LLM & Agents

When setting up commit message validation for a project. When project has commitlint.config.js or .commitlintrc files. When configuring CI/CD to enforce commit format. When extracting commit rules for LLM prompt generation. When debugging commit message rejection errors.

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.

Build Model Context Protocol (MCP) servers - comprehensive coverage of generic MCP protocol AND FastMCP framework specialization. Use when creating any MCP server (Python FastMCP preferred, TypeScript/Node also covered). Includes agent-centric design principles, evaluation creation, Pydantic/Zod validation, async patterns, STDIO/HTTP/SSE transports, FastMCP Cloud deployment, .mcpb packaging, security patterns, and mid-2025+ community practices. Standalone skill with no external dependencies.

Configure Ralph loop guidance via AUQ flows - forbidden/encouraged items from constraint scan. TRIGGERS - session guidance, loop configuration, /ralph:start Step 1.6.

Training manager for Hugging Face Jobs - launch fine-tuning on HF cloud GPUs with optional WandB monitoring

Autonomously execute ALL tasks from the backlog until complete. Runs in a continuous loop - picks task, implements via subagent, moves to done, repeats. No user prompts between tasks. Follows task-board workflow (backlog → in-progress → done).

Creates and updates Agent Skills (SKILL.md directories) with proper YAML frontmatter, progressive disclosure patterns, and tool restrictions. Use when creating skills, authoring Agent Skills, building reusable capabilities, or when users mention skills, SKILL.md, skill development, agent capabilities, or progressive disclosure.

Website sitemap generation workflow. Analyzes requirements, delegates to sitemap-analyst agent, generates sitemap with shadcn-ui-blocks component selections. Use when planning website architecture, structuring pages, selecting components, or requesting sitemap/page structure planning.

Systematically analyze a Magento 1 module to determine its purpose, usage, and migration requirements for Magento 2. Use when you need to decide whether to migrate a M1 module, find alternatives, or skip it.

Creates custom slash commands for Claude Code with proper syntax, frontmatter, arguments, bash execution, and file references. Use when building slash commands, creating custom Claude Code commands, setting up team workflows, or when users mention slash commands, command files, or .md command creation.

Central authority for Claude-Gemini shared workspace architecture. Defines directory structure, artifact exchange, and file naming conventions. Use when setting up dual-CLI workflows, deciding where to store AI artifacts, or managing cross-CLI file exchange.

Recommend the right agents and skills for any task. Covers both heavyweight agents (Task tool) and lightweight skills (Skill tool). Triggers on: which agent, which skill, what tool should I use, help me choose, recommend agent, find the right tool.

Central authority for Claude Code permissions. Covers permission system (tiered model, read-only, bash, file modification), permission rules (allow, ask, deny), rule precedence, permission modes (default, acceptEdits, plan, bypassPermissions), tool-specific permission rules (Bash patterns, Read/Edit patterns, WebFetch domains, MCP tools), /permissions command, and additionalDirectories. Assists with configuring permission rules, understanding permission modes, and troubleshooting permission issues. Delegates 100% to docs-management skill for official documentation.

Follow a structured approach to create new Claude Code plugins and register them in your marketplace. Use when building plugins for commands, skills, hooks, or MCP servers.

Guide for creating and editing CLAUDE.md or AGENTS.md files - AI agent instruction documents. Use when the user wants to create a new CLAUDE.md/AGENTS.md, edit existing agent documentation, set up AI instructions for a repository, or asks about best practices for agent docs structure.

Complete WezTerm terminal emulator configuration assistant. Use for any WezTerm configuration task including appearance, fonts, colors, keybindings, mouse bindings, tabs, panes, SSH domains, multiplexing, serial ports, plugins, events, window management, performance, platform-specific settings, Lua scripting, or any terminal customization.

Hub skill for requirements elicitation. Provides technique selection, orchestration guidance, LLMREI patterns, and autonomy level configuration. Use when gathering requirements from stakeholders, conducting elicitation sessions, or preparing requirements for specification.

Retrieval-Augmented Generation (RAG) system design patterns, chunking strategies, embedding models, retrieval techniques, and context assembly. Use when designing RAG pipelines, improving retrieval quality, or building knowledge-grounded LLM applications.

向助手发出协助请求，适用于需要在隔离的独立环境中执行复杂编程任务、任务规划、文稿撰写的场景。

Set up task-based multi-agent systems with shared task files. Use when setting up parallel agent execution, designing worktree isolation patterns, or implementing task file coordination.