GitHub
screenshot-eval
Evaluate browser screenshots and page state for errors. Use when verifying features work correctly, detecting error conditions, or validating UI state during browser testing.
Skills IA Tests et sécurité
Découvrez les skills Tests et sécurité, comparez leurs dépôts et consultez leurs instructions.
Catégories: Tests et sécurité
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Explorer
GitHub
dual-frontend-architecture
Dual-frontend architecture with Astro SSG for static pages and Jinja2/HTMX for dynamic pages. Both coexist intentionally.
GitHub
docker-infra
Docker and Docker Compose configuration and troubleshooting. Use for containers, services, volumes, networking, health checks, and deployment patterns.
GitHub
playwright
Playwright browser automation and E2E testing. Use for browser testing, screenshots, debugging, MCP tools, page objects, and visual verification.
GitHub
skill-writer
Create and maintain well-structured Claude Code skills. Use when creating, updating, or improving skills in .claude/skills/.
GitHub
worktree-cli
Git worktree management with worktree.py CLI. Use for creating worktrees, teardown, merging PRs, syncing branches, and Docker service management.
GitHub
foundry-pr
AI-powered PR creation after spec completion. Analyzes spec metadata, git diffs, commit history, and journal entries to generate comprehensive PR descriptions with user approval before creation.
GitHub
foundry-spec
Spec-first development methodology that creates detailed specifications before coding. Creates structured specs with phases, file-level details, and verification steps. Includes automatic AI review, modificatio...
GitHub
foundry-note
Fast-capture intake queue for ideas and follow-up tasks. Add items quickly, list pending items, or dismiss resolved ones.
GitHub
foundry-test
Systematic test debugging with 5-phase investigation workflow. Use when debugging test failures, investigating complex errors, or when AI consultation would help. Uses native test commands with optional AI cons...
GitHub
foundry-refactor
Safe refactoring operations using LSP for precise symbol resolution. Supports rename, extract function/method, and move symbol operations with automatic reference updates.
GitHub
foundry-review
Review implementation fidelity against specifications by comparing actual code to spec requirements. Identifies deviations, assesses impact, and generates compliance reports for tasks, phases, or entire specs.
GitHub
foundry-setup
First-time setup for the foundry plugin (plugin:foundry@claude-foundry)
GitHub
foundry-research
AI-powered research skill with five workflows - chat (single-model conversation), consensus (multi-model synthesis), thinkdeep (systematic investigation), ideate (creative brainstorming), and deep (multi-phase...
GitHub
foundry-implement
Task implementation skill for spec-driven workflows. Reads specifications, identifies next actionable tasks, and creates detailed execution plans. Use when ready to implement a task from an existing spec - brid...
GitHub
brand-identity
Provides the single source of truth for SpecsVibeCode brand guidelines, design tokens, technology choices, and voice/tone. Use this skill whenever generating UI components, styling applications, writing copy, o...
GitHub
rails-developer
Description of what the skill does and when to use it
GitHub
react
React/Next.js best practices for modern, performant applications.
GitHub
reviewing-code
Code review workflow for evaluating changes against standards. Use when reviewing pull requests, commits, or diffs.
GitHub
typescript
TypeScript/JavaScript standards for type-safe, maintainable code.
GitHub
writing
Clear writing standards based on Zinsser's principles. Use for documentation, commit messages, PR descriptions, and technical communication.
GitHub
software-engineering
Core engineering principles for quality, maintainable code.
GitHub
refactor
TDD의 Refactor 단계 전용 스킬. 테스트가 통과하는 상태를 유지하면서 코드 품질을 개선합니다. 중복 제거, 명확성 향상, 성능 최적화에 사용.
GitHub
infra-tdd
JpaEntity, Adapter, Repository 클래스를 구현할 때 반드시 사용. 인프라 계층 구현 시 TDD(Red-Green-Refactor) 방식으로 진행. "JpaEntity 구현", "Adapter 구현", "Repository 구현", "영속성 계층" 작업 시 자동 발동.
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.