Découvrez les skills Bases de données, comparez leurs dépôts et consultez leurs instructions.
Generic product context template for creating product vision, goals, and constraints skills. Auto-invoke when user requests product skill creation, product context framework, or strategic alignment templates. D...
Updates the .claude-plugin/marketplace.json file when plugins are added, modified, or removed. Use when creating or updating plugin entries in the marketplace catalog.
Regenerates documentation files (agents.md, agent-skills.md, plugins.md, usage.md) from marketplace data using Jinja templates. Use when plugins are added, updated, or removed to keep documentation in sync.
Common GPUI patterns including component composition, state management strategies, event handling, and action dispatching. Use when user needs guidance on GPUI patterns, component design, or state management ap...
Architecture patterns for Rust UI applications including GPUI-specific patterns, code organization, modularity, and scalability. Use when user needs guidance on application architecture, code organization, or s...
Security best practices for Sinatra applications including input validation, CSRF protection, and authentication patterns. Use when hardening applications or conducting security reviews.
Generate Phoenix resources (contexts, schemas, LiveViews, controllers) using mix phx.gen.* commands with best practices. Use when creating new Phoenix resources, contexts, or LiveView components.
Example skill demonstrating progressive disclosure pattern
Create complete Phoenix contexts following best practices including bounded contexts, proper API design, and comprehensive testing. Use when designing new features or refactoring code into contexts.
Modern Go patterns, idioms, and best practices from Go 1.18+. Use when user needs guidance on idiomatic Go code, design patterns, or modern Go features like generics and workspaces.
Advanced concurrency patterns with goroutines, channels, context, and synchronization primitives. Use when working with concurrent Go code, implementing parallel processing, or debugging race conditions.
Network programming patterns with Hyper, Tonic, and Tower. Use when building HTTP services, gRPC applications, implementing middleware, connection pooling, or health checks.
Common Sinatra patterns, routing strategies, error handling, and application organization. Use when building Sinatra applications or designing routes.
Common Tokio patterns and idioms for async programming. Use when implementing worker pools, request-response patterns, pub/sub, timeouts, retries, or graceful shutdown.
Advanced concurrency patterns for Tokio including fan-out/fan-in, pipeline processing, rate limiting, and coordinated shutdown. Use when building high-concurrency async systems.
Modern Ruby idioms, design patterns, metaprogramming techniques, and best practices. Use when writing Ruby code or refactoring for clarity.
Safely remove intermediate files from completed research sessions while preserving important data
MANDATORY pre-check before ANY response - ensures you use applicable skills and follow best practices. Use this skill FIRST before responding to any Elixir/Phoenix request.
PROHIBITS placeholder code, default values that mask missing data, and silent failures. Enforces fail-fast with loud errors. Use when implementing ANY function or data structure.
Collaboratively build and refine paper screening rubrics through brainstorming, test-driven development, and iterative feedback
Testing and using skill-cli for progressive disclosure across platforms (CI/CD, Cursor, Windsurf, hot-swapping)
MANDATORY verification before claiming anything works. Run actual commands, read actual output, provide evidence. Use when claiming tests pass, build succeeds, or code works.
Git troubleshooting techniques including recovering lost commits, fixing merge conflicts, resolving detached HEAD, and diagnosing repository issues. Use when user encounters git errors or needs to recover from...
Complete Docker containerization patterns for development and production workflows
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.