agentdevcoder
Use this skill in the scenario of intelligent agent application development.
cellchat-pkg-local-complete
CellChat 包源码随附的本地教程 + Rd 转换的函数文档 + R 源码 HTML - 完整覆盖173个文件
skill-builder
Use this skill whenever the user mentions a skill or is creating/updating/reviewing SKILL.md or any file under skills (any language); ALWAYS read this SKILL.md first and treat it as the authoritative instructions for the session.
bedrock-agentcore
Amazon Bedrock AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services. Use when building Bedrock agents, deploying AI agents to production, or integrating with AgentCore services.
cva-overview
Overview of Clojure + Google ADK + Vertex AI development environment. Comprehensive lab for building production AI agents using Clojure as primary language, integrating Google ADK via Java SDK and Python libraries via libpython-clj. Includes healthcare pipeline with validated ROI (-99.4% time, -92.4% cost). Use when starting new projects, understanding architecture, or needing general context about the stack.
skill-install
Install Claude skills from .skill files. Use when installing a new skill provided by the user as a .skill file (which is a zip archive containing the skill directory structure).
llmops-operations
LLMアプリケーションの設計・運用・評価・最適化。プロンプト管理、RAG構築、ファインチューニング、評価パイプライン、コスト最適化、本番運用。「LLM」「プロンプト」「RAG」「ファインチューニング」「AI運用」「評価」に関する質問で使用。
knowledge-base-search
Search and retrieve information from the vector knowledge base (RAG)
using-superpowers
Use at conversation start - establishes how to find and use skills, requiring skill loading before ANY response
skills-index-updater
Regenerate skill indexes for IDEs without native skill support (Kiro, Gemini, etc.). ONLY use when the user EXPLICITLY asks to "update skill index", "sync agents", "regenerate index", or "update AGENTS.md". Do NOT auto-invoke after creating/modifying skills - Claude Code has native skill support and does not need this.
openai-agents
Use when integrating OpenAI GPT models for conversational AI. Covers chat completions, streaming responses, function calling, system prompts, token management, cost optimization, error handling, and building specialized agent personas for Physical AI tutoring.
ros-message-types
Use this skill when the user asks about ROS message types, message fields, sensor_msgs, geometry_msgs, std_msgs, nav_msgs, or needs to understand how to work with specific message structures like sensor_msgs/Imu, geometry_msgs/Twist, nav_msgs/Odometry, etc. Trigger examples: - "What fields are in sensor_msgs/Imu?" - "How do I publish a Twist message?" - "What's the difference between Pose and PoseStamped?" - "Show me the Odometry message structure" - "What units does IMU use?"
unsloth-gguf
Exporting fine-tuned models to GGUF format for deployment in llama.cpp, Ollama, and local serving tools. Triggers: gguf, quantization export, llama.cpp, ollama, save_pretrained_gguf, modelfile.
knowledge-ingestion-patterns
Patterns for ingesting knowledge into vector databases and RAG systems
moai-alfred-expertise-detection
Guide Alfred to detect user expertise level (Beginner/Intermediate/Expert) through in-session behavioral signals without memory file access
llm-application-patterns
This skill should be used when building production LLM applications in any language. It applies when implementing predictable AI features, creating structured interfaces for LLM operations, configuring language model providers, building agent systems with tools, optimizing prompts, or testing LLM-powered functionality. Covers language-agnostic patterns for type-safe contracts, modular composition, multi-provider support, and production deployment.
play-sound
Cross-platform audio feedback system for task completion and user prompts. Provides non-intrusive sound notifications to improve workflow awareness.
weaviate-rag
Implement RAG systems using Weaviate vector database. Use when building semantic search, document retrieval, or knowledge base systems.
embeddings
Computes semantic embeddings for text and measures distance between sentences. Use for semantic similarity analysis and comparing text.
