腳本程式

Advanced Python Scheduler - Task scheduling and job queue system

Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.

This skill should be used when creating custom subagents for Claude Code, configuring specialized AI assistants, or when the user asks about agent creation, agent configuration, or delegating tasks to subagents. Covers both file-based agents and Task tool invocation.

This skill should be used for Pharo Smalltalk development tasks including:

Comprehensive code review checklist covering readability, maintainability, performance, security, and best practices. Use when reviewing code or conducting quality checks.This skill provides systematic code review guidance:- Language-specific best practices (JavaScript, Python, Java, etc.)- Security checklist (OWASP Top 10)- Performance optimization points- Maintainability and readability checks- Automated review integration (Codex CLI MCP)Triggers: "code review", "review checklist", "quality check", "check code", "コードレビュー", "品質チェック", "レビュー観点"

Automate F5 Distributed Cloud web console operations through browser automation using mcp__claude-in-chrome MCP tools. Handles multi-provider authentication (Azure SSO, Google, Okta, SAML, native username/password), detecting session expiry and navigating login flows. Warns when VPN is required. Use when creating HTTP/TCP load balancers, origin pools, WAF policies, deploying cloud sites (AWS/Azure/GCP), managing DNS zones, configuring service policies, or executing any F5 XC GUI-based tasks. Triggers on: F5 XC console, GUI automation, browser automation, login, SSO, authenticate, tenant management, visual configuration, Web App and API Protection, WAAP.

Systematically retrieve and address PR code review comments using make pr-comments. Enforces DDD architecture, code organization principles, and quality standards. Use when handling code review feedback, refactoring based on reviewer suggestions, or addressing PR comments.

WCM tech stack - Python, pandas, Stata, clinical data

Intelligently analyze code changes and split them into multiple logical commits based on functionality and change types. This skill should be used when users want to commit code changes, especially when there are multiple unrelated changes in the working directory.

Determines which MCP tools to use based on task type and complexity. Provides trigger conditions for Context7 (technical docs), Sequential Thinking (complex reasoning), Zen (multi-model consensus), Serena (code navigation), Recall (session memory), Tavily (web search), Chrome DevTools (browser automation). Use when determining which external tools apply to current task.

Debugging techniques for Python, JavaScript, and distributed systems. Activate for troubleshooting, error analysis, log investigation, and performance debugging.

This skill should be used when the user asks to "plan the implementation", "break down the tasks", "explore the codebase", or as Phase 2 of the /dev workflow after brainstorming. Creates task breakdown from codebase exploration.

This skill should be used when the user asks to "generate Rails code", "create a model", "create a controller", "add a migration", "write Rails tests", "set up background jobs", "configure Rails app", or discusses Rails conventions, best practices, ActiveRecord patterns, Hotwire/Stimulus, ViewComponent, RSpec testing, or Ruby on Rails development. Based on Evil Martians' AGENTS.md.

Python testing framework for writing simple, scalable, and powerful tests

This skill should be used for prior investigation, scope quantification, and detailed planning before implementation. Use when you need to analyze a problem, estimate complexity, and create a comprehensive implementation plan. Designed for expensive/clever models (Opus, Sonnet) to maximize planning quality.

Systematic code quality improvement workflow combining smart-reviewer and test-generator MCP tools with Pareto 80/20 auto-fixes, severity-based review, and comprehensive test generation. Use when p...

Assess text readability using multiple metrics. Execute Python script for detailed readability analysis. Use when evaluating text complexity, comprehension level, or audience fit.

Use when creating new skills, improving existing skills, or when the user requests help with skill authoring. Creates optimized Claude Code skills (SKILL.md files) following official best practices for descriptions, structure, content patterns, and validation.

Deep codebase analysis to generate 8 comprehensive documentation files. Adapts based on path choice - Greenfield extracts business logic only (tech-agnostic), Brownfield extracts business logic + technical implementation (tech-prescriptive). This is Step 2 of 6 in the reverse engineering process.

Review code against PRISM target architecture patterns from REFACTORING_DESIGN_DOCUMENT.md. This skill should be used during refactoring to ensure new Runner and Trainer classes follow AbstractRunner/AbstractTrainer patterns.