Colin

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Colin

Colin

@Colinoioi

social media marketing skills for your ai agent:https://t.co/B1kxShpcHb just one prompt

Katılım Ocak 2026
75 Takip Edilen36 Takipçiler
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Colin
Colin@Colinoioi·
We built 50+ marketing skills for AI agents like Codex, Claude Code, and OpenClaw. Tell your agent what you want: find trending TikTok or Instagram formats, reverse-engineer the hook, generate AI UGC images, produce viral short videos. One prompt to start: “Please install and configure PostPlus skills for me: postplus.io/postplus-agent…” Your agent does the work. Your turn.
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Colin
Colin@Colinoioi·
AI UGC just became much easier. I’m sharing a skill that simplifies the entire AI video workflow. From researching viral TikTok ads → to script writing → to generating videos → to local editing — everything now happens inside one agent workflow. No more jumping between Gemini, Kling, Seedance 2.0, ChatGPT, TikTok, and editing tools over and over again. Just copy this prompt into Codex or Claude Code: “Please install and configure PostPlus skills for me: postplus.io/postplus-agent…” Your coding agent basically becomes your AI marketing team.
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Colin
Colin@Colinoioi·
Let me show every startup a growth strategy that’s already working: Use AI UGC. But more importantly — use the AI UGC that’s already converting. Most founders are still guessing what content to make. Meanwhile, their competitors are already running AI-generated videos that pull millions of views, customers, and sales. So instead of guessing: – search your niche – see which AI videos are actually winning – study the hooks, structures, personas, and formats – reverse-engineer the strategy – adapt it to your own product You don’t need to reinvent virality. You need to understand the patterns behind it. Link below. postplus.io
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Colin
Colin@Colinoioi·
I want to connect with people who are into: – building with Claude / Cursor / Codex – using AI to actually grow products – experimenting with AI-native marketing workflows – automating content, distribution, or growth systems – treating AI as leverage, not just a chatbot Especially founders, indie hackers, marketers, and builders who believe small teams can now compete with much larger companies. If that sounds like you, let’s connect 🤝
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Colin
Colin@Colinoioi·
@DanielSmidstrup definitely we build social media marketing cli for ai agent
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Daniel Smidstrup
Daniel Smidstrup@DanielSmidstrup·
Are you building something people actually need?
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Colin
Colin@Colinoioi·
@sembra_ai try use codex to bridge the gap in production and distribution. we now provide service by running workflow that run ai generation and distribution in a workflow, that actually no need so many people and you can easily keep doing that cuz it is not annoying
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Sembra
Sembra@sembra_ai·
@Colinoioi the gap we keep seeing is between content production and distribution. most teams are decent at producing, then the post goes out once and disappears. curious what your repeatable loops actually look like in practice.
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Colin
Colin@Colinoioi·
I’m looking for people who actually know distribution. Not “growth hacks.” Not recycled threads. I mean people who have: – gotten real users from content – scaled organic distribution – figured out repeatable acquisition loops – tested unusual marketing systems that actually worked If that’s you, drop your lessons, frameworks, or experiences below. The most valuable replies will get the most attention from everyone reading this thread. 🤝
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Colin
Colin@Colinoioi·
Higgsfield MCP is terrible. I genuinely couldn’t stand the experience. So I built this instead: PostPlus. Most AI video tools stop at “generate image/video.” But PostPlus is a full social media marketing OS. It covers the entire loop: Research → Strategy → Script → Generation → QA → Distribution → Iteration Here’s the difference: Higgsfield: – only only only only! generate assets PostPlus: – research competitors across TikTok / IG / YouTube / XHS / FB – analyze winning hooks and formats – build ad angles and content strategy – generate scripts, B-roll structures, edits, voiceovers – run Creative QA + Prompt Preflight before generation – publish content + creator outreach – feed performance benchmarks back into the system And yes — PostPlus can still call Higgsfield when needed. But generation engines are becoming commodities. The real leverage is the workflow around them.
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Colin
Colin@Colinoioi·
Production cost is like $10. Runs inside Claude Code, Cursor, and Codex. Indie hackers should seriously try this. You don’t need to hire creators. You don’t need a huge marketing budget. You install one CLI with a prompt — and suddenly your coding agent becomes your marketing director. It researches hooks, generates UGC concepts, builds ad variations, rewrites scripts, and helps you test ideas faster than most agencies can even schedule a call. The interesting shift isn’t “AI can make videos.” It’s that marketing execution is starting to become programmable.
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austin lau
austin lau@helloitsaustin·
most growth marketers use AI to rewrite headlines and call it a day. here's how I actually use Claude on the growth marketing team at @AnthropicAI across chat, Claude Cowork, and Claude Code 👇
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• nanou •
• nanou •@NanouuSymeon·
Describe your startup with 5 words 👇
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Colin
Colin@Colinoioi·
The fastest way to go viral is copying what already works. Want to know which AI videos your competitors are using to drive millions in sales? Copy the strategy. Search a keyword — and instantly see the AI-native accounts, viral formats, posting patterns, hooks, and content structures dominating that niche. Most people waste time guessing. The smart ones reverse-engineer winners.
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Colin
Colin@Colinoioi·
I tried the MCP-style approach, but honestly I think there’s a better interaction model. MCP works well only if you already deeply understand the product and the workflow around it. The problem is: most people who know they want to use MCP still don’t actually know much about video production itself. I think the better interface is a CLI. A good CLI can embed tutorials, workflows, examples, guardrails, and contextual guidance directly into the experience. Instead of just exposing capabilities, it actively teaches users how to create better content while they use it. The real bottleneck isn’t access to models anymore. It’s knowing what to do with them.
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Mercy Thaddeus
Mercy Thaddeus@global_techgirl·
I made this UGC video inside Claude with one prompt. No editing, no switching tools, no stitching clips together. This wasn't possible a month ago. Now it is. Brands are paying creators thousands for videos like this and most people don't know it's this easy now. If you run a product brand, you can make these yourself too. Save this for when you're ready to try it. Link and prompt in comments
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Colin
Colin@Colinoioi·
It's free for the first 100 customers! DM "i need this" then i will contact you! I've been building something boring-looking but I think is useful:A feature that maps AI UGC adoption across niches. Why? Because everyone tells you "use AI for video" but nobody tells you WHO is doing it successfully in YOUR category. So you end up copying random advice instead of real competitors. This fixes that. You pick a niche, it shows you the AI-native accounts, their output velocity, and the efficiency delta. That's it
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Colin
Colin@Colinoioi·
Everyone's talking about "how to create AI UGC." Nobody can tell you which AI UGC videos actually worked. I built a feature for that. It shows you: • Who in your niche is using AI to produce videos • How much efficiency lift they're getting • Exactly what you can copy to win Stop guessing. Start replicating.
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Colin
Colin@Colinoioi·
@prompt_papi can't agree more. i summary 6 hook types and create a hook skills. much easier to design hook
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goop
goop@prompt_papi·
hooks matter more than your product, your offer, or your creative. a great hook on a mediocre product outperforms a perfect ad with a weak hook every time. nobody reads past the first line if the first line doesn't earn the read. most operators are still trying to write "creative" hooks from scratch every time. the operators printing are running proven frameworks. here are some of the patterns that consistently work in DTC: open loop: "not a lot of [audience] knows this, but did you know [bold statement]?" benefit-driven: "how i went from [bad] to [good] in [x] days" listicle: "4 reasons why [problem] is ruining [outcome]" problem-driven: "if you struggle with [problem], this is going to change your life" discreditation: "why i stopped using [alternative] and started using [product]" objection handling: "i just bought [product]. let's see if it actually works" before & after: "this is me [x] weeks ago. this is me now." social proof: "POV: you're [audience] and you finally found the right [product]" each one targets a different brain quirk: curiosity, aspiration, pattern recognition, frustration, tribal identity, skepticism, transformation, social belonging. the video below is one of them. an AI yapper character. zero shoot day. one prompt. 5 minutes start to finish. hooks are the entire game. AI just made deploying them easier. learn these or fall behind the operators who already did.
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Colin
Colin@Colinoioi·
You don't have to save them one by one. Try PostPlus. Just one prompt for your agent: "Please install and configure PostPlus skills for me: postplus.io/postplus-agent…" He will help you. That is it.
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Colin
Colin@Colinoioi·
I analyzed 800+ TikTok UGC ads I found 6 mechanisms that keep showing up in high-retention content. Here is the fastest way to understand each one: 1.Bold Claim Open by challenging a default belief. "Most creators are killing their reach with captions." Creates cognitive tension. Viewer has to test it against what they believe. Needs proof within 3 seconds or it backfires.
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Colin
Colin@Colinoioi·
6.Social or Identity Stake Open when the real pain is social, not technical. "People do not skip because they hate products. They skip because they know they are being sold to." Confidence, status, belonging — these hit harder than features.
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