GitHub
mcp-executor
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...
☆ 1查看技能
tools llm ai AI 技能
发现 tools 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。
分类目录: tools llm ai
tools llm ai 清除筛选
全部技能
GitHub
livekit-stt-selfhosted
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-...
☆ 1查看技能
GitHub
livekit-prompt-builder
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...
☆ 1查看技能
GitHub
livekit-agent-tools
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,...
☆ 1查看技能
GitHub
tts-livekit-plugin
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...
☆ 1查看技能
GitHub
livekit-voice-agent
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...
☆ 1查看技能
GitHub
tts-livekit-plugin
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...
☆ 1查看技能
GitHub
gray-swan-mitm-interaction
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.
☆ 1查看技能
GitHub
multi-model-orchestration
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
☆ 1查看技能
GitHub
gray-swan-ipi-wave-2-executor
Execute Indirect Prompt Injection attacks for Gray Swan AI Arena Wave 2 with pre-built payloads, model profiling, and evidence collection automation
☆ 1查看技能
GitHub
ai-ctf-generic
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...
☆ 1查看技能
GitHub
gray-swan-competition
Execute Gray Swan AI Arena indirect prompt injection (IPI) and machine-in-the-middle (MITM) challenges with optimized payloads, reconnaissance workflows, and evidence collection for CTF competition success
☆ 1查看技能
GitHub
payload-generator
Generate optimized indirect prompt injection, H-CoT, and multi-layer attack payloads for AI security testing and CTF competitions with automated family selection and success rate optimization
☆ 1查看技能
GitHub
dispatching-parallel-agents
Use when facing 3+ independent tasks that can be completed without shared state or dependencies - dispatches multiple agents to work concurrently on summarization, investigation, implementation, or analysis
☆ 1查看技能
GitHub
using-skogactions
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWri...
☆ 1查看技能
GitHub
using-crispyclaude
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWri...
☆ 1查看技能
GitHub
research-orchestration
Use when brainstorming completes and user selects research-first option - manages parallel research subagents (up to 4) across codebase, library docs, web, and GitHub sources, synthesizing findings and auto-sav...
☆ 1查看技能
GitHub
deep-research
Use PROACTIVELY for comprehensive, multi-source research combining web browsing, codebase exploration, and third-party code analysis. Orchestrates multiple specialized agents using Graph of Thoughts methodology...
☆ 1查看技能
GitHub
strategy-synthesis
Combine findings from parallel intelligence gathering into unified execution plan. Synthesize predictions, web research, deep strategy, and environment observations into optimal approach. Use when multiple inte...
☆ 1查看技能
GitHub
skill-builder
Use when the user wants to create a new Claude Code skill, build a custom skill, or needs help structuring skill instructions. Guides users through creating properly formatted skills with YAML frontmatter, clea...
☆ 1查看技能
GitHub
ai-model-cascade
A production-ready pattern for integrating AI models (specifically Google Gemini) with automatic fallback, retry logic, structured output via Zod schemas, and comprehensive error handling. Use when integrating...
☆ 1查看技能
GitHub
creating-skills
Expert knowledge on creating Agent Skills for Claude Code. Use when designing or creating SKILL.md files, understanding Skill structure, or implementing progressive disclosure patterns.
☆ 1查看技能
GitHub
automation-build-flow
Workflow builder for Power Automate, n8n, Make, Zapier and other platforms. Generates complete, production-ready workflow JSON from implementation plans or requirements. Uses flow-builder sub-agent to create va...
☆ 1查看技能
GitHub
share-session
Convert and share Claude Code conversation sessions as readable markdown files. Use when user wants to share a session transcript, export conversation history, or create a shareable markdown document from a Cla...
☆ 1查看技能
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。