Scripting

Generate MicroPython programs for the Moving Rainbow LED strip educational project using Raspberry Pi Pico with NeoPixel strips and button controls.

Meta-skill for creating Claude Code skills. TRIGGERS - create skill, YAML frontmatter, validate skill, TodoWrite templates, bundled resources (scripts/references/assets), progressive disclosure, allowed-tools, skill architecture. Use when creating, validating, or structuring skills.

ALWAYS follow this style when writing Python / JavaScript code

Synchronizes tsconfig.json paths from package.json imports field. Ensures TypeScript resolves subpath imports (#imports) correctly during development.

TypeScript best practices, strict typing patterns, and type safety strategies. Use when implementing TypeScript code with focus on type correctness and maintainability.

Run Earthly E2E validation for YAML schema contracts. Use when validating YAML schema changes, testing schema contracts against live ClickHouse, or regenerating Python types, DDL, and docs from YAML. For SQL schema design and optimization, use clickhouse-architect skill instead.

How to read, manipulate, and generate PDFs using CLI tools and Python libraries.

Formats code according to Ben's style guidelines for TypeScript, Python, and general best practices. Use when formatting code, fixing linting issues, checking naming conventions, organizing imports, or when user mentions formatting, style, linting, Prettier, Black, or ESLint.

Build Text User Interface (TUI) applications using the Textual Python framework (v0.86.0+). Use when creating terminal-based applications, prototyping card games or interactive CLIs, or when the user mentions Textual, TUI, or terminal UI. Includes comprehensive reference documentation, card game starter template, and styling guides.

Use when creating standalone executable Python scripts with dependencies. This skill applies when users request scripts that should run independently with their own dependency management, using Python's inline script metadata format (PEP 723).

Professional skill creation with research-driven workflow and automated validation. USE WHEN: Creating new skills, validating existing skills, deciding between Skills vs Subagents, migrating documents to skills, or running individual validation tools. PRIMARY TRIGGERS: "create skill" = Full creation (12 steps with research + execution planning) "validate skill" = Validation workflow (steps 3-8) "Skills vs Subagents" = Decision workflow (step 0) "convert doc to skill" = Migration workflow "estimate tokens" = Token optimization "security scan" = Security audit WORKFLOW COMPLIANCE: Structured workflows with validation checkpoints. Research phase (Step 1c-1d) ensures skills based on proven approaches. DIFFERENTIATOR: Research-driven creation. Web search (3-5 queries) before building. Multi-proposal generation. 9 automation scripts. Quality 9.0+/10. REUSED: Anthropic's init_skill.py and package_skill.py (production-tested).

查询计量经济学RAG知识库。当用户输入以"rag："开头时，LLM会使用Python查询Bruce Hansen计量经济学教材的RAG数据库，返回相关文档内容。

This skill should be used when describing patterns or anti-patterns for detection by LLM agents across any domain (code analysis, business processes, security audits, UX design, data quality, medical diagnosis, etc.). Uses narrative storytelling structure ("The Promise" → "The Betrayal" → "The Consequences" → "The Source") to achieve 70% faster pattern identification compared to checklist or formal specification approaches. Triggers when creating pattern descriptions for any systematic analysis, detection tasks, or when delegating pattern-finding to sub-agents.

Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Zero hallucinations, just your knowledge base.

Generates c# and typescript clients for BymseRead.Service.

Use this skill when creating new Claude Code skills from scratch, editing existing skills to improve their descriptions or structure, or converting Claude Code sub-agents to skills. This includes designing skill workflows, writing SKILL.md files, organizing supporting files with intention-revealing names, and leveraging CLI tools and Node.js scripting.

This skill should be used when the user asks to "use git blame", "check git history", "find git commits", "use git log", "use git diff", "use git bisect", "trace code changes", "find who changed this code", or mentions using git commands for investigating code history and changes during root cause analysis.

Add ADR references to code for decision traceability. Use when creating new files, documenting non-obvious implementation choices, or when user mentions ADR traceability, code reference, or document decision in code. Provides language-specific patterns for Python, TypeScript, Rust, Go.

This skill should be used when the user requests to research topics using FireCrawl, enrich notes with web sources, search and scrape information, or write scientific/academic papers. It extracts research topics from markdown files, creates research documents with scraped sources, generates BibTeX bibliographies from research results, and provides Pandoc/MyST templates for academic writing with citation management.

This skill is for writing integrations to the Ruby SDK. Claude acts as the engineer implementing LLM provider or agentic framework integrations. Use when adding support for OpenAI-like providers, Anthropic-like providers, or agent frameworks. Covers TDD workflow, comprehensive testing (streaming/non-streaming/tokens/multimodal), defensive coding, MCP validation, and StandardRB compliance.