发现 工具与集成 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Generate production-ready Python project skeletons with Astral UV package manager, Hatchling build backend with dynamic versioning, bump-my-version for semantic version management, and modern tooling (ruff, myp...
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design plann...
Master Anthropic's prompt engineering techniques to generate new prompts or improve existing ones using best practices for Claude AI models.
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth...
Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success c...
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queri...
Implement authentication and authorization with Better Auth - a framework-agnostic TypeScript authentication framework. Features include email/password authentication with verification, OAuth providers (Google,...
Use when user says "write tests first", "TDD", "test-driven", "tests before implementation", or when implementing a feature where verification is critical. Creates scratchpad, writes failing tests, then iterate...
Analyze Claude Code usage patterns to identify skill improvement opportunities
Git workflow management using Hug (enhanced Git replacement). Use for ALL Git operations. Triggers: commit, amend, staging, git status, git log, repo inspection, fixing commits. Use whenever Claude needs to: (1...
Expert-level Git repository investigation using Hug SCM tools for understanding code evolution, tracking down bugs, analyzing changes, and managing development workflows
Use before any creative work - creating features, building components, adding functionality, or modifying behavior
Use when reviewing test suites, after test runs pass, or when user asks about test quality
Use when completing tasks, implementing major features, or before merging
Meta-audit skill for spellbook development. Spawns parallel subagents to factcheck docs, optimize instructions, find token savings, and identify MCP candidates. Produces actionable report.
Use when starting feature work that needs isolation from current workspace or before executing implementation plans
Use when reading files or command output of unknown size to avoid blind truncation and context loss
Use when reviewing code changes, auditing new features, cleaning up PRs, or user says "find dead code", "find unused code", "check for unnecessary additions", "what can I remove".
Use when writing subagent prompts, skill instructions, or any high-stakes task requiring accuracy and truthfulness
Use before design phase to challenge assumptions and surface risks
Use when you have received code review feedback and need to process it. [DEPRECATED] Routes to code-review --feedback
Use when starting a session and wanting creative engagement, or when user says '/fun' or asks for a persona
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when mcp-language-server tools are available and you need semantic code intelligence for navigation, refactoring, or type analysis
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。