Agent skill

quality-stack

Scan a project to detect configured quality and testing tools across JVM (Gradle/Maven), Android (AGP/Compose/KMP), Node.js/TypeScript, and Python ecosystems. Cross-reference against research-backed recommendations and assist with setup. Auto-detects project type(s) including monorepos with mixed ecosystems. Use when user asks to "audit tooling", "recommend tools", "quality stack", "what tools am I missing", "setup eslint", "setup detekt", "add coverage", "add ruff", "configure CI quality pipeline", "scan project tools", "tooling audit", "android tooling", "android quality", "compose testing", "kmp testing", or "screenshot testing".

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/quality-stack

SKILL.md

Quality Stack

Scan a project's build configuration across JVM, Android, Node.js, and Python ecosystems, cross-reference against curated research documents, and assist with tool setup.

Pre-flight

  1. Run the orchestrator — it auto-detects ecosystems:
    bash
    python3 <skill-path>/scripts/scan_project.py <project-root>
    
  2. If "error": "no_ecosystem_detected", check nearby_project_files for subproject paths.
  3. Monorepo? — use --recursive or --ecosystem to force a specific scanner:
    bash
    python3 <skill-path>/scripts/scan_project.py --recursive <project-root>
    python3 <skill-path>/scripts/scan_project.py --ecosystem node <project-root>
    
  4. Legacy (JVM only)scan_tooling.py still works as a backwards-compatible wrapper.

Two-Phase Workflow

Phase 1: Recommend

  1. Run the scanner on the project root (see Pre-flight above).

  2. Fetch research documents via WebFetch — only for detected ecosystems:

    Android (when ecosystems contains "android"):

    https://raw.githubusercontent.com/joaquimscosta/arkhe-claude-plugins/main/docs/research/android-ecosystem-tooling.md
    https://raw.githubusercontent.com/joaquimscosta/arkhe-claude-plugins/main/docs/research/android-testing-ecosystem.md
    

    JVM (when ecosystems contains "jvm"):

    https://raw.githubusercontent.com/joaquimscosta/arkhe-claude-plugins/main/docs/research/jvm-quality-tools-evaluation.md
    https://raw.githubusercontent.com/joaquimscosta/arkhe-claude-plugins/main/docs/research/kotlin-spring-boot-testing-ecosystem.md
    

    Node.js (when ecosystems contains "node"):

    https://raw.githubusercontent.com/joaquimscosta/arkhe-claude-plugins/main/docs/research/node-quality-tools-evaluation.md
    

    Python (when ecosystems contains "python"):

    https://raw.githubusercontent.com/joaquimscosta/arkhe-claude-plugins/main/docs/research/python-quality-tools-evaluation.md
    

    Cross-cutting (always):

    https://raw.githubusercontent.com/joaquimscosta/arkhe-claude-plugins/main/docs/research/cross-cutting-devtools-evaluation.md
    

    If WebFetch fails, warn the user and proceed using scanner results + LLM knowledge only.

  3. Cross-reference scanner output against research recommendations per ecosystem:

    • Identify tools recommended but missing from the project
    • Check status field: disabled or config-only tools need attention
    • Flag outdated or superseded tools
    • Apply ecosystem-specific SKIP rules (see WORKFLOW.md)
    • Review tool_config for threshold values and settings
  4. Generate the recommendation report using the format in WORKFLOW.md.

Phase 2: Setup

After presenting the report, present tools for selection using the multi-round protocol in WORKFLOW.md. Group by ecosystem and priority tier. Include effort estimates. After user completes selection across all rounds:

  1. Read the relevant research doc section for setup instructions
  2. Apply Setup Guards — resolve versions, check compatibility
  3. For each selected tool, apply changes per ecosystem:
    • JVM: Add Gradle/Maven plugin, test deps, config files
    • Node.js: pnpm add -D, tsconfig edits, config file creation
    • Python: uv add --dev, pyproject.toml edits, config file creation
    • Cross-cutting: CI/CD workflow steps, Lefthook config, EditorConfig
  4. Verify each tool after configuration — run the tool's check command, verify filter patterns against actual codebase paths, and check for config inheritance conflicts. See WORKFLOW.md Post-Setup Verification.
  5. Re-run the scanner to confirm all tools detected

Priority Classification

Priority Criteria
NOW Essential missing tools, zero-dependency additions
SOON High-value additions requiring minor setup
LATER Nice-to-have with prerequisites
SKIP Not applicable (wrong ecosystem, incompatible version, deprecated)

Ecosystem-aware rules — see WORKFLOW.md for full classification tables per ecosystem.

Key rules:

  • Android Compose project: NOW Compose UI testing, SOON Roborazzi; SKIP Espresso
  • Android KMP project: NOW commonTest setup, NOW Turbine; SOON Ktor MockEngine
  • Android no lint config: NOW Android Lint baseline; SOON custom lint rules
  • JVM Pure Kotlin: SKIP Error Prone, SpotBugs; JVM Pure Java: SKIP Detekt, ktlint, MockK
  • JVM Spring Boot 4+: SKIP REST Assured, NOW MockMvcTester
  • Node.js no linter: NOW ESLint; no formatter + no Biome: NOW Prettier
  • Node.js TypeScript not strict: NOW enable strict
  • Python no linter: NOW Ruff; no type checker + has type annotations: NOW mypy

Cross-Cutting Tools

Tool When to Recommend Priority
Lefthook No git hook manager + has linters SOON
commitlint No commit conventions + has team LATER
EditorConfig Missing .editorconfig NOW
Renovate/Dependabot No dependency automation SOON
Trivy/gitleaks No security scanning SOON

Research Documents

Fetch via WebFetch at runtime — only for detected ecosystems:

  • Android Ecosystem Tooling: android-ecosystem-tooling.md
  • Android Testing Ecosystem: android-testing-ecosystem.md
  • JVM Quality Tools: jvm-quality-tools-evaluation.md
  • JVM Testing Ecosystem: kotlin-spring-boot-testing-ecosystem.md
  • Node.js Quality Tools: node-quality-tools-evaluation.md
  • Python Quality Tools: python-quality-tools-evaluation.md
  • Cross-Cutting Tools: cross-cutting-devtools-evaluation.md

Scanner Architecture

scripts/
  scan_project.py          # Orchestrator — auto-detects + merges
  scan_jvm.py              # JVM scanner (Gradle/Maven)
  scan_android.py          # Android scanner (AGP/Compose/KMP)
  scan_node.py             # Node.js/TypeScript scanner
  scan_python.py           # Python scanner
  scan_cross_cutting.py    # Cross-cutting tools (CI, hooks, security)
  shared.py                # Shared utilities
  scan_tooling.py          # Legacy wrapper → scan_jvm.py

References

  • Workflow: See WORKFLOW.md for classification rules and report format
  • Examples: See EXAMPLES.md for realistic audit scenarios
  • Troubleshooting: See TROUBLESHOOTING.md for scanner issues

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