deep-research
Orchestrates two-round parallel agent research with Exa orientation, breadth-first discovery, and depth-focused synthesis. Use when conducting comprehensive research, exploring complex topics requiring multi-source validation, or synthesizing findings from distributed investigation streams.
npx skills add majiayu000/claude-skill-registry --skill deep-research-bsamiee-parametric-portal --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.
# [H1][DEEP-RESEARCH] >**Dictum:** *Iterative dispatch with inter-round critique maximizes research coverage.* <br> Conduct comprehensive topic research via parallel agent dispatch. **Workflow:** 1. §ORIENT — Execute 3 Exa searches via `exa-tools` skill, map landscape, extract facets 2. §ROUND_1 — Dispatch 6-10 agents for breadth coverage via `parallel-dispatch` skill 3. §CRITIQUE_1 — Filter findings, retain quality, build skeleton with gaps 4. §ROUND_2 — Dispatch 6-10 agents to flesh out skeleton 5. §CRITIQUE_2 — Synthesize holistically, deduplicate, produce final output **Dependencies:** - `exa-tools` — Web search and code context queries (primary) - `perplexity-tools` — Deep research and reasoning queries (supplementary) - `tavily-tools` — Web search with domain governance (supplementary) - `parallel-dispatch` — Agent orchestration mechanics **Input:** - `Topic`: Domain to research - `OutputPath`: Target file path (passed by invoking command, default: `report.md`) - `Constraints`: Context, scaffold, style from invoking skill [CRITICAL]: - [ALWAYS] Main agent writes to `OutputPath` only—no other files. - [ALWAYS] Sub-agents RETURN structured text—main agent is sole file writer. -
- [1][ORIENT]
- [2][ROUND1]
- [3][CRITIQUE1]
- [4][ROUND2]
- [5][CRITIQUE2]
- [6][VALIDATION]
What does the deep-research skill do?
Orchestrates two-round parallel agent research with Exa orientation, breadth-first discovery, and depth-focused synthesis. Use when conducting comprehensive research, exploring complex topics requiring multi-source validation, or synthesizing findings from distributed investigation streams.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill deep-research-bsamiee-parametric-portal --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.