# 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. - Author: Lukas Strickler - Repository: LukasStrickler/ai-dev-atelier - Version: 20260120202828 - Stars: 1 - Forks: 0 - Last Updated: 2026-02-06 - Source: https://github.com/LukasStrickler/ai-dev-atelier - Web: https://mule.run/skillshub/@@LukasStrickler/ai-dev-atelier~research:20260120202828 --- --- 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." metadata: author: ai-dev-atelier version: "1.0" --- # 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 ```bash ada::research:status # Full status + next action ada::research:status --next # Just next action ada::research:status --checkpoint # Verify state ada::research:status --ref # Load reference file ada::research:list # List all sessions ada::research:show # Show evidence cards ada::research:cleanup --all # Clear PDFs ``` **Load References On-Demand:** ```bash 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