content-research
Skill417 starsChanged 3 months agoMITView on GitHub
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.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- cuevaio/skillstheir own version, first seen Oct 3, 2026
- biblcontentofficial-art/Premiere-Pro-edit-bibltheir own version, first seen Jul 15, 2026
- stiron92-byte/claude-skillstheir own version, first seen Jul 6, 2026
- rami-maalouf/skillstheir own version, first seen May 19, 2026
- YepAPI/skillstheir own version, first seen Apr 12, 2026
- skytiger6724/qwen-skillstheir own version, first seen Apr 9, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- biblcontentofficial-art/Premiere-Pro-edit-bibl★ 19same name
- YepAPI/skills★ 8same name
- cuevaio/skills★ 2same name
- rami-maalouf/skills★ 2same name
- skytiger6724/qwen-skills★ 2same name
- stiron92-byte/claude-skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository54 other files it gives its agents.
- ab-hook-testerSkill
- agent-reachSkill
- ai-brainSkill
- analytics-readoutSkill
- audience-personasSkill
- best-time-schedulerSkill
- bio-profile-optimizerSkill
- b-roll-shot-listSkill
- campaign-briefSkill
- caption-and-hashtagsSkill
- carousel-builderSkill
- collab-outreachSkill
- comment-miningSkill
- comment-responderSkill
- community-engagement-planSkill
- competitor-positioningSkill
- competitor-teardownSkill
- content-auditSkill
- content-calendarSkill
- content-factorySkill
- content-pillar-builderSkill
- content-repurposerSkill
- cover-thumbnail-briefSkill
- creator-outreachSkill
- cross-platform-distributionSkill
- cross-platform-reformatterSkill
- cta-writerSkill
- dm-script-writerSkill
- going-viralSkill
- hashtag-keyword-researchSkill
- hook-miningSkill
- humanizerSkill
- influencer-partnershipsSkill
- launch-retrospectiveSkill
- linkedin-thought-leadershipSkill
- on-screen-text-writerSkill
- paid-social-briefSkill
- positioning-auditSkill
- profile-conversion-auditSkill
- reel-analyzerSkill
- reel-builderSkill
- reel-scripterSkill
- series-plannerSkill
- social-analytics-reportSkill
- social-listeningSkill
- social-proof-miningSkill
- story-sequencerSkill
- trend-spotterSkill
- ugc-creator-briefSkill
- utm-campaign-planSkill
- viral-carouselSkill
- viral-hook-writerSkill
- viralitySkill
- x-thread-strategySkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 40
Ask for a creator @handle, an account URL, or a niche (+ a few example accounts).
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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-analyzerskill / 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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.