发现 testing security llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation,...
Web research skill for augmenting agent context with current information. Used when outdated information could lead to broken implementations or wasted effort.
Use when creating new skills or editing existing skills - applies prompt engineering principles to write clear, goal-focused process documentation that trusts LLM intelligence
Adaptive learning system that tracks implementation patterns, success rates, and performance metrics to suggest proven solutions for future tasks.
Analyze processed D&D sessions to extract and summarize campaign knowledge including NPCs, locations, quests, items, and factions. Use when the user wants to review campaign content, find specific entities, or...
Orchestrate end-to-end processing of D&D session videos from upload through knowledge extraction. Use when the user wants a complete automated workflow to process a new session recording.
Process D&D session videos through the complete chunking pipeline. Use when the user requests to process, chunk, transcribe, or analyze a D&D session video file.
deepagents framework integration patterns for agent creation, planning, filesystem operations, and subagent orchestration. Current version 0.2.5 with LangGraph 1.0.2+
Analyze completed growth experiment results, validate hypotheses, generate insights, and suggest follow-up experiments. Use when experiments are completed, when the user asks about results or learnings, or when...
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hour...
Generates a comprehensive learning graph from a course description, including 200 concepts with dependencies, taxonomy categorization, and quality validation reports. Use this when the user wants to create a st...
This skill generates a comprehensive set of Frequently Asked Questions (FAQs) from the course description, course content, learning graphs, concept lists, MicroSims, and glossary terms to help students understa...
This skill installs a complete Claude Code skill tracking system using hooks to automatically log skill usage, execution duration, token usage, and user prompts for later analysis. Use this skill when setting u...
Execute complex multi-tool MCP workflows directly using TypeScript or Python. As the MCP executor agent, you have MCP servers configured and write code that composes multiple tool calls. Use for 3+ MCP tool cal...
Build self-hosted speech-to-text APIs using Hugging Face models (Whisper, Wav2Vec2) and create LiveKit voice agent plugins. Use when building STT infrastructure, creating custom LiveKit plugins, deploying self-...
Guide for creating effective prompts and instructions for LiveKit voice agents. Use when building conversational AI agents with the LiveKit Agents framework, including (1) Creating new voice agent prompts from...
Comprehensive guide for building functional tools for LiveKit voice agents using the @function_tool decorator. Use when creating tools for LiveKit agents to enable capabilities like API calls, database queries,...
Build self-hosted TTS APIs using HuggingFace models (Parler-TTS, F5-TTS, XTTS-v2) and create LiveKit voice agent plugins with streaming support. Use when creating production-ready text-to-speech systems that ne...
Guide for building production-ready LiveKit voice AI agents with multi-agent workflows and intelligent handoffs. Use when creating real-time voice agents that need to transfer control between specialized agents...
Build and deploy self-hosted Text-to-Speech API using MeloTTS from Hugging Face and create a LiveKit plugin for voice agents. Use this skill when building TTS systems, LiveKit voice agents, or self-hosted speec...
Guide AI assistants through Gray Swan MITM challenges using Playwright browser automation to interact with AI agent intermediaries. Use when working on Gray Swan Machine-in-the-Middle CTF challenges.
Orchestrate workflows across multiple AI models (Perplexity, GPT, Grok, Claude, Gemini) for comprehensive security research, competition execution, and strategic analysis using GUI interfaces or API automation
Execute Indirect Prompt Injection attacks for Gray Swan AI Arena Wave 2 with pre-built payloads, model profiling, and evidence collection automation
Execute AI security CTF challenges across any competition platform with adaptable workflows for indirect prompt injection, jailbreaks, agent exploitation, and evidence collection with research-grounded techniqu...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。