GitHub
user-guides
Production-grade skill for creating comprehensive user guides, tutorials, step-by-step instructions, troubleshooting guides, and FAQ sections with quality metrics and validation.
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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。
分类目录: tools llm ai
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GitHub
sk
How to use the repo-scoped sk CLI to manage Claude Skills in this codebase.
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GitHub
learning-education
Create learning materials, explain concepts, generate quizzes and study aids. Use when asked to explain topics, create tutorials, generate practice questions, make flashcards, design curricula, or help study. T...
☆ 2查看技能
GitHub
research-intelligence
Extract insights, analyze claims, and synthesize knowledge from research content. Use when processing academic papers, articles, podcasts, videos, meeting transcripts, or any content where the goal is to extrac...
☆ 2查看技能
GitHub
critical-thinking
Analyze arguments, detect biases, evaluate claims, and improve reasoning. Use when asked to fact-check, identify logical fallacies, evaluate arguments, analyze predictions, find root causes, or think adversaria...
☆ 2查看技能
GitHub
tweaktune-synthesizer
Interactive assistant for designing and generating tweaktune pipelines to synthesize training data for LLMs. Use when user wants to create synthetic datasets for fine-tuning, generate conversations, function ca...
☆ 2查看技能
GitHub
decision-tracking
Architecture Decision Records (ADR) templates, sequential numbering, decision documentation patterns, and decision history management. Use when creating ADRs, documenting architectural decisions, tracking decis...
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GitHub
new-go-endpoint
This skill automates the API-first workflow for creating new Go API endpoints. It handles OpenAPI spec updates, code generation, SQLC query creation, handler implementation, and Redis caching patterns. Use when...
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GitHub
prompt-injection
Prompt injection attack prevention and defense
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GitHub
react-pattern
Reasoning and Acting patterns for agentic LLM workflows
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GitHub
prompt-templates
Reusable prompt templates for common tasks and optimization patterns
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GitHub
prompt-design
Core prompt design patterns and templates for effective LLM communication
☆ 2查看技能
GitHub
few-shot-prompting
Example-based prompting techniques for in-context learning
☆ 2查看技能
GitHub
fine-tuning
LLM fine-tuning and prompt-tuning techniques
☆ 2查看技能
GitHub
agent-design
AI agent design and tool-use prompting patterns
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GitHub
safety-guardrails
LLM safety guardrails and content moderation
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GitHub
multi-modal
Multi-modal prompting with vision, audio, and document understanding
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GitHub
rag-systems
Retrieval Augmented Generation systems with vector search, document processing, and hybrid retrieval.
☆ 2查看技能
GitHub
evaluation-metrics
LLM evaluation frameworks, benchmarks, and quality metrics for production systems.
☆ 2查看技能
GitHub
agent-frameworks
AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.
☆ 2查看技能
GitHub
llm-basics
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
☆ 2查看技能
GitHub
model-deployment
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
☆ 2查看技能
GitHub
prompt-engineering
Prompt design, optimization, few-shot learning, and chain of thought techniques for LLM applications.
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GitHub
coding-agent
Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
☆ 2查看技能
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。