Content Research logo

Content Research

Organization
Ootto-AI
content-research

Turn Claude into a content research machine for any niche. Point it at any creator or account and it pulls their posts, finds the exact ones that blew up (the outliers), then breaks down WHY — the hook, the format, and the retention patterns — and surfaces the repeatable playbook you can copy. Use when the user says "research this niche", "what's working for @account", "find what's going viral in [niche]", "what should I post about", "study this creator", or wants a content strategy grounded in real data instead of guessing.

Overview

PublisherOotto-AI
Repositoryclaude-content-skills
Skill namecontent-research
Stars
264
Forks
53
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Ootto-AI on GitHub. Read the source before you install it.

Installation

Install the Content Research AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Ootto-AI/claude-content-skills/tree/main/skills/content-research
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Ootto-AI/claude-content-skills.git /tmp/claude-content-skills
mkdir -p .claude/skills
cp -r /tmp/claude-content-skills/skills/content-research .claude/skills/content-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content Research in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Content Research on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Content Research is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Content Research — stop guessing what to post

Most people spend hours scrolling to figure out what to post. This skill turns Claude into a research machine: point it at any account or niche and it finds the exact moments that went viral and the patterns behind them — so you copy what works instead of guessing.

What it does

  1. Pull the posts. For a creator/account, gather their recent reels + view counts (Instagram Graph API via Composio, or any list of reel URLs the user provides).
  2. Find the spikes. Rank posts by views and flag the outliers — the exact posts where the account blew up vs their baseline. Those are the moments worth studying.
  3. Break down WHY. For each outlier, study the reel frame-by-frame + transcript (hand off to the reel-analyzer skill / ootto-watch) and extract the hook (first 2s), the format/structure, the pacing, and the retention pattern.
  4. Surface the playbook. Across the outliers, surface the repeatable patterns — the hook types, formats, and topics that consistently earn saves/shares — and turn them into a short, copyable plan for the user's own niche.

How to run it

  1. Ask for a creator @handle, an account URL, or a niche (+ a few example accounts).
  2. Pull their reels + view counts. Options:
    • sandcastles.ai — a research engine that pulls top channels and auto-surfaces the viral outliers + the frameworks behind them (fastest path; connect it to Claude and let it do the heavy lifting).
    • Composio Instagram tools — free/DIY: list a creator's media + insights from the Graph API.
    • Or a plain list of reel URLs the user pastes.
  3. Rank by views, compute each post's ratio vs the account median, and mark anything ~2-3x median as an outlier ("blew up here").
  4. For the top 3-5 outliers, run reel-analyzer (or ootto-watch — github.com/Ootto-AI/ootto-watch) to break down hook / format / retention.
  5. Synthesize: list the winning hook patterns, formats, and topics, then write 3 ready-to-shoot ideas for the user's own account modeled on what actually worked.

Output

A short research report:

  • The spikes — which posts blew up and by how much (vs baseline).
  • Why they worked — hook / format / retention breakdown per outlier.
  • The playbook — the repeatable patterns + 3 original ideas for your niche.

Honesty

Model the technique, never copy another creator's exact script, visuals, or caption. Cite the source reels you studied. View counts come from real data (Composio / what the user provides) — never fabricate.

Part of the Ootto content-skills marketplace. Pairs with reel-analyzer, going-viral, and reel-scripter.

Frequently asked questions

What does the Content Research AI skill do?

Turn Claude into a content research machine for any niche. Point it at any creator or account and it pulls their posts, finds the exact ones that blew up (the outliers), then breaks down WHY — the hook, the format, and the retention patterns — and surfaces the repeatable playbook you can copy. Use when the user says "research this niche", "what's working for @account", "find what's going viral in [niche]", "what should I post about", "study this creator", or wants a content strategy grounded in real data instead of guessing.

Why use Content Research on TypingMind?

Because you install it once and use it with any model. Content Research is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Content Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ootto-AI/claude-content-skills/tree/main/skills/content-research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Content Research?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Content Research?

As many as you like. As long as a model supports skills, you can use Content Research with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Content Research AI skill free?

Yes. It is published on GitHub by Ootto-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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