Agent skill

agentic-layer-assessment

Assess agentic layer maturity using the 12-grade classification system (Class 1-3). Use when evaluating codebase readiness, identifying next upgrade steps, or tracking progress toward the Codebase Singularity.

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill agentic-layer-assessment --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Allowed tools: ReadGrepGlob
Path: skills/analysis/agentic-layer-assessment/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Agentic Layer Assessment Assess agentic layer maturity using the complete 12-grade classification system from TAC Lesson 14. ## When to Use - Evaluating current agentic layer maturity - Identifying the next grade to achieve - Tracking progress toward Codebase Singularity - Onboarding new team members to agentic patterns - Planning agentic infrastructure investments ## Prerequisites - Access to the codebase's `.claude/` directory - Understanding of @adw-framework.md classification system ## The Classification System Three classes with 12 total grades: ### Class 1: Foundation (In-Loop Agentic Coding) | Grade | Component | Indicator | | --- | --- | --- | | 1 | Memory Files | CLAUDE.md exists with guidance | | 2 | Sub-Agents | Task agents used for parallelization | | 3 | Skills/MCPs | Custom skills or MCP integrations | | 4 | Closed-Loops | Self-validating prompts | | 5 | Templates | Bug/feature/chore classification | | 6 | Prompt Chains | Multi-step composite workflows | | 7 | Agent Experts | Expertise files with self-improve | ### Class 2: External Integration (Out-Loop Agentic Coding) | Grade | Component | Indicator | | --- | --- | --- | | 1 | Webhooks | External triggers (PITER f

What's inside
Steps it walks through
  1. When to Use
  2. Prerequisites
  3. The Classification System
  4. Class 1: Foundation (In-Loop Agentic Coding)
  5. Class 2: External Integration (Out-Loop Agentic Coding)
  6. Class 3: Production Orchestration (Orchestrated Agentic Coding)
  7. Assessment Process
  8. Step 1: Scan Codebase
  9. Step 2: Score Each Grade
  10. Step 3: Calculate Current Level
  11. Step 4: Identify Next Step
  12. Output Format
  13. Assessment Checklist
  14. Key Insight
Ships with 1 file
  • metadata.json
Commands it runs
Grade 1: Memory files
ls .claude/ CLAUDE.md
Grade 2: Sub-agents
ls .claude/agents/
Grade 3: Skills
ls .claude/skills/ || ls -d */skills/ 2>/dev/null
Grade 4: Closed-loop patterns
grep -r "validation" .claude/commands/
grep -r "retry" .claude/commands/
Grade 5: Templates
More from claude-skill-registry
All skills →
About this skill
What does the agentic-layer-assessment skill do?

Assess agentic layer maturity using the 12-grade classification system (Class 1-3). Use when evaluating codebase readiness, identifying next upgrade steps, or tracking progress toward the Codebase Singularity.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill agentic-layer-assessment --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.

Keep going