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。
Use this skill when asked to create, refine, analyze, or optimize prompts for Large Language Models (LLMs). This skill ensures adherence to prompt engineering best practices and enforces a rigorous design workf...
Prompt engineering expert that helps users craft optimized prompts using 57 proven frameworks. Use when users want to optimize prompts, improve AI instructions, create better prompts for specific tasks, or need...
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The reference framework to generate, compile, and lint greenfield prompts that conform to the Agnostic Prompt Standard (APS) v1.0.
Add a new AI provider to agentconfig.org's comparison system. Use when integrating a new coding assistant (e.g., Cursor, Claude Desktop, GitHub Copilot alternative) with proper type system updates, implementati...
AI collaboration workflow plugin - Implements automated collaborative development process between Claude and Copilot through structured 5-stage workflow
Expert technical writer for Logseq Template Graph project. Generates comprehensive, accurate, and well-structured documentation for modules, features, guides, and APIs. Activates when asked to "write docs", "do...
AI-powered media production pipeline using Nano Banana Pro (images), KLING AI (video/transitions), and ElevenLabs (voiceover). Use when creating video content, product demos, social media assets, or any multime...
Summarize conversation to start a new one
Autonomous iteration execution guide for PRP Ralph loops. Use when .claude/prp-ralph.state.md exists, when continuing Ralph iterations, or when executing plans autonomously until all validations pass. Provides...
Comprehensive LLM audit. Model currency, prompt quality, evals, observability, CI/CD. Ensures all LLM-powered features follow best practices and are properly instrumented. Auto-invoke when: model names/version...
Create and manage reusable agent skills with proper structure and frontmatter
Standardized reference documentation section structure for agents - project guidance, conventions, related agents, and Skills. Use when implementing or updating agent documentation.
AI agent development standards including frontmatter structure, naming conventions, tool access patterns, model selection, and Bash-only file operations for .opencode/ folders
Workflow pattern standards for creating multi-agent orchestrations including YAML frontmatter (name, description, tags, status, agents, parameters), execution phases (sequential/parallel/conditional), agent coo...
Workflow pattern standards for creating multi-agent orchestrations including YAML frontmatter (name, description, tags, status, agents, parameters), execution phases (sequential/parallel/conditional), agent coo...
Guidance for selecting appropriate AI model (sonnet vs haiku) based on task complexity, reasoning requirements, and performance needs. Use when implementing agents or justifying model selection.
Execute prompts from ./prompts/ directory with various AI models. Use when user asks to run a prompt, execute a task, delegate work to an AI model, run prompts in worktrees/tmux, or run prompts with verificatio...
Detect installed AI coding CLIs and local model providers; outputs a cached JSON inventory for routing (/detect-clis).
Check AI CLI usage/quota for Claude Code, OpenAI Codex, Google Gemini CLI, and Z.AI. Use when user asks about remaining quota, usage limits, rate limits, or wants to check how much capacity is left.
Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations
Get a specific vector entry by key. Requires authentication. Use for Agentuity cloud platform operations
Interactive task definition with Q&A and documentation.
Execute implementation tasks with different approaches (single, dual-agent, plan-based).
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。