Scripting

Master Python asynchronous programming with asyncio, async/await, and concurrent.futures. Use for async code and concurrency patterns.

This skill automates version bumping during the release process for the Claude Code Handbook monorepo. It should be used when the user requests to bump versions, prepare a release, or increment version numbers across the repository.

Use when Python data modeling with dataclasses, attrs, and Pydantic. Use when creating data structures and models.

This skill should be used for Python scripting and Gemini image generation. Use when users ask to generate images, create AI art, edit images with AI, or run Python scripts with uv. Trigger phrases include "generate an image", "create a picture", "draw", "make an image of", "nano banana", or any image generation request.

Use during verification phase when conducting thorough code reviews and providing constructive feedback based on universal software quality principles.

Use when implementing error handling, cleanup routines, or debugging in shell scripts. Covers traps, exit codes, and robust error patterns.

Use when typeScript async patterns including Promises, async/await, and async iterators with proper typing. Use when writing asynchronous TypeScript code.

System setup, tool information, and AI configuration management for development environments. Use when setting up new machines, explaining available tools (shell-config, ai-rules, wt), managing AI assistant configurations (Claude/Codex/Gemini/OpenCode), checking system configuration, or troubleshooting environment issues. Also triggers when working with configuration files (.json, .toml, .fish, .zsh, .bash), Brewfiles, or installation scripts. Example triggers: "Set up my development environment", "Install tools on new machine", "Configure AI assistant", "What tools do I have?", "Update my shell config", "Add MCP server to Claude", "Check system configuration"

Analyze codebase patterns and create custom skills for repetitive workflows. Use when project needs automation or pattern enforcement. Auto-invoke when user says "create a skill for...", "automate this workflow", or "we keep doing X manually".

Prevent AI hallucination and ensure evidence-based responses when analyzing code or making suggestions. Use when: analyzing code, making recommendations, providing options, or when user asks about confidence/certainty. Keywords: certainty, assumption, inference, evidence, source, 確定性, 推測, 假設, 來源, 證據.

Python 开发规范，包含 PEP 8 风格、类型注解、异常处理、测试规范等

TypeScript conventions and type-safe patterns.

AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.

Use the Gemini CLI to consult Gemini and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.

Use uv and PEP 723 to write self-installing autocontained Python scripts

This skill should be used when users request code review, refactoring, or code quality improvements for Ruby codebases. Apply Sandi Metz's four rules for writing maintainable object-oriented code - classes under 100 lines, methods under 5 lines, no more than 4 parameters, and controllers instantiate only one object. Use when users mention "Sandi Metz", "code quality", "refactoring", or when reviewing Ruby code for maintainability.

Write READMEs for software projects. The skill should be used when writing or revising a README or README.md file.

Evidence-based completion verification for Starwards - run actual npm test commands, check E2E snapshots, verify TypeScript types, and confirm build success before claiming work is complete; evidence before assertions always

Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance. Use for complex features, large refactors, or multi-step tasks. Supports behavioral constraints, parallel workers, and persistent state across context compactions.

Compare ERB and JavaScript template outputs for the offline scoring SPA. Use when working on ERB-to-JS conversion, debugging template parity issues, or verifying that changes to scoring views work correctly in both ERB and SPA modes.