发现 devops 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。
AI-powered pipeline diagnostics. Explains why faces weren't detected, tracked, embedded, or clustered using OpenAI GPT-4o analysis. Use when debugging pipeline issues, reviewing unclustered tracks, or understan...
Integrate xAI's Grok models for multi-model collaboration. Triggers on "Ask Grok", "What does Grok think", "Have Grok analyze", or similar phrases. Provides access to grok_query, grok_analyze_code, grok_reason,...
Create, configure, and document custom Claude Code subagents, including choosing scope, defining YAML frontmatter, selecting tools, model, permission mode, hooks, and usage examples.
Adversarial self-validation skill for verifying outputs before delivery. Applies systematic counter-argument challenges including "why is this wrong", "prove this is incorrect", and "why doesn't this make sense...
Agent with selective Gemini safety settings for specific categories
Agent with minimal Gemini safety settings using default threshold only
Agent with comprehensive Gemini safety settings configured for all categories
Read-only code exploration and documentation search agent
Execute codex CLI as sub-agent for thorough code reviews (codex's specialty), alternative approaches when stuck, or complex problems requiring extended investigation. Note that inference takes significant time.
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Copilot should use this skill whenever asked to write some sort of internal communicatio...
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Copilot needs to work with professional documents (.docx fil...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Copilot's capabilities with specialized knowledge, workflows, or t...
Suite of tools for creating elaborate, multi-component Copilot.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, ro...
Generate text using Google GenAI Gemini models via CLI. Use when the user asks to generate text, get AI responses, create content, write with AI, or use Gemini for text completion.
Generate videos using Google GenAI Veo 3.1 model via CLI. Use when the user asks to create videos, generate animations, make AI video content, do image-to-video transformations, interpolate between frames, or c...
Generate images using Google GenAI Nano Banana Pro model via CLI. Use when the user asks to create images, generate pictures, make AI art, do image-to-image transformations, place people in scenes, or create ch...
Comprehensive skill for building, deploying, and managing multi-agent AI systems with Agno framework
Comprehensive skill for Model Context Protocol (MCP) - building servers and clients for LLM context integration
Build LLM applications using Dify's visual workflow platform. Use when creating AI chatbots, implementing RAG pipelines, developing agents with tools, managing knowledge bases, deploying LLM apps, or building w...
Comprehensive skill for Evolution API - open-source WhatsApp integration platform with multi-service chatbot and automation support
Extract structured information from unstructured text using LLMs with source grounding. Use when extracting entities from documents, medical notes, clinical reports, or any text requiring precise, traceable ext...
Comprehensive skill for Graphiti and Zep - temporal knowledge graph framework for AI agents with dynamic context engineering
Comprehensive skill for Microsoft GraphRAG - modular graph-based RAG system for reasoning over private datasets
Manages Claude Code skills - creates, updates, and maintains skills following established design principles. Use when the user asks to create a skill, update a skill, refactor a skill, or wants to teach Claude...
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。