I can only DM connections. Repost if you want priority access.
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