Generate and play multilingual text-to-speech audio using mlx-audio with Kokoro model. Use when user asks to hear pronunciation, speak text aloud, or wants audio for language learning. Supports 9 languages (English, Spanish, French, Italian, Portuguese, Hindi, Japanese, Chinese) and 11 voices with speed control.
Replace with description of the skill and when Claude should use it.
Detects when the agent is stuck in a reasoning loop or unproductive state by analyzing tool usage and sentiment patterns.
MCP（Model Context Protocol）服务器开发指南。当用户需要开发 MCP 服务器、创建 LLM 工具集成、或构建 AI 代理与外部服务交互的接口时使用。
Install, manage, and run ComfyUI instances. Use when setting up ComfyUI, launching servers, installing/updating/debugging custom nodes, downloading models from CivitAI/HuggingFace, managing workspaces, running API workflows, or troubleshooting node conflicts with bisect.
Use when creating CLAUDE.md files, updating existing CLAUDE.md, validating CLAUDE.md structure, or auto-fixing CLAUDE.md issues. Load for setting up project instructions, global guidelines, local overrides, or modular rules. Handles global (~/.claude/CLAUDE.md), project (.claude/CLAUDE.md), local (CLAUDE.local.md), and rules (.claude/rules/*.md) with smart project detection and template generation.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Persist and recall project-specific context across sessions. Store architectural decisions, patterns, solutions, and learnings. Automatically recall relevant context when facing similar problems.
Generates ACAS-aligned investigation invite wording, neutral question sets, and evidence logs. USE WHEN starting a driver incident investigation/interview.
Guide users through building comprehensive AI evaluation strategies using Evaluation-Driven Development (EDD)
Use when storing decision traces, querying past precedents, or implementing learning loops. Load in COMPLETE state or when needing to learn from history. Covers semantic search with Voyage AI embeddings, ChromaDB for cross-platform vector storage, and pattern extraction from history.
This skill sets up a complete two-agent development system based on the "Effective Harnesses for Long-Running Agents" research. It creates initializer-agent (for project planning) and coding-agent (for incremental implementation), along with enforcement hooks and progress tracking infrastructure. Use when users ask to "set up two-agent system", "install agent harness", "configure Opus delegation", or want to implement the two-agent architecture pattern.
Local speech-to-text with Parakeet MLX (ASR) for Apple Silicon (no API key).
Quick classifier training with automatic model selection, hyperparameter tuning, and comprehensive evaluation metrics.
Intelligently truncate text while preserving content integrity. Suitable for novel text preprocessing, ensuring text does not exceed specified length limits
Автоматизация создания Telegram bot команд и handlers
Verify code, documents, or implementation against requirements using LLM Council multi-model deliberation. Use when you need multi-model consensus on correctness, completeness, or quality. Keywords: verify, check, validate, review, approve, pass/fail, consensus, multi-model
Use when starting a new session without feature-list.json, setting up project structure, or breaking down requirements into atomic features. Load in INIT state. Detects project type (Python/Node/Django/FastAPI), creates feature-list.json with priorities, initializes .claude/progress/ tracking.
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
