Browse published AI skills maintained by majesticlabs-dev. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
200Repository stars across indexed skills
4,009Repository forks
602Average repository stars per indexed skill
20Repository stars may repeat across skills from the same repository.
Wrap JSON-backed database columns with ActiveModel-like classes using store_model. Use when creating configuration objects, managing nested JSON attributes, or adding validations to JSON data. Triggers on JSON...
Create high-converting lead magnets that generate email subscribers. Supports checklists, templates, swipe files, mini-courses, and guides with landing page copy.
Query fan-out coverage for AI visibility. Covers semantic variation analysis and sub-question targeting.
This skill guides provisioning Hetzner Cloud infrastructure with OpenTofu/Terraform. Use when creating servers, networks, firewalls, load balancers, or volumes on Hetzner Cloud.
Build entity triplets and brand associations that LLMs recognize and cite consistently.
Modern Python 3.12+ development with uv, ruff, and production-ready practices. Routes to specialized skills for frameworks and testing.
Comprehensive testing strategies with Vitest, React Testing Library, and Jest. Use when writing tests for React components, hooks, and integration testing.
Identify the vital 20% of activities that produce 80% of results using real case studies and proven patterns. Use when optimizing business, learning, productivity, or any area where focus matters.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.