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Conduct comprehensive academic research using OpenAlex, PDF extraction, paper search MCPs, and web search. Always produces comprehensive reports with 5+ evidence cards covering conflicting ideas and best approaches. Integrates academic papers (high weight) and non-academic sources (blogs, docs - lower weight but valuable for SOTA). Use when: (1) Researching software architecture patterns, (2) Finding academic papers on technical topics, (3) Conducting literature reviews, (4) Analyzing research papers for evidence-based decisions, (5) Building evidence cards from papers, (6) Finding related works and citations, or (7) When you need grounded, paper-backed technical recommendations. Triggers: research, find papers, literature review, evidence-based, academic research, compare approaches, what does research say, find studies on, search for papers about.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name research
description Conduct comprehensive academic research using OpenAlex, PDF extraction, paper search MCPs, and web search. Always produces comprehensive reports with 5+ evidence cards covering conflicting ideas and best approaches. Integrates academic papers (high weight) and non-academic sources (blogs, docs - lower weight but valuable for SOTA). Use when: (1) Researching software architecture patterns, (2) Finding academic papers on technical topics, (3) Conducting literature reviews, (4) Analyzing research papers for evidence-based decisions, (5) Building evidence cards from papers, (6) Finding related works and citations, or (7) When you need grounded, paper-backed technical recommendations. Triggers: research, find papers, literature review, evidence-based, academic research, compare approaches, what does research say, find studies on, search for papers about.

Research

Comprehensive academic research using OpenAlex, Paper-search, PDF extraction, and web search (Tavily). Always produces 5+ evidence cards covering conflicting ideas with weighted evidence synthesis.

Quick Start

Decision Tree:

  • Need evidence-based decision? → Use this skill
  • Quick lookup only? → Use search skill instead
  • Already researched topic? → Run ada::research:list

Core Workflow:

Step 0: Gather codebase context (ALWAYS FIRST)
Step 1: Formulate research question
Step 2: Comprehensive discovery (25+ sources)
Step 3: Create 5+ evidence cards incrementally
Critical Evaluation: Assess for codebase context
Step 4: Generate comprehensive report

Mandatory Requirements:

  • ✅ Always 5+ evidence cards (broad coverage)
  • ✅ Explicitly seek conflicting ideas
  • ✅ Weight evidence (academic + real-world sources)
  • ✅ Codebase context informs research question

CRITICAL: Write-First Pattern

MANDATORY: After 1-2 tool calls:

  1. Write/update evidence card immediately
  2. Update references.json immediately
  3. SAVE files before next tool calls
  4. CONTINUE research (writing ≠ stopping)

Why: Context windows are limited. Writing preserves knowledge even if context resets.

Failure Modes:

  • ❌ 3+ tool calls before writing → context overload
  • ❌ Stopping after one card → must continue until complete
  • ❌ Not updating references.json → loses tracking

Workflow Summary

Step 0: Codebase Context (ALWAYS FIRST)

Search codebase for: architecture, patterns, technologies, existing implementations. Use context to inform research question.

Step 1: Research Question

  1. Create .ada/data/research/{topic}/
  2. Create research-question.md using template
  3. Create references.json with intent

Step 2: Discovery (Target: 25+ Sources)

Academic (OpenAlex, Paper-search):

  • Foundational: get_top_cited_works (min_citations: 50+)
  • Recent SOTA: search_works (from_year: 2020+)
  • Citation networks: get_citation_network

Non-Academic (Tavily via search skill):

  • Blogs, docs, case studies in parallel
  • Target: 5-10 relevant sources

Conflict-Seeking:

  • "{approach A} vs {approach B}"
  • "{approach} limitations"
  • "alternative to {approach}"

Step 3: Evidence Cards (5+ Required)

  1. Read 1-2 papers/sources
  2. Create/update evidence card
  3. Update references.json
  4. SAVE files
  5. REPEAT until 5+ cards

Grouping: Same approach → same card. Different approach → new card.

Critical Evaluation

After 5+ cards, before report:

  1. Assess strengths/weaknesses
  2. Evaluate for codebase context
  3. Compare tradeoffs systematically
  4. Identify best fit

Step 4: Research Report

  1. Re-read all evidence cards: ada::research:show
  2. Re-read research-question.md
  3. Create research-report.md using template
  4. Include "Answer to Original Question" section

Tools Quick Reference

Tool Purpose When
OpenAlex get_top_cited_works Foundational papers Discovery
OpenAlex search_works Recent SOTA Discovery
OpenAlex get_citation_network Related work Deep dive
Paper-search search_arxiv Preprints Recent work
PDF read_pdf Extract content Reading papers
Tavily (search skill) Non-academic Parallel discovery
zai-zread search_doc Semantic issues/PRs/docs Real-world implementations
webfetch Direct URL reads Lightweight docs/files
look_at Interpret diagrams/images PDFs/screenshots

Research Management Commands

ada::research:status              # Full status + next action
ada::research:status --next       # Just next action
ada::research:status --checkpoint # Verify state
ada::research:status --ref <name> # Load reference file

ada::research:list                # List all sessions
ada::research:show <session>      # Show evidence cards
ada::research:cleanup --all       # Clear PDFs

Load References On-Demand:

ada::research:status --ref workflow      # Workflow guide
ada::research:status --ref evidence-cards # Card guide
ada::research:status --ref template-card  # Card template
ada::research:status --ref weighting      # Weighting framework

Key Tips (Reminders)

Source Weighting

Type Weight Examples
Academic (50+ citations) High Peer-reviewed papers
Academic (10-50 citations) Medium Recent SOTA
Real-world case studies High Company post-mortems
Blogs, tutorials Medium-Low Expert content

Evidence Card Essentials

  • Key claims with page number citations
  • Assumptions and conditions
  • Tradeoffs and limitations
  • Related/conflicting approaches
  • Implementation resources

Common Mistakes

  • ❌ Reading 3+ papers before writing → Write after 1-2
  • ❌ Not seeking conflicts → Explicitly search opposing views
  • ❌ Skipping codebase context → Always start with Step 0
  • ❌ Stopping at 3 cards → Must reach 5+ for broad coverage

Directory Structure

.ada/
├── data/research/{topic}/
│   ├── research-question.md
│   ├── evidence-card-*.md
│   ├── research-report.md
│   └── references.json
└── temp/research/downloads/  # Temporary PDFs

References

Templates:

  • references/templates/template-research-question.md
  • references/templates/template-evidence-card.md
  • references/templates/template-research-report.md
  • references/templates/template-references.json

Guides:

  • references/guides/guide-workflow.md - Detailed workflows
  • references/guides/guide-evidence-cards.md - Card creation
  • references/guides/guide-weighting.md - Source weighting
  • references/guides/guide-critical-evaluation.md - Evaluation framework
  • references/guides/guide-reports.md - Report generation
  • references/guides/guide-adaptive-strategies.md - Handling edge cases

Examples:

  • references/examples/example-evidence-card.md
  • references/examples/example-research-report.md
  • references/examples/example-workflows.md

Reference:

  • references/reference/reference-tools.md - Complete MCP documentation

Integration

  • With search skill: Use Tavily in parallel for non-academic sources
  • With docs-write: Use evidence cards for documentation decisions