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how-to-create-claude-code-skill
A guide to creating Claude Code Skills.
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research llm ai AI Skills
Discover research llm ai skills, compare source repositories and read the instructions for each workflow.
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skill-frontmatter-optimizer
Analyze and optimize skill frontmatter for reliable automatic invocation. Use this skill when: (1) improving an existing skill's description for better triggering, (2) diagnosing why a skill isn't being invoked...
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skill-creator
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 Claude's capabilities with specialized knowledge, workflows, or to...
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langgraph-development
专业的LangGraph AI应用开发技能，提供从概念到生产的完整开发指导。基于Context7最新调研，涵盖StateGraph设计、多代理协作、RAG系统实现、生产部署等核心场景。使用此技能构建有状态、多参与者、长期运行的AI代理应用。
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toolfs-skill
Execute WASM-based skills mounted to virtual paths. Use this skill when the user requests skill execution such as "Execute the RAG skill", "Run the analytics skill", or "Call the skill at this path".
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prompt-engineering
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...
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prompt-optimizer
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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name
{ { description } }
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agnostic-prompt-standard
The reference framework to generate, compile, and lint greenfield prompts that conform to the Agnostic Prompt Standard (APS) v1.0.
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skill-writer
Create and manage reusable agent skills with proper structure and frontmatter
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agent-documenting-references
Standardized reference documentation section structure for agents - project guidance, conventions, related agents, and Skills. Use when implementing or updating agent documentation.
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agent-developing-agents
AI agent development standards including frontmatter structure, naming conventions, tool access patterns, model selection, and Bash-only file operations for .opencode/ folders
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repo-defining-workflows
Workflow pattern standards for creating multi-agent orchestrations including YAML frontmatter (name, description, tags, status, agents, parameters), execution phases (sequential/parallel/conditional), agent coo...
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workflow-name
Workflow pattern standards for creating multi-agent orchestrations including YAML frontmatter (name, description, tags, status, agents, parameters), execution phases (sequential/parallel/conditional), agent coo...
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agent-selecting-models
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.
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prompt-executor
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...
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cli-detector
Detect installed AI coding CLIs and local model providers; outputs a cached JSON inventory for routing (/detect-clis).
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ai-usage
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.
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agentuity-cli-cloud-vector-search
Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations
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agentuity-cli-cloud-vector-get
Get a specific vector entry by key. Requires authentication. Use for Agentuity cloud platform operations
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task-definition
Interactive task definition with Q&A and documentation.
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implementation
Execute implementation tasks with different approaches (single, dual-agent, plan-based).
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clarify-spec
AKTIVIERT SICH AUTOMATISCH bei vagen Auftraegen. LIEBER EINMAL ZU OFT NACHFRAGEN als falsch implementieren. Erkennungsmerkmale (EINES genuegt!): - Auftrag
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GitHub
prompt-architect
Transformiert Anforderungen in Best-Practice Prompts nach Claude 4.x Standards (Dezember 2025). Basiert auf: - Nate B. Jones 4 Beginner Moves: Shape, Context, Silent Plan, Self-Check - Anthropic Claude 4.x Bes...
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.