Productivity

deep-research

199-biotechnologies/claude-deep-research-skill · updated Apr 8, 2026

$npx skills add https://github.com/199-biotechnologies/claude-deep-research-skill --skill deep-research
summary

Multi-source research synthesis with citation tracking, source verification, and structured reporting across 8-phase methodology.

  • Executes parallel searches and spawns concurrent agents to gather 10+ sources quickly, with credibility scoring and triangulation across sources
  • Generates comprehensive markdown reports with full bibliographies, executive summaries, and detailed findings—each claim immediately cited [N]
  • Produces three output formats automatically: markdown (source), McKins
skill.md

Deep Research

Core Purpose

Deliver citation-backed, verified research reports through a structured pipeline with source credibility scoring, evidence persistence, and progressive context management.

Autonomy Principle: Operate independently. Infer assumptions from context. Only stop for critical errors or incomprehensible queries.


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

Phase Name Quick Standard Deep UltraDeep
1 SCOPE Y Y Y Y
2 PLAN - Y Y Y
3 RETRIEVE Y Y Y Y
4 TRIANGULATE - Y Y Y
4.5 OUTLINE REFINEMENT - Y Y Y
5 SYNTHESIZE - Y Y Y
6 CRITIQUE - - Y Y
7 REFINE - - Y Y
8 PACKAGE Y Y Y Y

Execution

On invocation, load relevant reference files:

  1. Phase 1-7: Load methodology.md for detailed phase instructions
  2. Phase 8 (Report): Load report-assembly.md for progressive generation
  3. HTML/PDF output: Load html-generation.md
  4. Quality checks: Load quality-gates.md
  5. Long reports (>18K words): Load continuation.md

Templates:

Scripts:

  • python scripts/validate_report.py --report [path]
  • python scripts/verify_citations.py --report [path]
  • python scripts/md_to_html.py [markdown_path]

Output Contract

Required sections:

  • Executive Summary (200-400 words)
  • Introduction (scope, methodology, assumptions)
  • Main Analysis (4-8 findings, 600-2,000 words each, cited)
  • Synthesis & Insights (patterns, implications)
  • Limitations & Caveats
  • Recommendations
  • Bibliography (COMPLETE - every citation, no placeholders)
  • Methodology Appendix

Output files (all to ~/Documents/[Topic]_Research_[YYYYMMDD]/):

  • Markdown (primary source)
  • HTML (McKinsey style, auto-opened)
  • PDF (professional print, auto-opened)

Quality standards:

  • 10+ sources, 3+ per major claim
  • All claims cited immediately [N]
  • No placeholders, no fabricated citations
  • Prose-first (>=80%), bullets sparingly

When to Use / NOT Use

Use: Comprehensive analysis, technology comparisons, state-of-the-art reviews, multi-perspective investigation, market analysis.

Do NOT use: Simple lookups, debugging, 1-2 search answers, quick time-sensitive queries.