
Deep Research
Deep Research conducts enterprise-grade research that synthesizes multiple sources, tracks citations, and scores source credibility to produce verified, citation-backed reports through a structured eight-phase pipeline. It serves researchers, analysts, and decision-makers who need comprehensive, evidence-backed analysis rather than simple web lookups, automatically selecting research depth (quick, standard, deep, or ultradeep) based on query complexity. The skill solves the problem of information synthesis at scale by managing source verification, preventing citation drift, and delivering reports with proper limitations and recommendations in a standardized format.
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- 16
- skills.sh installs
- 10.4K
- GitHub stars
- 1.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add 199-biotechnologies/claude-deep-research-skill --skill deep-research --agent claude-codeInstalls into .claude/skills of the current project.
Files
Deep Research
Core Purpose
Deliver citation-tracked research reports through a structured pipeline with evidence persistence, source identity management, claim-level verification, and progressive context management.
Autonomy Principle: Operate independently. Infer assumptions from context. Only stop for critical errors or incomprehensible queries. Surface high-materiality assumptions explicitly in the Introduction and Methodology rather than silently defaulting.
Decision Tree
Request Analysis
+-- Simple lookup? --> STOP: Use WebSearch
+-- Debugging? --> STOP: Use standard tools
+-- Complex analysis needed? --> CONTINUE
Mode Selection
+-- Initial exploration --> quick (3 phases, 2-5 min)
+-- Standard research --> standard (6 phases, 5-10 min) [DEFAULT]
+-- Critical decision --> deep (8 phases, 10-20 min)
+-- Comprehensive review --> ultradeep (8+ phases, 20-45 min)
Default assumptions: Technical query = technical audience. Comparison = balanced perspective. Trend = recent 1-2 years.
Workflow Overview
Sponsors
Details
- Repository
- github.com/199-biotechnologies/claude-deep-research-skill
- Categories
- Data Science & ML, Debugging