Deep Research Skill
Conduct thorough technical research before implementation to ensure high-quality, informed decisions.
Workspace Mode Note
When running in workspace mode, all paths are relative to .aha-loop/ directory:
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Research reports: .aha-loop/research/ (not scripts/aha-loop/research/ )
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Knowledge base: .aha-loop/knowledge/ (not knowledge/ )
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Vendor directory: .aha-loop/.vendor/ (not .vendor/ )
The orchestrator will provide the actual paths in the prompt context.
The Job
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Identify research topics from the current story's researchTopics field
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Fetch third-party library source code if needed
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Search documentation and best practices
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Analyze and compare alternatives
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Generate a research report
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Update knowledge base with findings
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Mark researchCompleted: true in prd.json
Research Process
Step 1: Identify What to Research
Read the current story from prd.json and extract:
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researchTopics
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explicit topics to investigate
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Dependencies mentioned in acceptance criteria
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Patterns referenced in the description
Also check:
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Previous story's learnings field for follow-up research needs
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knowledge/project/gotchas.md for related known issues
Step 2: Fetch Library Source Code (If Needed)
For any third-party library research, fetch the source:
Fetch specific library
./scripts/aha-loop/fetch-source.sh rust tokio 1.35.0
Or fetch all project dependencies
./scripts/aha-loop/fetch-source.sh --from-deps
After fetching, the source will be at .vendor/<ecosystem>/<name>-<version>/
Library Version Selection
Always Prefer Latest Stable Versions
When researching or recommending libraries, always check for and prefer the latest stable version unless there's a specific compatibility reason not to.
Version Research Process
Query the package registry for latest version:
Rust (crates.io)
curl -s "https://crates.io/api/v1/crates/tokio" | jq '.crate.max_stable_version'
Or use cargo
cargo search tokio --limit 1
Node.js (npm)
npm view react version
Python (PyPI)
pip index versions requests 2>/dev/null | head -1
Verify stability:
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Released at least 1-2 weeks ago (not bleeding edge)
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Check GitHub issues for critical bugs
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Review changelog for breaking changes
Check compatibility:
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Works with existing project dependencies
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Compatible with project's minimum supported language version
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No known conflicts
Version Documentation
Always document version decisions:
Version Decision: [Library Name]
Selected Version: X.Y.Z Latest Available: X.Y.Z (as of YYYY-MM-DD) Reason: [Why this version was chosen]
Compatibility Notes:
- Works with [other dependency] v[X.Y]
- Requires [language] v[X.Y]+
When to Use Older Versions
Only use older versions when:
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Latest version has critical bugs
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Incompatible with required dependencies
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Breaking changes require significant refactoring
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Project explicitly constrains the version
Always document the reason in knowledge/project/decisions.md :
ADR: Using [Library] v[Old] instead of v[New]
Context: [Why we're not using latest] Decision: Pin to v[Old] Consequences: [What we're missing, when to revisit]
Step 3: Read Source Code Strategically
Reading Order (Most Important First):
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README.md - Understand design intent and quick-start examples
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Entry Point Files:
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Rust: src/lib.rs , src/main.rs
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TypeScript/JS: src/index.ts , index.js
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Python: init.py , main.py
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Module Structure - Scan mod.rs files or directory structure
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Type Definitions - Find core structs, interfaces, types
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Target Functionality - Locate the specific feature you need
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Tests - Learn correct usage patterns from test files
Reading Tips:
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Use semantic search to find relevant code sections
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Focus on PUBLIC APIs, skip internal implementation unless needed
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Look for examples/ directory for usage patterns
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Check tests/ for edge cases and proper usage
Step 4: Web Search for Context
Search for:
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Official documentation
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Best practices and common patterns
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Known issues and gotchas
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Performance considerations
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Alternative libraries
Use MCP tools like context7 for up-to-date documentation.
Step 5: Compare Alternatives (If Applicable)
When multiple solutions exist, create a comparison:
Criterion Option A Option B Option C
Performance ... ... ...
API Ergonomics ... ... ...
Maintenance Status ... ... ...
Bundle Size ... ... ...
Learning Curve ... ... ...
Include a recommendation with reasoning.
Research Report Template
Save to: scripts/aha-loop/research/[story-id]-research.md
Research Report: [Story ID] - [Story Title]
Date: YYYY-MM-DD Status: Complete | Needs Follow-up
Research Topics
- [Topic from researchTopics array]
- ...
Findings
Topic 1: [Name]
Summary: Brief answer to the research question
Source Code Analysis:
- Library: [name] v[version]
- Key File:
.vendor/rust/tokio-1.35.0/src/runtime/mod.rs - Relevant Code: Lines 123-189
- Pattern Observed: [description]
Documentation Notes:
- [Key insight from docs]
- [Another insight]
Code Example:
// Example from source or docs
Topic 2: [Name]
...
Alternatives Comparison
Criterion
Option A
Option B
Recommendation
...
...
...
...
Recommendation: [Option X] because [reasoning]
Implementation Recommendations
Based on research, the story should be implemented as follows:
- [Specific implementation guidance]
- [Pattern to follow]
- [Pitfalls to avoid]
Follow-up Research Needed
- [Topic that needs deeper investigation]
- [Question that emerged during research]
Knowledge Base Updates
The following should be added to knowledge base:
To knowledge/project/patterns.md
:
- [Pattern specific to this project]
To knowledge/domain/[topic]/
:
- [Reusable knowledge about a library or technique]
---
## Updating Knowledge Base
### Project Knowledge (`knowledge/project/`)
Add patterns specific to THIS project:
- How this codebase uses a library
- Project-specific conventions discovered
- Gotchas specific to this codebase
### Domain Knowledge (`knowledge/domain/`)
Add reusable technical knowledge:
- Library usage patterns (applicable to any project)
- Comparison documents
- Best practices
**Create new topic directories as needed:**
knowledge/domain/
└── [topic-name]/
├── README.md # Overview
├── patterns.md # Common patterns
├── gotchas.md # Known issues
└── examples/ # Code examples
---
## Source Code Reading Report
When you read library source code, document your findings:
```markdown
## Source Code Analysis: [Library] v[Version]
### Module Structure
src/
├── lib.rs # Main entry, exports public API
├── runtime/ # Async runtime implementation
│ ├── mod.rs # Module exports
│ └── scheduler.rs # Task scheduling
└── sync/ # Synchronization primitives
### Key Types
- `Runtime` (src/runtime/mod.rs:45) - Main runtime struct
- `Handle` (src/runtime/handle.rs:23) - Runtime handle for spawning
### Key Functions
- `Runtime::new()` (L89-L120) - Creates new runtime with default config
- `spawn()` (L156-L189) - Spawns a new async task
### Usage Patterns from Tests
From `tests/runtime.rs:34`:
```rust
let rt = Runtime::new().unwrap();
rt.block_on(async {
// ...
});
Important Notes
- Thread safety: Runtime is Send + Sync
- Performance: Use spawn_blocking
for CPU-heavy tasks
- Gotcha: Don't call block_on
from async context
---
## Checklist
Before marking research complete:
- [ ] All `researchTopics` investigated
- [ ] Library source code fetched and key files read (if applicable)
- [ ] Web search performed for documentation and best practices
- [ ] Alternatives compared (if multiple options exist)
- [ ] Research report saved to `scripts/aha-loop/research/`
- [ ] Knowledge base updated with reusable findings
- [ ] Implementation recommendations documented
- [ ] `researchCompleted: true` set in prd.json