head to head · open source
social-media-research-skills vs Vibe-Skills
social-media-research-skills has 5,418 GitHub stars, 117 forks, 3 open issues and last shipped 2 months ago. Vibe-Skills has 3,793 stars, 343 forks, 42 open issues and last shipped yesterday. social-media-research-skills leads on adoption by 43% (5,418 vs 3,793 stars). social-media-research-skills is written in Python under MIT; Vibe-Skills is written in Python under Apache-2.0. social-media-research-skills has attracted 2% as many forks as stars, Vibe-Skills 9%. Vibe-Skills was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agent-skills, ai-agents, claude-code), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| social-media-research-skills | Vibe-Skills | |
|---|---|---|
| GitHub stars | ★ 5.4K | ★ 3.8K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-08-26 | 2026-11-04 |
| Forks | ⑂ 117 | ⑂ 343 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick social-media-research-skills if
- You weight community size — 5.4K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Vibe-Skills if
- You want the Vibe-Skills feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and Vibe-Skills fits your workflow better
About social-media-research-skills
Social Media Research Skills for AI Agents Practical AI agent skills for social media research, powered by ScrapeCreators. These skills help agents find outlier posts, mine comments, summarize transcripts, tear down competitors, analyze ad libraries, and turn public social data into useful business artifacts. This is not just endpoint routing. The goal is to give your AI agent complete research workflows it can run across TikTok, Instagram, YouTube, Reddit, X/Twitter, LinkedIn, Facebook, Threads, Bluesky, Pinterest, Rumble, ad libraries, and more. Install Works with Claude Code, Cursor, OpenAI Codex, GitHub…
read the full social-media-research-skills overview →
About Vibe-Skills
English 中文 Latest release · v4.1.0 Quick start · Measured on SkillsBench Mean verifier reward: +21.12 pp Total tokens: 29.6% · Tool calls: 33.1% SkillsBench is a benchmark designed to evaluate whether AI agents can effectively use Skills to complete professional tasks across diverse domains. Its purpose is to measure how much a model’s ability to solve complex real world tasks improves when it is equipped with specialized Skills. To evaluate performance in production like environments where a large number of Skills are installed simultaneously, we adapted SkillsBench into a more realistic large scale multi Skill…
read the full Vibe-Skills overview →
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Frequently asked questions
Is social-media-research-skills or Vibe-Skills more popular?
social-media-research-skills has 5,418 GitHub stars and Vibe-Skills has 3,793. social-media-research-skills has the larger community by that measure.
Are social-media-research-skills and Vibe-Skills free?
Both are open source. social-media-research-skills is licensed under MIT and Vibe-Skills under Apache-2.0. Neither carries a licence fee.
What is the difference between social-media-research-skills and Vibe-Skills?
social-media-research-skills is written in Python and Vibe-Skills in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, social-media-research-skills or Vibe-Skills?
Choose social-media-research-skills if you want the larger community (5,418 stars) or its MIT licence terms. Choose Vibe-Skills if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.