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- memory/: cross-session project memory with decisions, lessons, failures, architecture, and sessions categories. Each has format templates and lifecycle documentation. - skills/: 12 reusable specialized methodologies (tdd, systematic-debugging, architecture-design, code-review, security-review, repository-analysis, failure-analysis, refactoring, test-analysis, incident-investigation, browser-automation, research). Each has frontmatter and methodology sections. - improvements/: proposal-based improvement system requiring human approval. - scripts/memory-lifecycle.sh: deterministic memory operations (recall, store, list, search, sessions, cleanup). - scripts/test-memory-system.sh: 12 structural tests for all new systems. - orchestrator.md: added Memory Recall stage, Learning and Memory Storage stage, Improvement Proposals workflow, memory/skills rules, and 3 new actions (A23-A27) to the action catalog. Updated behavioral acceptance test and state separation model. - All 12 subagents: added Memory & Skills Awareness sections with recall and store instructions. - docs/AGENT_ARCHITECTURE.md: documented memory, skills, and improvements systems (sections 12-14). Updated action count (27), state model, and remaining weaknesses. - README.md: documented new systems, updated repository layout, added test-memory-system.sh documentation. All 39 tests pass (16 architecture + 12 memory + 11 bootstrap).
1.9 KiB
1.9 KiB
name, description, version, owner, prerequisites
| name | description | version | owner | prerequisites |
|---|---|---|---|---|
| repository-analysis | Systematic repository exploration — understanding codebase structure, patterns, and conventions | 1.0 | Explorer | repo access |
Repository Analysis
When to use this skill
- First encounter with a repository
- Understanding a new area of a familiar repository
- Before architectural or implementation decisions
Step-by-step procedure
1. Orientation
- Read README, package.json/pyproject.toml, or equivalent
- Identify the project's purpose, language, and framework
- Note the top-level structure
2. Entry points
- Find the main entry points (main, index, app)
- Trace the execution flow from entry to key functionality
- Identify the public API surface
3. Structure
- Map the directory structure to logical components
- Identify module boundaries and dependencies
- Note naming conventions
4. Build & test
- Identify the build system and commands
- Find the test suite and how to run it
- Check for linting, type-checking, CI configuration
5. Conventions
- Note coding style (formatting, naming, patterns)
- Identify architectural patterns (MVC, layered, etc.)
- Check for existing documentation of conventions
6. Dependencies
- Review external dependencies
- Note version constraints and lock files
- Identify any custom or vendored dependencies
Common pitfalls
- Exploring too broadly (lost in the codebase)
- Not recording findings (have to re-explore)
- Confusing what exists with what is intended
- Not distinguishing generated from hand-written code
- Ignoring test files (they reveal intent)
Evidence requirements
- File:line references for key findings
- Confidence levels for uncertain findings
- Questions for follow-up investigation
Exit criteria
- System map with key files and their roles
- Confidence levels for each finding
- Open questions listed
- Findings recorded in report