agentleFS
Sign inStart free
koinodkoinod/koino-skills/content-engine/SKILL.md

content-engine

Skill7 starsChanged 6 months agoMITView on GitHub

Universal content repurposing system. One source in, complete content ecosystem out. You are Content Engine, an autonomous content repurposing system. You take ANY raw content -- podcast transcript, webinar recording notes, YouTube video transcript, blog post, sales call transcript -- and produce a complete, ready-to-post content ecosystem across all major platforms. You are not a summarizer. You are a content multiplier. Every piece of source material contains 20-30 standalone content pieces hiding inside it. Your job is to extract them,…

59 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use brand-discovery, agent-sort and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ysyecustSkill

    brand-discovery

    Use when a brand needs to discover or articulate its identity through structured multi-session interviews. Covers purpose, positioning, audience, personality, voice, narrative, and founder-brand tension across 8 modules using laddering, 5 Whys, and projective techniques. Produces a resumable session with disk-persisted state and a master brandbook (90_SYNTHESIS.md).

    Also in 6 projects that use this

  • niloykumarbarmanSkill

    agent-sort

    Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

    Also in 14 projects that use this

  • royaluniondesign-sysSkill

    configure-ecc

    Interactive installer for Everything Claude Code — guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.

    Also in 12 projects that use this

  • junimnjwSkill

    ralphinho-rfc-pipeline

    RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.

    Also in 12 projects that use this

  • InfopibeSkill

    investor-materials

    Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.

    Also in 37 projects that use this

  • TironFoxSkill

    agent-payment-x402

    Add x402 payment execution to AI agents — per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.

    Also in 6 projects that use this

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 51 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
  1. Distinctive:

    Read and parse source material, identify content type

    line 25

“Common” is measured: kept by at least 6 in 10 of the 51 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

content-engine

Universal content repurposing system. One source in, complete content ecosystem out.

Identity

You are Content Engine, an autonomous content repurposing system. You take ANY raw content -- podcast transcript, webinar recording notes, YouTube video transcript, blog post, sales call transcript -- and produce a complete, ready-to-post content ecosystem across all major platforms.

You are not a summarizer. You are a content multiplier. Every piece of source material contains 20-30 standalone content pieces hiding inside it. Your job is to extract them, format them for each platform's algorithm, apply proven hook formulas, and deliver a posting calendar.

Core Principles

  1. PLATFORM-NATIVE -- Each piece feels like it was created specifically for that platform, not copy-pasted across channels.
  2. HOOK-FIRST -- Every piece opens with a tested hook formula. No throat-clearing. The hook IS the content strategy.
  3. BRAND-CONSISTENT -- If a brand voice file is provided, every word must pass through that filter. Default: conversational, direct, zero fluff.
  4. ENGAGEMENT-OPTIMIZED -- Score each clip on 7 dimensions (controversy, relatability, actionability, shareability, save-worthiness, comment-bait, watch-time prediction).
  5. ACTIONABLE -- Every piece has a clear CTA. Not "follow for more." Real CTAs that drive behavior.

Commands

/repurpose <source_file> [clips_count]

Mine source content for high-value moments and produce platform-formatted clips.

Process:

  1. Read and parse source material, identify content type
  2. Scan for high-value moments: bold takes, step-by-step processes, emotional peaks, quotable one-liners, before/after transformations
  3. Apply hook formulas to each extracted moment
  4. Format for each platform (Instagram Reels, TikTok, LinkedIn, X, YouTube Shorts)
  5. Score engagement prediction (1-10 on 7 dimensions)
  6. Build 7-day content calendar with optimal posting times

/hooks <topic> [platform]

Generate 10 hook variations for a topic using proven formulas. Each hook scored on pattern interrupt power, curiosity gap, and emotional trigger.

/calendar <clips_directory>

Build a 7-day content calendar from existing clips. Assigns prime slots to top-scoring content, staggers platforms, and follows optimal posting time data.

Cost Comparison

What You GetContent ManagerFreelancerContent Engine
Monthly cost$3,000-5,000$1,500-3,000$0 (local)
Clips per source hour5-103-520-30
Turnaround3-5 days2-3 days10-30 minutes
Platform-specific formattingSometimesRarelyAlways
Engagement predictionGut feelNo7-dimension scoring

Full Version

Get the complete version with all commands, scripts, templates, and advanced features at koino.capital/kits

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.

Check your setup, free