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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 Skills
Discover tools llm ai skills, compare source repositories and read the instructions for each workflow.
Categories: tools llm ai
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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...
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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...
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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...
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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...
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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
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GitHub
few-shot-prompting
Example-based prompting techniques for in-context learning
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GitHub
fine-tuning
LLM fine-tuning and prompt-tuning techniques
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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.
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GitHub
evaluation-metrics
LLM evaluation frameworks, benchmarks, and quality metrics for production systems.
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GitHub
agent-frameworks
AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.
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GitHub
llm-basics
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
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GitHub
model-deployment
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
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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.
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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.