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。
Expert guidance for building AI agents and multi-agent workflows using Microsoft Agent Framework for .NET. Use when (1) creating AI agents with OpenAI or Azure OpenAI, (2) implementing function tools and struct...
Expert guidance for building REST APIs with FastAPI framework in Python. Use when (1) creating new FastAPI projects from scratch, (2) implementing API endpoints with routing, (3) working with Pydantic models fo...
Expert guidance for building multi-agent AI applications using the OpenAI Agents SDK for Python. Use when (1) creating agents with handoffs, tools, guardrails, or sessions, (2) implementing structured outputs w...
Expert guidance for building conversational AI applications with Chainlit framework in Python. Use when (1) creating chat interfaces for LLM applications, (2) building apps with OpenAI, LangChain, LlamaIndex, o...
Agent OS skill: redator-spec
Agent OS skill: implementador
Agent OS skill: modelador-spec
Agent OS skill: planejador-produto
How to update and publish pgdbm skills for Claude Code users
Generate a project-specific CLAUDE.md file by auto-detecting tech stack and asking clarifying questions. Use when starting work on a new project or when a project lacks a CLAUDE.md.
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...
Interactive review sessions with academic PDFs (lectures, research papers, book chapters). Extract concepts, run Q&A sessions, generate quizzes with scoring. Preserves mathematical formulas in LaTeX format. Pri...
This skill should be used when the user asks to "write agent spec", "define agent role", "specify an agent", "agent specification", "what should my agent do", "agent inputs outputs", "agent design discovery", "...
This skill should be used when the user asks about "agent coordination", "MAS architecture", "blackboard pattern", "orchestrator pattern", "how agents communicate", "multi-agent workflow", "event-driven agents"...
This skill should be used when the user asks about "MAS production", "agent observability", "MAS cost optimization", "agent monitoring", "multi-agent governance", "MAS compliance", "token budget", "ops runbook"...
This skill should be used when the user asks "should I use multi-agent", "MAS vs single agent", "when to use multiple agents", "do I need multi-agent", "single agent or multi-agent", "simplicity test", "agent n...
Replace with a clear and informative description of what this skill does and when Claude should use it. Include specific scenarios and file types that trigger the skill.
Analyze and improve skills based on session outcomes. Use when: user says "reflect", "improve the skill", "what went wrong with the skill", "optimize skills", or wants to analyze skill effectiveness after using...
Interview users in-depth about project requirements to create a comprehensive specification. Use when starting a new project, gathering requirements, or when user wants to document project decisions. Triggers o...
This skill should be used when the user asks to "create a new agent", "make a subagent", "build an agent for X", "generate agent configuration", or wants to create a new Claude Code sub-agent. Triggers on "agen...
Specialized skill for creating new OpenCode agent skills. Detailed instructions on triggers, structure, and best practices. Triggers: 'create a skill', 'make a new skill', 'add a skill', 'new skill'.
Initialize a project with a CLAUDE.md file by exploring the codebase and auto-detecting development workflows. Use when user wants to set up Claude Code for a new project, create a CLAUDE.md, or run /init-proje...
This skill should be used when the user asks to "interview me about the plan", "validate my implementation plan", "review my design decisions", "question my architecture choices", or when finishing plan mode be...
Analyze conversation to extract reusable engineering rules. Use when user says 'reflect', 'remember this', 'learn from this', or after receiving corrections/feedback.
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。