How do I install the Content Research skill?

Run npx skillmds@latest add ootto-ai/content-research in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Content Research safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Content Research?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Content Research free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Content Research?

Ootto-AI (@ootto-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Content Research by ootto-ai — Agent Skill

Name: Content Research
Author: 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.

Ootto-AI 0f6b37a 3.2 KB Updated Sep 17, 2026

File contents

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

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).
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.
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.
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

Ask for a creator @handle, an account URL, or a niche (+ a few example accounts).
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.
Rank by views, compute each post's ratio vs the account median, and mark anything ~2-3x median as an outlier ("blew up here").
For the top 3-5 outliers, run reel-analyzer (or ootto-watch — github.com/Ootto-AI/ootto-watch) to break down hook / format / retention.
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.

---name: content-researchdescription: 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.license: MIT---# Content Research — stop guessing what to postMost people spend hours scrolling to figure out what to post. This skill turns Claude into a researchmachine: point it at any account or niche and it finds the exact moments that went viral and thepatterns behind them — so you copy what works instead of guessing.## What it does1. **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 it1. 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.## OutputA 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.## HonestyModel the *technique*, never copy another creator's exact script, visuals, or caption. Cite the sourcereels 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