deep-research-team
This skill should be used when the user asks for "deep research", "research team", "comprehensive analysis", "research report", "investigate thoroughly", "compare X vs Y in depth", or needs synthesis across multiple sources with verification. It spawns a coordinated team of researcher agents across multiple rounds, with the lead triaging findings and creating targeted follow-up tasks. Scales from Focused (2 researchers, 1-2 rounds) to Comprehensive (4 researchers, 3-4 rounds with cross-verification). Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.
npx skills add majiayu000/claude-skill-registry --skill deep-research-team --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 Team (Lead Orchestrator) Conduct thorough, iterative research by coordinating a persistent team of researcher agents across multiple rounds. This architecture enables mid-investigation steering, targeted follow-up based on emerging findings, and cross-agent verification. ## Architecture Overview ``` Round 1: Investigation Round 2: Follow-up Synthesis ┌──────────┐ ┌──────────┐ ┌────────┐ │Researcher│ sends findings │Researcher│ sends findings │ │ │ A ├─────────┬───────>│ A ├─────────┬───────>│ │ └──────────┘ │ └──────────┘ │ │ │ │ │ │ │ v dispatches v │ │ ┌──────────┐ ┌────────┐ ┌──────────┐ ┌────────┐ │ Lead │ │Researcher├───>│ Lead │───>│Researcher├───>│ Lead │───>│ synth │ │ B │ │triages │ │ B │ │triages │ │ esizes│ └──────────┘ └────────┘ └──────────┘ └────────┘ │ │ ^ ^ │ │ ┌──────────┐ │ ┌──────────┐ │ │ │ │Researcher├─────────┴───────>│Researcher├─────────┴───────>│ │ │ C │ sends findings │ C │ sends findings │ │ └──────────┘ └──────────┘ └────────┘ ``` **Key principles:** 1. **No peer-to-peer researcher communication.** All coordination goes through the lead. This preserves the independence that accounts for 87% of multi-agent gains (Choi et al.) and avoids sy
- Architecture Overview
- When to Use
- Effort Calibration
- Output Directory
- Calibrated Confidence Language
- Process
- Phase 0: Classify Question Type
- Phase 1: Clarify and Plan
- Phase 2: Calibrate Effort
- Phase 3: Team Setup
- Phase 4: Investigation Loop
- Phase 5: Synthesize (Type-Aware)
- Phase 6: Persist Report
- Phase 7: Cleanup
if [ -d "$(pwd)/deep-research" ]; then
echo "$(pwd)/deep-research"
elif [ -n "$CLAUDE_DEEP_RESEARCH_DIR" ]; then
eval echo "$CLAUDE_DEEP_RESEARCH_DIR"
else
mkdir -p "$(pwd)/deep-research"
fi
mkdir -p {output_dir}/{topic-slug}
prettier --write --prose-wrap preserve "{output_dir}/{topic-slug}/**/*.md"What does the deep-research-team skill do?
This skill should be used when the user asks for "deep research", "research team", "comprehensive analysis", "research report", "investigate thoroughly", "compare X vs Y in depth", or needs synthesis across multiple sources with verification. It spawns a coordinated team of researcher agents across multiple rounds, with the lead triaging findings and creating targeted follow-up tasks. Scales from Focused (2 researchers, 1-2 rounds) to Comprehensive (4 researchers, 3-4 rounds with cross-verification). Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill deep-research-team --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.