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.
npx skills add Ootto-AI/claude-content-skills --skill content-repurposergit clone --depth 1 https://github.com/Ootto-AI/claude-content-skillsWrote 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.
[](https://agentmods.dev/skills/ootto-ai/claude-content-skills/content-repurposer)<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/content-repurposer"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/content-repurposer/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.
<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/content-repurposer"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/content-repurposer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00073 | $0.00520 |
| Opus 5.5 | $0.00029 | $0.00208 |
| Sonnet 5.5 | $0.00015 | $0.00104 |
| Haiku 4.5 | $0.00007 | $0.00052 |
Grade A, and why
content-repurposer 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 1mo 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.
What it actually says
Content Repurposer
Turn one long source into a week of short-form videos — the heart of a content factory.
When to use
You have a blog post, podcast episode, YouTube video, or webinar and want 5+ reels out of it instead of one.
What you'll need
The source text or transcript (paste it, or a detailed summary), your audience, and the platform. Optional: brand voice.
Instructions
Give Claude the source, then run this prompt:
You are my content repurposing engine. From the source below, extract the short-form video gold.
Source:
"""
[paste blog post / transcript / detailed summary]
"""
Audience: [who it's for] Platform: [Reels/TikTok/Shorts]
Do this:
1. Pull the 5 most reel-worthy ideas (a surprising claim, a how-to, a myth, a story, a result). One line each.
2. For each idea: write 1 scroll-stopping hook + a 3-beat outline (hook → value → CTA).
3. Flag which 2 have the highest viral potential and why (emotion, specificity, or contrarian angle).
Keep it concrete and lifted from the source — no generic filler.
Obsidian memory tip: Keep your long-form library in your Obsidian vault (Filesystem MCP), and Claude can repurpose across sources — "find the 5 best reel ideas across everything I published this quarter," not just one post.
Tip: One good podcast can become 8-10 reels. Batch the scripts, then film in one sitting.
Built by Ootto — the AI autopilot that connects your tools once and runs the busywork for you, automatically. Book a demo →
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.
- 1mo ago First seen · 55 lines · 73 tokens per session scan A c3f1aedb197b
content-repurposer is a skill published in the GitHub repository Ootto-AI/claude-content-skills (301 stars, last pushed 10d ago), licensed MIT. It adds 73 tokens to every session and 520 once invoked, about $0.0003 per session on Opus 5.5. 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.
Other skills, from other repositories
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Scrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API. Covers TikTok, Instagram, YouTube, LinkedIn, Facebook, Twitter/X, Reddit, Threads, Bluesky, Pinterest, Snapchat, Twitch, Kick, Truth Social, TikTok Shop, Google, and link-in-bio services (Linktree, Komi, Pillar, Linkbio…
outlier-post-finder
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.
ad-library-teardown
Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.
comment-mining
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
competitor-social-research
Use when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.
transcript-intelligence
Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.