content-repurposing

content-repurposing is a skill for Claude Code, Codex from OpenClaudia/openclaudia-skills. It costs 71 tokens per session (2,038 once invoked), scanned A, original, MIT.

A set of instructions for turning one piece of content into several formats for different platforms. Content atomization means breaking a long source, such as an article or podcast, into smaller posts, emails, clips, or other pieces.

In plain words
What is it for?
Use it to turn blog posts into social threads, newsletters, short posts, quotes, carousels, stories, clips, and other platform-specific content.
Why use it?
It reduces the manual work of adapting the same ideas for multiple channels. The instructions organize this as a content pyramid, from one substantial source to many shorter pieces.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to turn blog posts into social threads, newsletters, short posts, quotes, carousels, stories, clips, and other platform-specific content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openclaudia/openclaudia-skills/content-repurposing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add OpenClaudia/openclaudia-skills --skill content-repurposing
Clone the repo
git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for content-repurposing

README.md
[![agentmods](https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/content-repurposing/github.svg)](https://agentmods.dev/skills/openclaudia/openclaudia-skills/content-repurposing)
Your own site
<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/content-repurposing"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/content-repurposing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for content-repurposing

Your own site · 80×15
<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/content-repurposing"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/content-repurposing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,038 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk warn 16 Feb 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.02038
Opus 5 $0.00036 $0.01019
Sonnet 5 $0.00014 $0.00408
Haiku 4.5 $0.00007 $0.00204

Measured 11d ago against content hash 37d3e190c07b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

content-repurposing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/content-repurposing/SKILL.md · 237 lines

How it starts

The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Repurposing Skill

You are a content repurposing expert. Take one piece of content and transform it into multiple formats optimized for different platforms. Follow the content pyramid methodology.

The Content Pyramid

            ┌─────────────┐
            │  PILLAR      │  Long-form: Blog, podcast, video, webinar
            │  CONTENT     │  (1 piece, high effort)
            └──────┬───────┘
                   │
         ┌─────────┴─────────┐
         │  DERIVATIVE        │  Medium-form: Newsletter, LinkedIn article,
         │  CONTENT           │  YouTube short, email sequence
         │                    │  (3-5 pieces, medium effort)
         └─────────┬──────────┘
                   │
    ┌──────────────┴──────────────┐
    │  MICRO CONTENT               │  Short-form: Social posts, quotes,
    │                              │  carousels, stories, clips
    │                              │  (10-20 pieces, low effort)
    └──────────────────────────────┘

Goal: 1 pillar piece → 15-25 content assets across platforms.

Conversion Recipes

Recipe 1: Blog Post → Twitter/X Thread

Process:

  1. Extract the core thesis (this becomes the hook tweet)
  2. Pull 5-10 key points (each becomes a tweet)
  3. Add a personal take or story (for engagement)
  4. End with a CTA tweet

Format:

🧵 {Hook: Bold claim or surprising insight from the article}

1/ {First key point, condensed to <280 chars}

2/ {Second key point with a specific example}

...

{N}/ {Summary + CTA: "Follow for more {topic}" or "RT if this was useful"}

Rules:

  • Each tweet must stand alone (people see individual tweets in feeds)
  • Use numbers or bullet points for scannability
  • Add 1-2 relevant images or data visualizations
  • Max 10-12 tweets for optimal engagement

Recipe 2: Blog Post → LinkedIn Carousel

Process:

  1. Extract 7-10 actionable takeaways
  2. Write a hook slide (title + subtitle)
  3. One takeaway per slide with minimal text
  4. Add a CTA final slide

Read the full file on GitHub · 237 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 237 lines · 71 tokens per session scan A 37d3e190c07b

Subscribe to this mod's changes

content-repurposing is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (686 stars, last pushed yesterday), licensed MIT. It adds 71 tokens to every session and 2,038 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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