agentic-layer-audit
Audit codebase for agentic layer coverage and identify gaps. Use when assessing agentic layer maturity, identifying investment opportunities, or evaluating primitive coverage.
npx skills add majiayu000/claude-skill-registry --skill agentic-layer-audit --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Agentic Layer Audit Skill Evaluate a codebase's agentic layer maturity and identify investment opportunities. ## When to Use - Assessing current agentic layer coverage - Identifying gaps in automation - Planning agentic layer investments - Measuring progress toward 50%+ agentic time ## Core Concept > "Am I working on the agentic layer or am I working on the application layer?" This skill helps answer that question by auditing what exists. ## Audit Checklist ### 1. Commands Directory Check for `.claude/commands/` or equivalent: ```markdown Look for: - chore.md # Chore planning template - bug.md # Bug fix template - feature.md # Feature planning template - implement.md # Implementation HOP - test.md # Test execution template - review.md # Review template ``` ### 2. Specs Directory Check for `specs/` or equivalent: ```markdown Look for: - Issue-based specs (issue-*.md) - Generated plans (chore-*.md, feature-*.md) - Deep specs (complex multi-file architectures) ``` ### 3. ADW Directory Check for `adws/` or equivalent: ```markdown Look for: - adw_modules/agent.py # Core agent execution - Gateway scripts (adw_prompt.py, adw_slash_command.py) - Composed workflows (adw_*_*.py) - Triggers
- When to Use
- Core Concept
- Audit Checklist
- 1. Commands Directory
- 2. Specs Directory
- 3. ADW Directory
- 4. Hooks Directory
- 5. Agent Output Directory
- 6. Worktree Support
- Coverage Scoring
- Key Memory References
- Output Format
- Anti-Patterns to Identify
- Version History
What does the agentic-layer-audit skill do?
Audit codebase for agentic layer coverage and identify gaps. Use when assessing agentic layer maturity, identifying investment opportunities, or evaluating primitive coverage.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill agentic-layer-audit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.