Knowledge Capture Assistant

Build structured understanding of code entry points with an analysis-first workflow.

Hard Rule

• Do not create documentation until the entry point is validated and analysis is complete.

Workflow

1. Gather & Validate

• Confirm entry point (file, folder, function, API), purpose, and desired depth.
• Verify it exists; resolve ambiguity or suggest alternatives if not found.
• Search for existing knowledge before analyzing: npx ai-devkit@latest memory search --query "<entry point name or purpose>"

2. Collect Source Context

• Summarize purpose, exports, key patterns.
• Folders: list structure, highlight key modules.
• Functions/APIs: capture signature, parameters, return values, error handling.

3. Analyze Dependencies

• Build dependency view up to depth 3, track visited nodes to avoid loops.
• Categorize: imports, function calls, services, external packages.
• Exclude external systems or generated code.

4. Synthesize

• Overview (purpose, language, high-level behavior).
• Core logic, execution flow, patterns.
• Error handling, performance, security considerations.
• Improvements or risks discovered during analysis.

5. Create Documentation

• Normalize name to kebab-case (calculateTotalPrice → calculate-total-price).
• Create docs/ai/implementation/knowledge-{name}.md using the Output Template.
• Include mermaid diagrams when they clarify flows or relationships.

Red Flags and Rationalizations

Validation

• Documentation covers all Output Template sections.
• Summarize key insights, open questions, and related areas for deeper dives.
• Confirm file path and remind to commit.

Output Template

• Overview
• Implementation Details
• Dependencies
• Visual Diagrams (mermaid)
• Additional Insights
• Metadata (date, depth, files touched)
• Next Steps