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Found 70 Skills
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
Validate completed implementation against plan tasks and acceptance criteria. Use when: (1) Implementation is complete, (2) User wants validation before merging/shipping, (3) Quality gate check needed after implementation. Reviews ALL plan tasks for implementation correctness, test adequacy, and code quality. Produces structured feedback (approve, request changes, or comments) - does NOT fix code.
QCSD Verification phase swarm for CI/CD pipeline quality gates using regression analysis, flaky test detection, quality gate enforcement, and deployment readiness assessment. Consumes Development outputs (SHIP/CONDITIONAL/HOLD decisions, quality metrics) and produces signals for Production monitoring.
Core engineering principles for sustainable, maintainable code. No shortcuts, no hacks. Quality gates before completion.
Evidence-based test debugging enforcing systematic root cause analysis. Use when tests are failing, pytest errors occur, test suite not passing, debugging test failures, or fixing broken tests. Prevents assumption-based fixes by enforcing proper diagnostic sequence. Works with Python (.py), JavaScript/TypeScript (.js/.ts), Go, Rust test files. Supports pytest, jest, vitest, mocha, go test, cargo test, and other frameworks.
Quality review skill for verifying complex changes against criteria. Use for multi-file changes, new features, or before important commits. Skip for trivial fixes and quick iterations.
Claude Skills meta-skill: extract domain material (docs/APIs/code/specs) into a reusable Skill (SKILL.md + references/scripts/assets), and refactor existing Skills for clarity, activation reliability, and quality gates.
Use when coordinating software development projects requiring multiple specialists (architect, developers, mathematician, statistician, notebook-writer) with quality gates for archival setup, requirements, architecture, pre-mortem, code review, testing, and version control integration.
Code quality gatekeeper and auditor. Enforces strict quality gates, resolves the AI verification gap, and evaluates codebases across 12 critical dimensions with evidence-based scoring. Use when auditing code quality, reviewing AI-generated code, scoring codebases against industry standards, or enforcing pre-commit quality gates. Use for quality audit, code review, codebase evaluation, security assessment, technical debt analysis.
Senior code review pass. Use PROACTIVELY as the FINAL task after code changes. Reviews against project rules, fixes issues, runs quality gates. Focuses on logic and architecture while delegating style to automation.
Comprehensive verification with parallel test agents. Use when verifying implementations or validating changes.
Agent skill for sparc-coordinator - invoke with $agent-sparc-coordinator