LLM & Agents

Configure scan-mcp MCP server in Claude Code's global configuration. Use when user wants to setup, configure, initialize, enable, or install the scan-mcp MCP server. Runs preflight checks for prerequisites (Node 22+, SANE tools, tiffcp), helps install missing dependencies, and adds server configuration with user-specified INBOX_DIR.

Telegram bot production management, monitoring, and troubleshooting. Use when user mentions telegram bot, claude-orchestrator, bot status, bot restart, or bot monitoring.

AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.

Manages Claude configuration files for both Claude Desktop and Claude Code projects. Handles MCP server configuration, environment variables, project settings, and developer options. Use when configuring Claude Desktop with MCP servers, setting up Claude Code project settings, managing environment variables for Claude, enabling debugging features, or troubleshooting Claude configuration issues.

Troubleshoot Claude Code session issues. Use when encountering "No conversations found" errors, missing sessions, or session file corruption problems.

Embrace vibe coding for rapid UI exploration. Covers when to iterate vs refine, ephemeral app patterns, and the art of fast, disposable prototyping with AI-assisted development.

Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes

This skill should be used when conducting comprehensive research on any topic using the OpenAI Deep Research API. It automates prompt enhancement through interactive clarifying questions, saves research parameters, and executes deep research with web search capabilities. Use when the user asks for in-depth analysis, investigation, research summaries, or topic exploration.

Create specialized Claude Code agents (subagents) with proper YAML frontmatter, tool permissions, and domain expertise. Use when: creating new agents, designing agent prompts, configuring agent tools and models. Triggers: create agent, new agent, agent template, subagent, agent design.

Validates and reviews Claude Code agents against best practices. Checks YAML syntax, naming conventions, description quality, system prompt effectiveness, and tool configuration. Provides improvement suggestions and optionally applies fixes. Use when validating agents, reviewing agent quality, checking agents before commit, or when `--validate-agent` is mentioned.

Use when pair programming with humans - enforces XP values (communication, simplicity, feedback, courage, respect) to deliver high-quality software; push back on YAGNI violations regardless of seniority or sunk cost

Claude Code hooks development guide covering all 10 hook events lifecycle, PostToolUse visibility patterns, PreToolUse guards, Stop hook schema, and debugging. Use when creating hooks, troubleshooting hook output, understanding hook lifecycle, or when user mentions decision block, hook JSON output, stop hook, or Claude Code hooks.

Add a new AI provider or model for recipe generation. Use when adding support for a new LLM provider (Anthropic, Google, etc.) or adding models to an existing provider.

Enforce line limits (CLAUDE.md ≤100, others ≤200) and remove low-ROI content from .md files, use when optimizing or refactoring docs (project)

智能计量经济学分析代理。当用户输入以"autoregmonkey："开头时，LLM会解析经济学计量任务，参考RAG数据库知识，动态调用Python和Stata技能执行任务，最后生成中文报告。

Creates and manages plugin marketplaces for Claude Code, enabling plugin discovery, distribution, and team sharing. Generates marketplace.json files with proper schema, configures plugin sources (GitHub, Git, local), and sets up team configurations for automatic marketplace installation. Use when publishing Claude Code plugins, creating internal plugin catalogs, setting up team plugin distribution, or managing plugin discovery for Claude Code projects.

Pragmatic Rust conventions to keep code readable, testable, and performant for this project.

Letta framework for building stateful AI agents with long-term memory. Use for AI agent development, memory management, tool integration, and multi-agent systems.

Generate comprehensive, publication-quality technical manuals with thematic storytelling using multi-agent orchestration. Use when user asks for themed documentation, narrative technical guides, memorable training materials, or mentions themes like Victorian, steampunk, art deco, medieval, or nautical combined with technical topics. Triggers on phrases like "create themed manual", "documentation with storytelling", or requests to make docs "more engaging" or "memorable".

Generates Jest or Pytest tests following Ben's testing standards. Use when creating tests, adding test coverage, writing unit tests, mocking dependencies, or when user mentions testing, test cases, Jest, Pytest, fixtures, assertions, or coverage.