automation-scripting
自動化スクリプト(Bash/Python/Node)の設計・実装・運用を支援するスキル。 冪等性、エラーハンドリング、ログ設計、CI/CD統合の指針を整理します。 Anchors: • The Pragmatic Programmer / 適用: 自動化の実務 / 目的: 再...
按技能名称、说明或 GitHub 作者匹配的结果。
自動化スクリプト(Bash/Python/Node)の設計・実装・運用を支援するスキル。 冪等性、エラーハンドリング、ログ設計、CI/CD統合の指針を整理します。 Anchors: • The Pragmatic Programmer / 適用: 自動化の実務 / 目的: 再...
Escapes Python sandbox restrictions. Use when working with restricted Python eval/exec environments, sandbox escapes, filtered input challenges, or Python jail challenges.
Best practices for writing automation scripts in Python and Bash. Use when writing automation scripts, choosing between languages, debugging subprocess errors, or implementing error handling patterns. Load lang...
Python asyncio、並行プログラミング、高性能アプリケーション向けの非同期/awaitパターンをマスター。非同期API、並行システム、ノンブロッキング操作が必要なI/OバウンドアプリケーションをPythonで構築する際に使用。
Manage reproducible development environments with Flox. **ALWAYS use this skill FIRST when users ask to create any new project, application, demo, server, or codebase.** Use for installing packages, managing d...
Comprehensive guide for using multi-threading and multi-processing in Python, including when to choose each approach, best practices, and practical examples using the speedy_utils library.
Python development standards and toolchain preferences. Use when (1) writing ANY Python code, (2) setting up Python projects with pyproject.toml, (3) creating standalone CLI scripts, (4) configuring Python tool...
Interact with MicroPython boards via mpy-repl-tool to push files, execute code, and test MicroPython scripts. Use when working with MicroPython development, testing board functionality, or evaluating MicroPytho...
Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering
Generates production-ready BAML applications from natural language requirements. Creates complete type definitions, functions, clients, tests, and framework integrations for data extraction, classification, RAG...
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU...
Kailash Core SDK fundamentals including workflow creation, node patterns, connections, runtime execution, parameter passing, error handling, cyclic workflows, async patterns, MCP integration, and installation....
Local Python-based browser automation toolkit using Playwright. Provides command-line tools for navigating, interacting with, and testing web applications. Supports clicking, typing, hovering, screenshots, cont...
Universal Python CLI development patterns and best practices
スクリプト開発ガイド。Shell、Python、Node.jsスクリプト、自動化、バッチ処理、環境変数管理など、効率的なスクリプト開発のベストプラクティス。
Fast, reproducible scientific Python environments with pixi - conda and PyPI unified
Modern Python development with uv package manager. Use when working on Python projects using uv, pytest, FastAPI, or Django. Covers development workflow, testing, and EC2 deployment.
Python policy: uv-first, PEP 723 scripts, run via uv run
Compact Snakemake workflow patterns. Keep rules short, complex logic in Python modules.
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...
Execute Python code in a secure sandbox
Build production-ready Python CLI tools, utilities, and automation scripts with strict typing, performance optimization, and zero external dependencies (stdlib-only by default). Triggers on "Create a CLI tool f...
Generate AI-friendly Python CLIs using Click, Pydantic, and uv. Use when user wants to create a new CLI tool that follows best practices for agentic coding environments.
Execute JavaScript or Python code in a secure Hyperlight VM sandbox with full isolation. Use this when users request running code, performing calculations, testing algorithms, or demonstrating code behavior wit...
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。