Skills matching the name, description or GitHub author.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Compact Python style guide. Key conventions for clean, typed, documented code.
Compact Snakemake workflow patterns. Keep rules short, complex logic in Python modules.
Python interface to the B-Fabric laboratory information management system. Use when working with B-Fabric API for CRUD operations on samples, datasets, workunits, resources, or building B-Fabric applications an...
Expert guidance for turning existing Snakemake analysis projects (with Snakefile + src/) into pip-installable CLI tools that can deploy the workflow to new projects. Use when the user has a working analysis pro...
Comprehensive Python programming guidelines based on Google's Python Style Guide. Use when Claude needs to write Python code, review Python code for style issues, refactor Python code, or provide Python program...
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
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...
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...
Universal error handling, exception management, and logging best practices for all development agents across JavaScript/TypeScript, Python, Rust, Go, and Java. Use when implementing error handling, exception ma...
Structural code pattern search and refactoring using ast-grep (sg). Use for finding functions, classes, methods, imports, or any code structure patterns. Supports syntax-aware analysis across multiple languages...
Fast Python type checking with ty (by Astral). Use when checking Python types, running type checks in CI, or setting up type checking for Python projects. Triggers on "type check", "ty check", "python types", o...
Decision guide for code navigation. Teaches when to use gabb tools vs default tools (Grep/Read) for maximum efficiency. Applies to Python/TypeScript/Rust/Kotlin/C++.
Check and validate the AutoChip development environment dependencies including chip simulators (Verilator/VCS/SimVision) and Python packages (torchbit, cocotb, jsonschema) in conda environments
Get detailed metadata for Python packages from PyPI including versions, release information, dependencies, and project URLs. Use when the user asks for package information, Python package details, release histo...
Execute Python code in a secure sandbox
Remote control tmux sessions for interactive CLIs (python, gdb, etc.) by sending keystrokes and scraping pane output. Use when debugging applications, running interactive REPLs (Python, gdb, ipdb, psql, mysql,...
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Guide for using ruff, the extremely fast Python linter and formatter. Use this when linting, formatting, or fixing Python code.
Guide for using ty, the extremely fast Python type checker and language server. Use this when type checking Python code or setting up type checking in Python projects.
Guide for using uv, the Python package and project manager. Use this when working with Python projects, scripts, packages, or tools.
This skill should be used when the user asks about "creating a new ADK project", "initializing ADK", "setting up Google ADK", "adk create command", "ADK project structure", "YAML agent configuration", "creating...
Initialize a new Python repository with correct structure following RAE guidelines
Best practices for async Python code, avoiding common pitfalls like await precedence bugs and sync-in-async anti-patterns.
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