Testing Standards
Write tests following 3-layer pyramid (unit 95%, integration 85%, E2E critical paths) with 1:1 file mapping for unit tests. Covers test organization, coverage requirements, fixtures, and best practices. Use when writing tests, checking coverage, or validating test structure.
Vulnerability Triage & Prioritization
Assess vulnerability severity using CVSS scoring, classify vulnerability types (CVE vs compliance), detect false positives, and prioritize remediation workflows. Use when analyzing vulnerability data, calculating risk scores, or determining remediation priority.
Agent Prompting & Delegation
Best practices for writing effective Task tool prompts that produce clear, structured outputs from sub-agents. Covers context engineering, instruction clarity, output format specification, and parallel delegation patterns. MUST BE USED PROACTIVELY when spawning sub-agents to ensure high-quality results.
AI Documentation Standards
Write AI-readable documentation following concise-over-comprehensive principle, hierarchical CLAUDE.md/AGENTS.md inheritance (100-200 line rule), structured formats (tables over prose), parallel validation, and session knowledge capture. Use when writing documentation, updating docs, or optimizing existing docs.
api-design-patterns
REST API design patterns including versioning strategies (URL, header, content negotiation), pagination (offset, cursor, keyset), filtering and sorting, error response formats (RFC 7807), authentication (JWT, OAuth 2.0, API keys), rate limiting, and OpenAPI specification. Use when designing APIs, documenting endpoints, implementing authentication, standardizing error responses, or reviewing API implementations.
async-python
Python async/await patterns with asyncio, concurrent.futures, threading, and multiprocessing. Covers async context managers, timeouts, cancellation, common pitfalls (blocking in async, missing await, event loop issues), and choosing between async/threading/multiprocessing. Use when writing async code, debugging async issues, choosing concurrency approaches, or testing async functions.
ci-cd-pipelines
GitLab CI/CD pipeline patterns including testing stages, Docker builds, caching strategies, secrets management, deployment patterns (blue-green, canary, rolling), and rollback procedures. Use when creating .gitlab-ci.yml, optimizing CI performance, setting up deployment pipelines, or troubleshooting CI failures.
Code Refactoring Patterns
When and how to refactor complex functions including complexity thresholds (50+ statements, 12+ branches), extraction patterns, guard clauses, and testing strategies. Use when ruff/pylint complexity warnings appear or code becomes hard to maintain.
code-review-patterns
Code review best practices including review checklists (functionality, tests, documentation, security, performance), providing constructive feedback, automated checks integration, and handling review comments. Use when reviewing pull requests, providing code feedback, responding to review comments, or setting up review processes.
database-design-patterns
Database schema design including normalization, denormalization, indexes, migrations, foreign keys, constraints, and query optimization. Covers PostgreSQL, MySQL, and general SQL patterns. Use when designing database schemas, optimizing queries, setting up migrations, or debugging performance issues.
debugging-strategies
Systematic debugging including root-cause tracing (trace backward through call stack), reproduction strategies, pdb/debugpy usage, logging analysis, binary search debugging, and error pattern recognition. Use when debugging errors, tracing bugs through call stacks, investigating production issues, or reproducing intermittent bugs.
docker-optimization
Optimize Docker images for Python applications including multi-stage builds (70%+ size reduction), security scanning with Trivy, layer caching, and distroless base images. Use when creating Dockerfiles, reducing image size, improving build performance, or scanning for vulnerabilities.
frontend-patterns
Frontend development patterns for React, Vue, and TypeScript including component composition, state management (Redux, Zustand, Pinia), hooks patterns, performance optimization, testing with Jest/Vitest, and build tools (Vite, webpack). Use when building frontend applications, optimizing performance, managing state, or setting up testing.
git-workflows
Advanced Git workflows including interactive rebase, bisect, worktrees, branch strategies, conflict resolution, cherry-picking, and submodules. Use when doing complex git operations, cleaning up commit history, managing multiple branches, investigating bugs with git bisect, or working on parallel features with worktrees.
kubernetes-patterns
Kubernetes deployment patterns including Deployments, Services, Ingress, ConfigMaps, Secrets, resource management, health checks, and horizontal pod autoscaling. Covers kubectl commands, YAML manifests, and GitOps workflows. Use when deploying to Kubernetes, managing containers, setting up services, or troubleshooting pod issues.
MCP Integration
Set up and use MCP (Model Context Protocol) servers to extend Claude Code capabilities including PRISM semantic memory, filesystem access, and database integration. Use when setting up MCP servers, debugging MCP connections, or understanding MCP tool usage.
MongoDB Aggregation Pipeline Optimization
General MongoDB aggregation pipeline optimization techniques including early filtering, index usage, array operators vs $unwind, $lookup optimization, and performance debugging. Use when writing aggregation queries for ANY MongoDB project, debugging slow pipelines, or analyzing query performance. For M32RIMM-specific patterns, use mongodb-m32rimm-patterns skill.
mutation-testing
Validate test suite quality using mutation testing with mutmut or cosmic-ray to detect weak tests, calculate mutation scores, and improve test coverage. Use when validating test effectiveness, achieving high test quality, or detecting tests that pass but don't validate behavior.
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