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Zhongwei Li
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skills/workflow-generator/templates/research-template.md
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skills/workflow-generator/templates/research-template.md
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---
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description: Conduct comprehensive research across the Elixir repository to answer questions
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argument-hint: [research-query]
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allowed-tools: Read, Grep, Glob, Task, Bash, TodoWrite, Write, Skill
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---
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# Research
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You are tasked with conducting comprehensive research across the Elixir repository to answer user questions by spawning parallel sub-agents and synthesizing their findings.
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## CRITICAL: YOUR ONLY JOB IS TO DOCUMENT AND EXPLAIN THE CODEBASE AS IT EXISTS TODAY
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- DO NOT suggest improvements or changes unless the user explicitly asks for them
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- DO NOT critique implementations or identify problems
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- DO NOT recommend refactoring, optimization, or architectural changes
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- ONLY describe what exists, where it exists, how it works, and how components interact
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- You are creating technical documentation of the existing codebase
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## Steps to Execute:
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When this command is invoked, the user provides their research query as an argument (e.g., `/research How does authentication work?`). Begin research immediately.
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1. **Read any directly mentioned files first:**
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- If the user mentions specific files, read them FULLY first
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- **IMPORTANT**: Use the Read tool WITHOUT limit/offset parameters to read entire files
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- **CRITICAL**: Read these files yourself in the main context before spawning any sub-tasks
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- This ensures you have full context before decomposing the research
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2. **Analyze and decompose the research question:**
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- Break down the user's query into composable research areas
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- Identify specific Elixir modules, functions, or patterns to investigate
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- Create a research plan using TodoWrite to track all subtasks
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- Use concrete TodoWrite structure:
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```
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1. [in_progress] Identify relevant Elixir modules and components
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2. [pending] Research component A with finder agent
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3. [pending] Analyze component B with analyzer agent
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4. [pending] Synthesize findings
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5. [pending] Write research document
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```
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- Consider which Elixir components are relevant:
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- Mix configuration and dependencies
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- Application modules and supervision trees
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- Contexts (Phoenix) or domain modules
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- Schemas and Ecto queries
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- Controllers, LiveViews, and routes (Phoenix)
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- GenServers, Agents, and other processes
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- Tests (ExUnit)
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- Configuration files
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3. **Spawn parallel sub-agent tasks for comprehensive research:**
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- Create multiple Task agents to research different aspects concurrently
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- We have specialized agents for repository research:
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**For finding files and patterns:**
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- Use the **finder** agent (subagent_type="general-purpose") to:
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- Locate relevant Elixir files (`.ex`, `.exs`)
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- Show code patterns (modules, functions, behaviours)
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- Extract implementation examples
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- Example prompt: "Find all {{PROJECT_TYPE_SPECIFIC}} in the codebase and show their implementation patterns"
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**For deep analysis:**
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- Use the **analyzer** agent (subagent_type="general-purpose") to:
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- Trace execution flows through Elixir modules
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- Analyze technical implementation details
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- Explain step-by-step processing
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- Example prompt: "Analyze how the authentication plug works, tracing the complete flow from request to response"
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**For package and framework documentation:**
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- Use **core:hex-docs-search** skill for API documentation:
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- Research Hex packages (Phoenix, Ecto, Ash, Credo, etc.)
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- Find module and function documentation
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- Understand API reference and integration patterns
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- Example: `Skill(command="core:hex-docs-search")` with prompt about Phoenix.Router
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- Use **core:usage-rules** skill for best practices:
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- Find package-specific coding conventions and patterns
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- See good/bad code examples from package maintainers
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- Understand common mistakes to avoid
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- Example: `Skill(command="core:usage-rules")` with prompt about Ash querying best practices
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- Use skills when you need official documentation/conventions vs code search
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- Combine skill research with finder/analyzer for comprehensive understanding
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**IMPORTANT**: All agents are documentarians, not critics. They will describe what exists without suggesting improvements or identifying issues.
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**Key principles:**
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- Start with finder to discover what exists
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- Use analyzer for deep understanding of how things work
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- Run multiple agents in parallel when researching different aspects
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- Each agent knows its job - be specific about what you're looking for
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- Remind agents they are documenting, not evaluating or improving
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4. **Wait for all sub-agents to complete and synthesize findings:**
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- IMPORTANT: Wait for ALL sub-agent tasks to complete before proceeding
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- Compile all sub-agent results
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- Connect findings across different Elixir modules and components
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- Include specific file paths and line numbers for reference
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- Highlight patterns, connections, and implementation decisions
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- Answer the user's specific questions with concrete evidence from the codebase
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**Handling Sub-Agent Failures:**
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- If a sub-agent fails or times out, document what was attempted
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- Note which agents failed and why in the research document
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- Proceed with available information from successful agents
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- Mark gaps in coverage in the "Open Questions" section
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- Include error details in a "Research Limitations" section if significant
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5. **Gather metadata for the research document:**
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- Get current date/time: `date -u +"%Y-%m-%d %H:%M:%S %Z"`
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- Get git info: `git log -1 --format="%H" && git branch --show-current && git config user.name`
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- Determine filename: `{{DOCS_LOCATION}}/research-YYYY-MM-DD-topic-description.md`
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- Format: `{{DOCS_LOCATION}}/research-YYYY-MM-DD-topic-description.md` where:
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- YYYY-MM-DD is today's date
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- topic-description is a brief kebab-case description
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- Examples:
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- `{{DOCS_LOCATION}}/research-2025-01-23-authentication-flow.md`
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- `{{DOCS_LOCATION}}/research-2025-01-23-ecto-queries.md`
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- `{{DOCS_LOCATION}}/research-2025-01-23-phoenix-contexts.md`
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6. **Generate research document:**
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- Use the metadata gathered in step 5
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- Structure the document with YAML frontmatter followed by content:
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```markdown
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---
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date: [Current date and time in ISO format]
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researcher: [Git user name]
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commit: [Current commit hash]
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branch: [Current branch name]
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repository: [Repository name from git remote]
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topic: "[User's Question/Topic]"
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tags: [research, elixir, {{PROJECT_TYPE_TAGS}}]
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status: complete
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---
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# Research: [User's Question/Topic]
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**Date**: [Current date and time]
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**Researcher**: [Git user name]
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**Git Commit**: [Current commit hash]
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**Branch**: [Current branch name]
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**Repository**: [Repository name]
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**Project Type**: {{PROJECT_TYPE}}
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## Research Question
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[Original user query]
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## Summary
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[High-level overview of what was found, answering the user's question by describing what exists in the Elixir codebase]
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## Detailed Findings
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[Organize findings based on research type - adapt sections as needed]
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**For module/component research, use:**
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### [Module/Component 1]
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- Description of what exists (`path/to/file.ex:7-10`)
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- How it works
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- Current implementation details (without evaluation)
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- Related modules and dependencies
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**For flow/process research, use:**
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### Step 1: [Phase Name]
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- What happens (`path/to/file.ex:line`)
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- How data flows through the pipeline
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- Related handlers and processes
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**For pattern/convention research, use:**
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### Pattern: [Pattern Name]
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- Where it's used in the codebase
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- How it's implemented
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- Examples with file:line references
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## Code References
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[All relevant file:line references from Elixir files]
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- `lib/my_app/accounts/user.ex:9` - [Brief description]
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- `lib/my_app_web/controllers/session_controller.ex:16-26` - [Brief description]
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## [Optional: Implementation Patterns]
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[Include if Elixir patterns are central to the research]
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- Pattern 1: [Description]
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- Pattern 2: [Description]
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## [Optional: Pattern Examples]
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[Include if code examples clarify findings]
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```elixir
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# From lib/my_app/accounts.ex:9
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def get_user(id) do
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# implementation
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end
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```
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## [Optional: Related Research]
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[Include if other research documents are relevant]
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## [Optional: Open Questions]
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[Include if areas need further investigation]
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## [Optional: Research Limitations]
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[Include if sub-agents failed or coverage was incomplete]
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```
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7. **Write the research document:**
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- Create the file at the determined path
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- Use the Write tool to create the document with all gathered information
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- Ensure all file references include line numbers
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- Include Elixir code snippets for key patterns
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8. **Present findings:**
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- Present a concise summary of findings to the user
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- Include key file references for easy navigation (module:line format)
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- Highlight discovered patterns and implementations
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- Ask if they have follow-up questions or need clarification
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9. **Handle follow-up questions:**
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- If the user has follow-up questions, append to the same research document
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- Update the frontmatter fields `last_updated` and `last_updated_by`
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- Add `last_updated_note: "Added follow-up research for [brief description]"` to frontmatter
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- Add a new section: `## Follow-up Research [timestamp]`
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- Spawn new sub-agents as needed for additional investigation
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- Continue updating the document
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## Elixir-Specific Research Considerations:
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- **Mix Project Structure**: config/, lib/, test/, priv/, mix.exs
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- **Application Modules**: Application start, supervision trees, workers
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- **Contexts** (Phoenix): Bounded contexts, public API functions
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- **Schemas**: Ecto schemas, changesets, validations
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- **Controllers/LiveViews** (Phoenix): Request handling, renders, assigns
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- **Queries**: Ecto queries, Repo operations
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- **GenServers/Agents**: Process-based state, message handling
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- **Plugs**: Middleware, request transformation
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- **Tests**: ExUnit tests, test helpers, fixtures
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- **Configuration**: Config files, runtime config, environment variables
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## Pattern Categories to Research:
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- **Supervision Patterns**: Supervisor trees, restart strategies, child specs
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- **Data Handling**: Ecto schemas, queries, transactions, changesets
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- **Phoenix Patterns**: Contexts, controllers, LiveView, channels
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- **Process Patterns**: GenServer, Agent, Task, GenStage
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- **Authentication/Authorization**: Plugs, Guardian, Pow, custom auth
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- **Error Handling**: {:ok, result}/{:error, reason}, with blocks, error tracking
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- **Testing Patterns**: ExUnit, mocks (Mox), fixtures, factories
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- **API Patterns**: JSON APIs, GraphQL (Absinthe), REST endpoints
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## Important notes:
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- Always use parallel Task agents to maximize efficiency
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- Focus on finding concrete file paths and line numbers for Elixir modules
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- Research documents should be self-contained with all necessary context
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- Each sub-agent prompt should be specific and focused on documentation
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- Document cross-module connections and patterns
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- Include Elixir code examples with file:line references
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- Keep the main agent focused on synthesis, not deep analysis
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- Have sub-agents document Elixir patterns as they exist
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- **CRITICAL**: You and all sub-agents are documentarians, not evaluators
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- **REMEMBER**: Document what IS, not what SHOULD BE
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- **NO RECOMMENDATIONS**: Only describe the current state of the Elixir codebase
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- **File reading**: Always read mentioned files FULLY before spawning sub-tasks
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- **Critical ordering**: Follow the numbered steps exactly
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- ALWAYS read mentioned files first before spawning sub-tasks (step 1)
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- ALWAYS wait for all sub-agents to complete before synthesizing (step 4)
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- ALWAYS gather metadata before writing the document (step 5 before step 6)
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- NEVER write the research document with placeholder values
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- **Frontmatter consistency**:
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- Always include frontmatter at the beginning
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- Keep frontmatter fields consistent
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- Update frontmatter when adding follow-up research
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- Use snake_case for multi-word field names
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- Tags should include elixir and project-type specific tags
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## Example Usage:
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**User**: `/research` then "How does authentication work in this application?"
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**Process**:
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1. Read any mentioned files
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2. Create TodoWrite with research subtasks
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3. Spawn parallel agents:
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- finder: "Find all authentication-related modules and show their implementation patterns"
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- analyzer: "Analyze the authentication plug, tracing the execution flow from request to verification"
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- Skill: Search hex docs for Guardian/Pow/relevant auth library
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4. Wait for completion
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5. Synthesize findings into research document
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6. Present summary with key patterns and file references
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**User**: "How are Ecto queries structured in this codebase?"
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**Process**:
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1. Spawn parallel agents:
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- finder: "Find all Ecto query modules and show their query patterns"
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- analyzer: "Analyze how queries are composed and executed in the main contexts"
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2. Synthesize findings about query patterns, composition, and Repo usage
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3. Present comprehensive documentation with Elixir examples
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**User**: "What LiveView components are used and how are they structured?"
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**Process**:
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1. Spawn parallel agents:
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- finder: "Find all LiveView modules and identify component patterns"
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- analyzer: "Analyze LiveView lifecycle, handle_event patterns, and assign management"
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2. Synthesize findings about LiveView approach and conventions
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3. Present documentation with LiveView examples
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