Loading...
Loading...
Found 1,588 Skills
Create and improve README documents for GitHub projects. Use when the user wants to write a new README, improve an existing one, audit README quality, or asks about documentation best practices for their repository.
Creates well-structured Agent Skills following best practices. Use when building new skills for Claude Code, designing skill directory structures, writing SKILL.md files, or improving existing skills with progressive disclosure patterns.
Detects framework-specific anti-patterns, convention violations, and idiom misuse across PHP/Laravel, React/Next.js, and Python/Django/FastAPI codebases. Loads framework-specific reference guides and checks against framework conventions. Generates severity-scored findings with copy-pasteable fix prompts. Trigger phrases: "framework review", "framework check", "laravel best practices", "react best practices", "framework audit", "framework-specific review".
Enforce the no-useEffect rule when writing or reviewing React code. ACTIVATE when writing React components, refactoring existing useEffect calls, reviewing PRs with useEffect, or when an agent adds useEffect "just in case." Provides the five replacement patterns and the useMountEffect escape hatch.
Generate ultra-compact commit messages. Follows the Conventional Commits format with subject ≤50 characters, prioritizing "why" over "what". Supports both Japanese and English. Trigger with "Make a commit message", "/commit", or "/genshijin-commit". Auto-trigger candidate when staging changes.
Enforce C++ coding standards including camelCase or snake_case variables, PascalCase classes, and consistent file naming.
Master end-to-end testing to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or establishing testing standards.
Deep dive into LookML includes, refinements (layering), and project structure best practices. Essential for mastering Looker's object-oriented capabilities.
Comprehensive container image security scanning and remediation. Analyzes Docker images for OS package vulnerabilities, application dependencies, and Dockerfile best practices. Use when: - User asks to scan a Docker image or container - User mentions "container security" or "image vulnerabilities" - User wants to secure a Dockerfile - User asks about base image security - Agent is working with Docker, Kubernetes, or container deployments
Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, asks for test-first development, or wants stronger integration tests.
Biome formatting, import style, strict TypeScript, naming (including React file names), or generated files.
Use when writing or editing a system prompt for any LLM API or SDK (any code passing a `system=` / `system` role parameter, or a `.txt`/`.md` file holding such a prompt). Applies prompt-engineering and prompt-caching best practices.