deep-research
Conduct exhaustive, citation-rich research on any topic using all available tools: web search, browser automation, documentation APIs, and codebase exploration. Use when asked to "research X", "find out about Y", "investigate Z", "deep dive into...", "what's the current state of...", "compare options for...", "fact-check this...", or any request requiring comprehensive, accurate information from multiple sources. Prioritizes accuracy over speed, cross-references claims across sources, identifies conflicts, and provides full citations. Outputs structured findings with confidence levels and sour
npx skills add majiayu000/claude-skill-registry --skill deep-research-petekp-claude-code-setup --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.
# Deep Research Systematic methodology for conducting exhaustive, accurate research using all available tools. Prioritizes correctness over speed. ## Core Principles 1. **Multiple sources required** — Never rely on a single source for important claims 2. **Cross-reference everything** — Verify facts appear consistently across independent sources 3. **Citation mandatory** — Every claim must have a source; no unsourced assertions 4. **Acknowledge uncertainty** — When sources conflict or are weak, say so explicitly 5. **Prefer primary sources** — Official docs > blog posts > forum answers > AI-generated content ## Available Research Tools Use these tools in combination based on the research topic: | Tool | Best For | Limitations | |------|----------|-------------| | **WebSearch** | Current events, recent information, broad topic discovery | Results may be outdated, SEO-influenced | | **WebFetch** | Reading specific URLs, extracting detailed content | Requires known URL | | **Playwright browser** | Interactive sites, paywalled content (if logged in), complex navigation | Slower, requires more tokens | | **Context7/MCP docs** | Library/framework documentation | Only indexed libraries |
- Core Principles
- Available Research Tools
- Research Workflow
- Phase 1: Scope Definition
- Phase 2: Source Discovery
- Phase 3: Deep Reading
- Phase 4: Cross-Verification
- Phase 5: Synthesis & Output
- Confidence Levels
- Citation Format
- Special Research Scenarios
- Rapidly Evolving Topics (AI, crypto, etc.)
- Controversial Topics
- Technical Implementation Questions
What does the deep-research skill do?
Conduct exhaustive, citation-rich research on any topic using all available tools: web search, browser automation, documentation APIs, and codebase exploration. Use when asked to "research X", "find out about Y", "investigate Z", "deep dive into...", "what's the current state of...", "compare options for...", "fact-check this...", or any request requiring comprehensive, accurate information from multiple sources. Prioritizes accuracy over speed, cross-references claims across sources, identifies conflicts, and provides full citations. Outputs structured findings with confidence levels and sour
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill deep-research-petekp-claude-code-setup --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.