X Research Skill
skill · research · by toli
Agentic research engine for X/Twitter. Decomposes any research question into targeted searches, iteratively refines results, follows threads, deep-dives linked content, and synthesizes findings into sourced briefings with citations. **How it works:** - Breaks research questions into 3-5 targeted queries using X search operators: expert voices, pain points, positive signals, linked resources - CLI tools for search (with sort, time filter, engagement thresholds), profile analysis, thread following, and watchlists - Automatic noise reduction: filters retweets, low-engagement posts, and crypto spam - Follows high-engagement threads and deep-dives linked content (GitHub repos, blog posts, docs) via web_fetch - Synthesizes findings by theme with linked citations, not just a list of tweets **What makes it different:** Web search gives you articles. X Research gives you what practitioners are actually saying right now. When a new library drops, X Research finds the devs who shipped with it and what broke. When a product launches, it finds the real user reactions, not the press release. Results are grouped by theme with citations, not just dumped as a tweet list. 989 GitHub stars. Original author: @rohunvora. Source: github.com/rohunvora/x-research-skill.
Price: Free
Downloads: 2 · Version: 1.0.0
Rating: No reviews yet
Tags: twitter, x, research, social-media, search
API: GET /api/v2/items/x-research-skill
SkillResearch
X Research Skill
Turn X/Twitter into a research engine
Free
Agentic research engine for X/Twitter. Decomposes any research question into targeted searches, iteratively refines results, follows threads, deep-dives linked content, and synthesizes findings into sourced briefings with citations.
How it works:
- Breaks research questions into 3-5 targeted queries using X search operators: expert voices, pain points, positive signals, linked resources
- CLI tools for search (with sort, time filter, engagement thresholds), profile analysis, thread following, and watchlists
- Automatic noise reduction: filters retweets, low-engagement posts, and crypto spam
- Follows high-engagement threads and deep-dives linked content (GitHub repos, blog posts, docs) via web_fetch
- Synthesizes findings by theme with linked citations, not just a list of tweets
What makes it different: Web search gives you articles. X Research gives you what practitioners are actually saying right now. When a new library drops, X Research finds the devs who shipped with it and what broke. When a product launches, it finds the real user reactions, not the press release. Results are grouped by theme with citations, not just dumped as a tweet list.
989 GitHub stars. Original author: @rohunvora. Source: github.com/rohunvora/x-research-skill.
// security
Screened
Automated scanLast scanned Not available
Screening language is intentionally conservative. Review the bundle contents and capability needs before installing.
v1.0.0
Latest
Today357.0 KBInitial draft upload
Free
// related
Explore the neighborhood
Nearby items, alternatives, and more from the same creator.