research
Comprehensive multi-source research with academic depth. Searches web, social platforms, news, academic databases, and GitHub. Discovers papers, datasets, and open source implementations. Use when conducting research, literature reviews, or investigating any topic.
npx skills add majiayu000/claude-skill-registry --skill research-damionrashford-rivalsearch-plugin --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Research Conduct comprehensive research on: **$ARGUMENTS** Follow these steps precisely using RivalSearchMCP tools. Report progress after each step. ## Step 1: Web Discovery Use `web_search` for broad discovery: - query: "$ARGUMENTS", num_results: 15, extract_content: true, follow_links: true, max_depth: 2 Identify the top 3-5 most relevant URLs. Note key themes and recurring sources. ## Step 2: Social & Community Pulse Use `social_search` to gauge community discussions: - query: "$ARGUMENTS", platforms: ["reddit", "hackernews", "devto", "producthunt", "medium"], max_results_per_platform: 10, time_filter: "year" Analyze what practitioners are saying. Note consensus, debate, and emerging opinions. ## Step 3: News Coverage Use `news_aggregation` for recent developments: - query: "$ARGUMENTS", max_results: 15, time_range: "month" Identify breaking news, announcements, and trend shifts. ## Step 4: Academic Literature Use `scientific_research` twice for peer-reviewed sources: 1. operation: "academic_search", query: "$ARGUMENTS", max_results: 15, sources: ["semantic_scholar", "arxiv"] 2. operation: "academic_search", query: "$ARGUMENTS survey OR review OR overview", max_results: 5 Iden
- Step 1: Web Discovery
- Step 2: Social & Community Pulse
- Step 3: News Coverage
- Step 4: Academic Literature
- Step 5: Datasets & Implementations
- Step 6: Deep Content Retrieval
- Step 7: Compile Report
What does the research skill do?
Comprehensive multi-source research with academic depth. Searches web, social platforms, news, academic databases, and GitHub. Discovers papers, datasets, and open source implementations. Use when conducting research, literature reviews, or investigating any topic.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill research-damionrashford-rivalsearch-plugin --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.