Total 42,038 skills
Showing 12 of 42038 skills
Create a structured problem statement document for a feature, bugfix, or project. Use when starting a project, adding a feature, or fixing a bug and you need to clearly define the problem, context, desired outcome, and success criteria. Accepts input from Jira tickets (via MCP), document links, or text descriptions.
Multi-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Launches up to 10 parallel research agents for fast results. USE WHEN user says 'do research', 'research X', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.
사용자 관점에서 제품 요구사항을 정의할 때 INVEST 원칙을 따르는 포괄적인 유저스토리를 작성합니다.
Create standardized git commits using Conventional Commits with Gitmoji. Use when the user asks to commit changes, create a commit, or says "/commit". Analyzes staged/unstaged diffs and generates semantic commit messages with emoji prefixes.
React 19 patterns including Server Components, Actions, Suspense, hooks, and component composition
Generate git commits following Conventional Commits (commitlint). Use when user wants to commit changes.
Best practices for using Prisma ORM with Remix and Shopify (2025-2026 Edition). Covers schema design, migrations, and performance.
A clear description of what this skill does and when Claude should use it. Include trigger phrases like "when asked to...", "use when...", or specific keywords that should activate this skill.
Base project initialization that other commands can extend for language-specific setup
Set up serverless Postgres with Neon or Vercel Postgres for Cloudflare Workers/Edge. Includes connection pooling, git-like branching, and Drizzle ORM integration. Use when: setting up edge Postgres, troubleshooting "TCP not supported", connection pool exhausted, SSL config errors, or Node v20 transaction issues.
Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving.
Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum hardware (IBM, Amazon Braket, Google, Rigetti, IonQ, etc.). Use when working with quantum circuits, variational quantum algorithms (VQE, QAOA), quantum neural networks, hybrid quantum-classical models, molecular simulations, quantum chemistry calculations, or any quantum computing tasks requiring gradient-based optimization, hardware-agnostic programming, or quantum machine learning workflows.