Skills correspondant au nom, à la description ou à l’auteur GitHub.
Creates a new GitHub issue with structured user story format, acceptance criteria, and project integration. Use when the user wants to create a ticket, issue, or task for the tradingstrategy-ai/frontend reposit...
Coordinates frontend development tasks (React, TypeScript, UI/UX). Use when implementing user interfaces, components, state management, or visual features. Applies frontend-standard.md for quality gates.
Detects multi-repo architecture from user prompts and guides setup. Activates for: multiple repos, 3 repos, frontend repo, backend repo, shared library repo, monorepo services, microservices, separate repos, FE...
Organize Grey Haven projects following standard structures for TanStack Start (frontend) and FastAPI (backend). Use when creating new projects, organizing files, or refactoring project layout.
Repository structure, build/test commands, coding style, and contribution rules for opal-frontend. Use when navigating the repo, running or debugging builds/lint/tests, following style conventions, or setting u...
Invoke Gemini for design/code review. PROACTIVE: (1) BEFORE proposing new features/architecture, (2) AFTER >100 lines or >3 files changed (before tests), (3) AFTER security/perf changes, (4) ON SESSION RESUME -...
Automatic project context detection with priority-based resolution (Manual setting → Git remote → Subdirectory pattern → Local path → Custom patterns). Auto-activates at start of every CCPM command to ensure co...
Analyze a specific directory (e.g. frontend/, backend/, e2e/) and generate .claude/rules/ markdown files for it. Use when asked to create rules, analyze a folder for Claude Code, or set up domain memory for a s...
Automatically process open GitHub bug reports by spawning subagents that use the frontend-debug skill to fix each issue in isolated branches. This skill should be used when the user wants to systematically addr...
Explore and understand repository patterns (monorepo, frontend, backend, microservices) to guide skill creation and tool selection decisions. Use when analyzing project structure, understanding complexity, or p...
Provides comprehensive project folder structure design guidelines and best practices. Defines standard directory organizations for diverse project types including monorepos, web frameworks, backend services, li...
Use this agent when you need to review code changes in a pull request or after writing/modifying code. The agent performs comprehensive code review following established team standards, categorizing findings as...
Guide feature-based directory structure and file placement. Apply when creating new files or organizing code. Enforce naming conventions and import ordering for backend and frontend files.
Creates GitHub issue with task checklist based on architecture documents (specs.md, frontend.md, backend.md). Run after reviewing the planning documents.
Perform an expert frontend code review directly from a GitHub Pull Request using gh CLI.
Standard project layout and Spec-Kit usage patterns for AI-driven, spec-driven monorepos that host frontend, backend, and specs in a single repository.
Standard project layout and Spec-Kit usage patterns for AI-driven, spec-driven monorepos that host frontend, backend, and specs in a single repository.
Centralized quality gate execution for backend, frontend, and fullstack projects. Use when running format, lint, typecheck, or tests. Auto-detects stack and runs appropriate commands. Does NOT commit - calling...
Expert code review for Java/Spring Boot and TypeScript/Next.js codebases. Performs multi-dimensional reviews covering correctness, security, testability, architecture, and maintainability. Automatically delegat...
Break down high-level plans into specific tasks with file paths, line numbers, and verification steps. Creates execution-ready implementation plans.
Coordinates frontend development tasks (React, TypeScript, UI/UX). Use when implementing user interfaces, components, state management, or visual features. Applies frontend-standard.md for quality gates.
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.