Claude Deep Research Skill — Data skill for Claude Code
Enterprise-grade deep research skill for Claude Code with 8-phase pipeline, source credibility scoring, and automated validation.
How to install Claude Deep Research Skill
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open 199-biotechnologies/claude-deep-research-skill and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Claude Deep Research Skill does
Enterprise-grade deep research skill for Claude Code with 8-phase pipeline, source credibility scoring, and automated validation. Outperforms OpenAI, Gemini, and Claude Desktop in quality and verification.
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README
Deep Research Skill for Claude Code
Enterprise-grade research engine for Claude Code. Produces citation-backed reports with source credibility scoring, multi-provider search, and automated validation.
Installation
# Clone into Claude Code skills directory
git clone https://github.com/199-biotechnologies/claude-deep-research-skill.git ~/.claude/skills/deep-research
No additional dependencies required for basic usage.
Optional: search-cli (multi-provider search)
For aggregated search across Brave, Serper, Exa, Jina, and Firecrawl:
brew tap 199-biotechnologies/tap && brew install search-cli
search config set keys.brave YOUR_KEY # configure at least one provider
Usage
deep research on the current state of quantum computing
deep research in ultradeep mode: compare PostgreSQL vs Supabase for our stack
Research Modes
| Mode | Phases | Duration | Best For |
|---|---|---|---|
| Quick | 3 | 2-5 min | Initial exploration |
| Standard | 6 | 5-10 min | Most research questions |
| Deep | 8 | 10-20 min | Complex topics, critical decisions |
| UltraDeep | 8+ | 20-45 min | Comprehensive reports, maximum rigor |
Pipeline
Scope → Plan → **Retrieve** (parallel search + agents) → Triangulate → Outline Refinement → Synthesize → Critique (with loop-back) → Refine → Package
Key features:
- Step 0: Retrieves current date before searches (prevents stale training-data year assumptions)
- Parallel retrieval: 5-10 concurrent searches + 2-3 focused sub-agents returning structured evidence objects
- First Finish Search: Adaptive quality thresholds by mode
- Critique loop-back: Phase 6 can return to Phase 3 with delta-queries if critical gaps found
- Multi-persona red teaming: Skeptical Practitioner, Adversarial Reviewer, Implementation Engineer (Deep/UltraDeep)
- Disk-persisted citations:
sources.jsonsurvives context compaction and cont
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