Explore skills

Complete code review workflow for both requesting and receiving reviews. Use when creating PRs, reviewing code, or responding to feedback.

Manage database schema changes with version control. Use when modifying DB schema, adding tables/columns, or setting up new projects. Covers Prisma, Drizzle, and migration best practices.

Enforce dependency security scanning and SBOM generation. Use when adding dependencies, reviewing package.json, or during security audits. Covers OWASP dependency check, npm audit, and supply chain security.

Use when facing 3+ independent failures that can be investigated without shared state or dependencies. Dispatches multiple Claude agents to investigate and fix independent problems concurrently.

Enforce proper error handling patterns. Use when writing async code, API calls, or user-facing features. Covers try-catch, error boundaries, graceful degradation, and user feedback.

Execute plan in batches with review checkpoints. Use when partner provides a complete implementation plan to execute with controlled batches and architect review between batches.

Complete Git workflow from conventional commits to pre-completion verification. Use for all Git operations including commits, branches, and releases.

Enforce file line count limits (200 recommended, 300 max) for CODE IMPLEMENTATION files only. Use this when reviewing code, creating files, or when files exceed line limits and need modularization.

Guide for creating MCP (Model Context Protocol) servers. Use this when building integrations with external services, creating new MCP servers, or connecting Claude to APIs.

Prevents 30+ critical AI/ML mistakes including data leakage, evaluation errors, training pitfalls, and deployment issues. Use when working with ML training, testing, model evaluation, or deployment.

Forbid hardcoded values in code. Use this when reviewing code, writing new features, or when magic numbers/strings are detected. Enforces constants, env variables, and config files.

Enforce Core Web Vitals optimization. Use when building user-facing features, reviewing performance, or when Lighthouse scores drop. Covers LCP, FID/INP, CLS, and optimization techniques.