Social Media Research Skills is a collection of workflows that let AI coding agents research public social-media data across platforms such as TikTok, Instagram, YouTube, Reddit, and LinkedIn. Marketers and researchers use it to find unusually successful posts, mine comments, study competitors, analyze ads, and extract trends into business outputs. The catalogue skills and plugin package these workflows for supported AI agents.
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 ScrapeCreators/social-media-research-skills --skill content-repurposinggit clone --depth 1 https://github.com/ScrapeCreators/social-media-research-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/scrapecreators/social-media-research-skills/content-repurposing)<a href="https://agentmods.dev/skills/scrapecreators/social-media-research-skills/content-repurposing"><img src="https://agentmods.dev/badge/skills/scrapecreators/social-media-research-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.
<a href="https://agentmods.dev/skills/scrapecreators/social-media-research-skills/content-repurposing"><img src="https://agentmods.dev/badge/skills/scrapecreators/social-media-research-skills/content-repurposing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00053 | $0.00535 |
| Opus 5 | $0.00026 | $0.00267 |
| Sonnet 5 | $0.00011 | $0.00107 |
| Haiku 4.5 | $0.00005 | $0.00053 |
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 10d 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 Repurposing
Overview
Turn social research and transcripts into reusable content. This skill works best after transcript-intelligence, outlier-post-finder, or creator-profile-teardown, but it can also start directly from URLs.
When to Use
Use this skill when the user asks to:
- turn videos or transcripts into posts
- repurpose TikToks, Reels, Shorts, podcasts, or webinars
- create LinkedIn posts, X threads, scripts, newsletters, or blog outlines
- build a content calendar from winning social ideas
- adapt a competitor/creator pattern without plagiarizing
Workflow
- Gather source material: URLs, transcripts, posts, or research report.
- Extract content atoms: hooks, stories, claims, frameworks, examples, data points, CTAs.
- Choose output formats and platform constraints.
- Rewrite for the user's voice and audience.
- Keep attribution/internal notes when ideas are inspired by a source.
- Produce ready-to-use drafts plus optional variants.
Output Format
# Repurposed Content Pack
## Source Material
- [source](url)
## Content Atoms
| Atom | Source | Best format |
|---|---|---|
## LinkedIn Posts
1. ...
## X Threads
1. ...
## Short-Form Scripts
### Script 1
- Hook:
- Body:
- CTA:
## Newsletter / Blog Ideas
- ...
Common Pitfalls
- Do not plagiarize. Adapt structure and insight, not unique wording unless quoting with attribution.
- Do not flatten every platform into the same format.
- Do not lose the original hook if it is the strongest part.
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.
- 10d ago First seen · 82 lines · 53 tokens per session scan A 894468df8b24
content-repurposing is a skill published in the GitHub repository ScrapeCreators/social-media-research-skills (2,199 stars, last pushed 14d ago), licensed MIT. It adds 53 tokens to every session and 535 once invoked, about $0.0003 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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