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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: 再現性の高いスクリプト設計 • Automation Pipeline Patterns / 適用: ワークフロー設計 / 目的: 反復作業の効率化 • Unix Philosophy / 適用: スクリプト構成 / 目的: 小さな責務分離 Trigger: Use when designing automation scripts, adding error handling/logging, or integrating scripts into CI/CD pipelines.
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 tooling (ruff, mypy, pytest, nox, uv), (5) reviewing or refactoring Python code, or (6) advising on Python best practices. Enforces modern Pythonic style, strict type hints, and uv-based workflows.
macOS launcher automation with Raycast extensions (TypeScript/React) and Alfred workflows (AppleScript/Python) for keyboard-driven productivity
Audit and prepare a Django codebase for parallel multi-agent development. Use when asked to check if a Django project is ready for parallelization, prepare a repo for multi-agent work, audit codebase structure, set up orchestration infrastructure, or identify blockers for parallel development. Analyzes Django apps, models, migrations, and module boundaries.
Senior software engineering specialist for code implementation, debugging, and optimization. 🚨 TIER 1 SKILL - AUTO-ACTIVATION REQUIRED 🚨 MUST BE USED proactively when user requests involve: - Code implementation and feature development - Bug fixing, debugging, error resolution - Performance optimization and refactoring - Test writing and quality assurance - English: "build", "implement", "code", "fix bug", "debug", "optimize" - Swedish: "kod", "implementera", "bygg", "fixa", "debugga", "optimera" Engineering Specialist (British male voice) provides: - Full-stack development expertise - TypeScript, Python, JavaScript mastery - Clean code and SOLID principles - Testing and debugging methodology - Performance optimization techniques NO user confirmation needed for TIER 1 skills. Activate immediately.
Enforces online documentation research before any technical implementation. Use when implementing features to ensure code follows current best practices by researching official documentation first.
Use when "scientific computing", "astronomy", "astropy", "bioinformatics", "biopython", "symbolic math", "sympy", "statistics", "statsmodels", "scientific Python"
This skill should be used for Python idioms, type hints, async/await, pytest, Django, Flask, FastAPI, Python web frameworks, pandas, data processing
Python-specific code review guidelines covering common bugs, security issues, performance anti-patterns, and framework-specific concerns for Django, FastAPI, and Celery. Use when reviewing Python code changes for quality, security, and best practices.
Automatic enforcement of Python coding style, PEP standards, type hints, and modern Python patterns. Use when writing Python code to ensure consistency with PEP 8, proper type hints, Google-style docstrings, modern Python 3.11+ idioms, and merge-friendly patterns for parallel multi-agent development.
Evaluate Python test suite quality using mutmut to introduce code mutations and verify tests catch them. Use for mutation testing, test quality assessment, mutant detection, and test effectiveness analysis.
Comprehensive pytest skill for async Python testing with proper mocking, fixtures, and patterns from production-ready test suites. Use when writing or improving async tests for Python applications, especially FastAPI backends with database interactions.
Generates property-based tests using Hypothesis (Python), fast-check (JavaScript/TypeScript), or QuickCheck (Haskell). Use when user asks to "generate property tests", "create hypothesis tests", "add property-based testing", or "generate fast-check tests".
Run and verify backend tests for the FastAPI/Python application.
Write and run tests for the python-bsblan library. Use this skill when creating unit tests, working with fixtures, or ensuring code coverage requirements are met.
Language-specific vulnerability detection patterns for JavaScript/TypeScript, Python, Go, Java, Ruby, and PHP. Provides regex patterns and grep commands for common security vulnerabilities.
Setup Sentry in Python apps. Use when asked to add Sentry to Python, install sentry-sdk, or configure error monitoring for Python applications, Django, Flask, FastAPI.
AlgoKit Utils library for interacting with the Algorand blockchain from TypeScript or Python applications. Use when connecting to Algorand networks (LocalNet, TestNet, MainNet), sending payments or transferring assets, creating and managing accounts, deploying or interacting with smart contracts from client code, or composing transaction groups. NOT for writing smart contract code (use build-smart-contracts skill). Strong triggers include "How do I connect to Algorand?", "send a payment transaction", "create an account", "deploy my contract", "get an AlgorandClient", "AlgorandClient.fromEnvironment".
