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Found 3,721 Skills
Wiring Verification
Tests join primitive (INNER JOIN)
Build, test, and manage Xcode projects and Swift packages. Use when the user mentions Xcode, iOS/macOS app development, simulators, Swift packages, or needs to build/test Apple platform apps. Triggers on "build", "run", "test", "simulator", "xcodebuild", "swift package", "iOS app", "macOS app".
8-agent QA loop: browser exploration via Playwright MCP, then analyze, plan, test, audit, heal, expand, snapshot. Quality gate score >= 85 to pass.
Use this for writing end-to-end (E2E) tests that simulate real user interactions in browsers (Playwright, Cypress, Selenium).
Complete workflow for developing new features from design to deployment. Use when starting a new feature, adding functionality, or building something new.
Comprehensive Python engineering guidelines for writing production-quality Python code. This skill should be used when writing Python code, performing Python code reviews, working with Python tools (uv, ruff, mypy, pytest), or answering questions about Python best practices and patterns. Applies to CLI tools, AI agents (langgraph), and general Python development.
Minimal voice design TTS smoke test for Model Studio Qwen TTS VD.
Generate a complete Model Context Protocol server project in Swift using the official MCP Swift SDK package.
Seed test databases with pgsql-test using loadJson, loadSql, and loadCsv. Use when asked to "seed test data", "load fixtures", "populate test database", or when setting up test data for database tests.
Document undocumented public APIs in PyTorch by removing functions from coverage_ignore_functions and coverage_ignore_classes in docs/source/conf.py, running Sphinx coverage, and adding the appropriate autodoc directives to the correct .md or .rst doc files. Use when a user asks to remove functions from conf.py ignore lists.
Add custom local tools to ToolUniverse and use them alongside the 1000+ built-in tools. Use this skill when a user wants to: create their own tool for a private or custom API, add a local tool to their workspace, integrate an internal service with ToolUniverse, or use a custom tool via the MCP server or Python API. Covers both the JSON config approach (easiest, no Python needed) and the Python class approach (full control). Also covers how to verify tools loaded correctly and how to call them. Also covers the plugin package approach for reusable, shareable, pip-installable tool sets.