Loading...
Loading...
Found 2,133 Skills
Build health audit worker (L3). Checks compiler/linter errors, deprecation warnings, type errors, failed tests, build configuration issues. Returns findings with severity (Critical/High/Medium/Low), location, effort, and recommendations.
Security patterns for LLM integrations including prompt injection defense and hallucination prevention. Use when implementing context separation, validating LLM outputs, or protecting against prompt injection attacks.
Proactive quality guidance system that monitors artifact creation and provides real-time feedback on documentation quality
Use this tool to review, audit, or validate the quality and cross-platform/cross-agent compatibility of Claude Code skills. It is triggered by phrases such as "审查 skill", "review skill", "检查 skill 质量", "skill 兼容性检查", "review 兼容性"
Transform vague feature ideas into clear, testable requirements using EARS format. Capture user stories, define acceptance criteria, identify edge cases, and validate completeness before moving to design.
Enforces local testing before any deployment. MUST be used before running vercel, git push, or any deployment command. Prevents deploying untested code.
Map what we're optimizing and what constraints we treat as real. Use before jumping to solutions, when hitting repeated blockers, or when patches keep accumulating.
Use when creating customer stories that prove ROI, highlight use cases, and equip sales with proof.
Chinese Guide for Creating Effective Skills. This skill should be used when users want to create a new skill (or update an existing one) to extend AI capabilities, including specialized knowledge, workflows, or tool integrations. The generated new skills should be described in Chinese.
Guide users step-by-step through manually testing whatever is currently being worked on. Use when asked to "test this", "verify it works", "let's test", "manual testing", "QA this", "check if it works", or after implementing a feature that needs verification before proceeding.
Production-grade Docker containerization for Python and Node.js applications. This skill should be used when users ask to containerize applications, create Dockerfiles, dockerize projects, or set up Docker Compose. Auto-detects project structure, analyzes .env for secrets, validates security, and generates tested Dockerfiles.
Use when implementing features, refactors, or fixes that affect core functionality, configuration, infrastructure, or integrations. Ensures documentation stays accurate by updating README, operational guides, and reference docs, and verifying links/commands remain correct.