Skills matching the name, description or GitHub author.
Python project workflow and standards using Astral uv for environments/dependencies, ty for type checking, typer for CLI, ruff for lint/format, pytest and pytest-cov for tests/coverage, and loguru for logging....
Master interactive dashboard and application development with Panel and Param. Use this skill when building custom web applications with Python, creating reactive component-based UIs, handling file uploads and...
DevOps scripting with Bash, Python, and Go for automation, tooling, and infrastructure management
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python d...
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking oper...
Advanced Python Scheduler - Task scheduling and job queue system
Advanced Python Scheduler - Task scheduling and job queue system
Manage Python projects and dependencies using UV, the ultra-fast Rust-based package manager. Use when creating Python projects, managing dependencies, or running Python scripts.
Set up GitHub Actions workflows for CI/CD with automated testing, linting, and deployment for Python/UV projects. Use when creating CI pipelines, automating tests, or setting up deployment workflows.
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...
Scaffolds a new Python tool utility in 'src/tools/' for agents to call. Tools are utility functions (web scraping, PDF parsing, database queries) that agents use. Use when creating utilities that agents depend...
Collaborate with users running pdit, an interactive Python editor with inline execution results. Use when user mentions pdit, runs 'uv run pdit', or is doing collaborative Python development where they see live...
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...
Expert guide for creating Airalogy Protocols (AIMD), Assigners (Python logic), and Validation Models. Use this to design digital workflows and experiments.
Python patterns for backend development, testing, and async programming. Use when writing Python code.
Analyze codebases and generate Claude Code automation infrastructure including commands, scripts, and templates for systematic task execution. Use when the user wants to create reusable automation workflows, ge...
Skill for auto-detecting project type and executing builds. Suggests builds after code changes, proposes fixes for build errors. Supports Node.js, Rust, Python, Go, and Makefile projects.
繰り返し作業の自動化スクリプト生成スキル。Shell、Python、PowerShell、Node.jsスクリプトを生成。ファイル操作、データ処理、API連携、CI/CD、バックアップ、監視、レポート生成を自動化。
Use when writing async code, using asyncio.gather, handling concurrent operations. Triggers on "asyncio", "async", "await", "gather", "concurrent", "parallel", "fail-fast", "timeout", "race condition", "cancell...
自动化流程与脚本专家，擅长使用 Python, PowerShell, Shell 及各类工具实现任务自动化。
Executes HEC-HMS simulations using HmsCmdr.compute_run(), handles parallel execution across multiple runs, and manages Jython script generation. Use when running HMS simulations, executing runs, computing model...
當要開發或修改 Python 程式碼時使用。
Manages Python environments, dependencies, and tools using uv and ruff. PROACTIVELY Use when setting up Python projects, adding dependencies, managing virtual environments, or enforcing code quality standards....
Bootstrap Python projects with virtual environments and modern tooling. Use when creating Python applications, scripts, APIs, data science projects, or when the user wants a properly configured Python developme...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.