GitHub
manufacturer-agent
Web-augmented agent for creating manufacturer skills and comprehensive tests. Use when adding or improving support for a manufacturer handler.
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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。
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GitHub
workers-ai
This skill should be used when the user asks about "Workers AI", "AI models", "text generation", "embeddings", "semantic search", "RAG", "Retrieval Augmented Generation", "AI inference", "LLaMA", "Llama", "bge...
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GitHub
writing-skills
Use when creating, editing, evaluating, testing, or verifying ANY skill or skill-related file (SKILL.md, skill resources, skill scripts, or skill assets). If you're asked to evaluate or test a skill's effective...
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GitHub
identifying-skill-gaps
Use when analyzing Claude Code conversation logs to find patterns in repeated user instructions that could become skills. Ask for date range first.
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GitHub
deep-research
Use when user requests research requiring multiple sources, comprehensive analysis, or synthesis across topics - technical research, domain knowledge gathering, market analysis, or learning about complex subjec...
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GitHub
working-with-ms-agent-framework
Use when building AI agents with Microsoft Agent Framework (Semantic Kernel + AutoGen unified); when implementing memory or context providers; when threads won't deserialize; when workflow checkpointing fails;...
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GitHub
subagent-builder
Create and configure custom subagents in Claude Code. Use when user asks to create a new subagent, needs specialized AI assistance with specific tool restrictions or permissions, implements task-specific workfl...
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GitHub
slash-command-creator
This skill should be used when users want to create custom slash commands for Claude Code. It guides the creation of project-specific or personal slash commands with proper frontmatter, argument handling, and C...
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GitHub
exact-folder-name
Use when writing new skills, creating skill directories, confused about skill creation, unsure about naming conventions, need help with activation descriptions, want to avoid common mistakes, skill not triggeri...
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GitHub
brand-identity
Provides the single source of truth for brand guidelines, design tokens, technology choices, and voice/tone. Use this skill whenever generating UI components, styling applications, writing copy, or creating use...
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GitHub
creating-skills
Generates high-quality, predictable, and efficient .agent/skills/ directories based on user requirements. Use when the user asks to create a new skill.
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GitHub
notion-spec-to-implementation
Turns product or tech specs into concrete Notion tasks that Claude code can implement. Breaks down spec pages into detailed implementation plans with clear tasks, acceptance criteria, and progress tracking to g...
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GitHub
mcp-builder
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...
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GitHub
request-optimizer
Intelligent request analysis and routing system. Analyzes incoming requests, calculates complexity, and routes to appropriate resources (27 agents, 27 skills, 14 MCPs). Acts as the gateway for the entire Claude...
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GitHub
content-research-writer
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from s...
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GitHub
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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GitHub
skill-writer
Universal guide for creating well-structured Agent Skills for any technology or domain. Use when creating, writing, authoring, or designing a new Skill. Triggers on requests involving SKILL.md files, skill stru...
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GitHub
unsloth-finetuning
Fine-tune LLMs 2x faster with 80% less memory using Unsloth. Use when the user wants to fine-tune models like Llama, Mistral, Phi, or Gemma. Handles model loading, LoRA configuration, training, and model export...
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GitHub
superbpe
Train and use SuperBPE tokenizers for 20-33% token reduction across any project. Covers training, optimization, validation, and integration with any LLM framework. Use when you need efficient tokenization, want...
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GitHub
unsloth-tokenizer
Analyze, compare, and work with tokenizers using Unsloth tools. Compare different tokenizers, analyze token efficiency, and integrate with Unsloth models. For SuperBPE training, see the 'superbpe' skill.
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GitHub
model-deployment
Export and deploy fine-tuned models to production. Covers GGUF/Ollama, vLLM, HuggingFace Hub, Docker, quantization, and platform selection. Use after fine-tuning when you need to deploy models efficiently.
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GitHub
adaptive-workflows
Self-learning workflow system that tracks what works best for your use cases. Records experiment results, suggests optimizations, creates custom templates, and builds a personal knowledge base. Use to learn fro...
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GitHub
dataset-engineering
Create, clean, and optimize datasets for LLM fine-tuning. Covers formats (Alpaca, ShareGPT, ChatML), synthetic data generation, quality assessment, and augmentation. Use when preparing data for training.
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GitHub
helloworld
A minimal example SKILL for OpenCode. When executed it simply returns the string "Hello, OpenCode!". This can be used to test SKILL loading and execution.
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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。