Browse Skills

Update Docs syncs website documentation with recent code changes, cross-validating every flag against source. Use it when asked to update documentation, document a new flag or command, fix stale docs, or update the README.

Accessibility provides web accessibility patterns for WCAG 2.2 compliance, including ARIA, keyboard navigation, screen readers, and testing.

AgentKit SEO routes broad or ambiguous digital-presence work to the right specialized module while keeping context scoped. Use it when a request spans LinkedIn, GitHub, CV/ATS, portfolio, or X/Twitter surfaces, or when the correct platform skill is unclear.

API Design Patterns provides guidelines for designing REST APIs, including resource naming, HTTP methods, status codes, pagination, versioning, and OpenAPI spec generation. Use it when building or reviewing API endpoints to ensure consistency and best practices.

Authentication Patterns provides reusable patterns for JWT access/refresh tokens, OAuth2 PKCE, and RBAC authorization. Use it when building or reviewing authentication and authorization flows to avoid common security anti-patterns.

AWS Cloud Patterns provides reusable patterns for building serverless applications with Lambda, DynamoDB, S3, and CDK/Terraform. Use it when designing infrastructure as code or implementing Lambda functions and DynamoDB single-table designs.

CI/CD Pipelines provides reusable CI/CD pipeline configurations for GitHub Actions and GitLab CI, covering testing strategies and deployment automation. Use it when setting up or refining build, test, and deploy workflows.

Claude Memory Kit provides persistent memory across Claude Code sessions, using a two-layer architecture with a hot cache and knowledge wiki. Use it to maintain context, prevent loss during compression, and capture end-of-day summaries.

Continuous Learning automatically extracts patterns from coding sessions, tracks corrections and successful approaches, and builds a reusable knowledge base with confidence scoring. Use it after sessions to retain hard-won coding lessons and avoid repeating mistakes.

Data Engineering provides patterns for ETL pipelines, data warehousing, Apache Spark, and data quality validation. Use it when building or maintaining data infrastructure.

Database Optimization provides query analysis, indexing strategies, and performance tuning for PostgreSQL and MySQL. Use it to diagnose slow queries, eliminate N+1 patterns, configure connection pooling, and partition large tables.

Deep Dive decomposes a research question into a DAG of sub-questions, runs independent subagents in parallel to research each node, performs one round of gap analysis, and synthesizes a cited report.