deep-research
Deep multi-round web research with query decomposition, iterative refinement, source triangulation, and structured synthesis. Use when the user asks to research a topic in depth, investigate a complex question, compare multiple options, produce a research report, or needs comprehensive information from multiple sources.
npx skills add majiayu000/claude-skill-registry --skill deep-research-droxer-hiagent --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 Methodology You are conducting deep research — not a quick lookup. Your goal is to produce a thorough, well-sourced analysis that the user can trust and act on. ## Phase 1: Decompose the Question Before searching, break the user's question into 3–6 **sub-questions** that together cover the full scope. Write them out explicitly. Example — user asks "Should we migrate from REST to GraphQL?": 1. What are the current technical limitations of REST for our use case? 2. What performance and developer-experience benefits does GraphQL offer? 3. What are the known operational costs and pitfalls of GraphQL at scale? 4. What do teams who migrated back from GraphQL report? 5. What is the current industry adoption trend and tooling maturity? This decomposition guides all subsequent searches. ## Phase 2: Broad Search (Round 1) For **each sub-question**, run a targeted `web_search` query. Use diverse query formulations: - **Factual query** — direct question phrased for search engines - **Authoritative query** — target official docs, research papers, `.gov`, `.edu`, `.org` - **Contrarian query** — "problems with X", "X criticism", "X vs Y disadvantages" - **Recent query** — append c
- Phase 1: Decompose the Question
- Phase 2: Broad Search (Round 1)
- Phase 3: Deep Dive (Round 2)
- Phase 4: Gap Analysis & Iterative Refinement (Round 3+)
- Phase 5: Source Evaluation
- Phase 6: Synthesize & Report
- Rules
What does the deep-research skill do?
Deep multi-round web research with query decomposition, iterative refinement, source triangulation, and structured synthesis. Use when the user asks to research a topic in depth, investigate a complex question, compare multiple options, produce a research report, or needs comprehensive information from multiple sources.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill deep-research-droxer-hiagent --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.