Find the perfect skill

Development

Guides users through creating high-quality Claude Code skills. Provides step-by-step instructions for defining requirements, structuring skill files, and writing effective SKILL.md metadata. Ideal when adding custom slash commands or automating workflows.

Development

Load when task involves dbt model versioning, creating v2 of a model, or backward-compatible model changes. Covers versions YAML config, defined_in, latest_version, and ref() with version pins.

Documentation

Reads broken links file, triages each link to a fix strategy, and opens an auditable PR.

Content

Skill providing knowledge about the Bhagavad Gita.

Development

Lint and auto-fix JavaScript, CSS, and PHP files to enforce coding standards (ESLint, Stylelint, WPCS). Run before committing to ensure code quality and compliance.

Documentation

Creates comprehensive API documentation using OpenAPI 3.1 standards and modern developer experience practices. Helps build interactive documentation portals, generate SDKs from specs, and improve API onboarding. Best used when developing or updating API specifications, building developer portals, or generating code examples.

DevOps

Provides systematic strategies to reduce cloud spending by rightsizing resources, employing cost allocation tags, and leveraging reserved instances or savings plans across AWS, Azure, and GCP. Ideal for cloud cost management, budget control, and multi-cloud optimization.

Development

Create a workspace directory with Git repo copies and an independent .planning/ directory for isolated GSD sessions.

Productivity

Production-ready skill generator based on Anthropic best practices. Automatically creates well-structured skills with progressive disclosure, token optimization, and validation.

Development

Walks through complete RevenueCat app setup for iOS or Android: creating the app, configuring store credentials (App Store Connect or Google Play Console), setting up products, and getting the API key. Use when integrating a new app with RevenueCat for the first time.

Data & AI

Football analysis and lottery prediction using a weighted model (motivation 40%, odds 35%, history 25%). Outputs recommendations with confidence levels.

Data & AI

Provides guidance on tuning vector indexes for latency, recall, and memory trade-offs, including HNSW parameter adjustments, quantization selection, and scaling to billions of vectors. Use when balancing search speed against accuracy or optimizing memory usage in production vector search systems.