Agent Skills: Research

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.

UncategorizedID: LukasStrickler/ai-dev-atelier/research

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Skill Metadata

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