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devops llm ai AI Skills

Discover devops llm ai skills, compare source repositories and read the instructions for each workflow.

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defense-in-depth

yonatangross

Use when building secure AI pipelines or hardening LLM integrations. Defense-in-depth implements 8 validation layers from edge to storage with no single point of failure.

GitHub

langgraph-supervisor

yonatangross

LangGraph supervisor-worker pattern. Use when building central coordinator agents that route to specialized workers, implementing round-robin or priority-based agent dispatch.

GitHub

explore

yonatangross

Deep codebase exploration with parallel specialized agents. Use when exploring a repo, finding files, or discovering architecture with the explore agent.

GitHub

agent-loops

yonatangross

Agentic workflow patterns for autonomous LLM reasoning. Use when building ReAct agents, implementing reasoning loops, or creating LLMs that plan and execute multi-step tasks.

GitHub

langgraph-functional

yonatangross

LangGraph Functional API with @entrypoint and @task decorators. Use when building workflows with the modern LangGraph pattern, enabling parallel execution, persistence, and human-in-the-loop.

GitHub

mcp-server-building

yonatangross

Building MCP (Model Context Protocol) servers for Claude extensibility. Use when creating MCP servers, building custom Claude tools, extending Claude with external integrations, or developing tool packages for...

GitHub

prompt-caching

yonatangross

Provider-native prompt caching for Claude and OpenAI. Use when optimizing LLM costs with cache breakpoints, caching system prompts, or reducing token costs for repeated prefixes.

GitHub

embeddings

yonatangross

Text embeddings for semantic search and similarity. Use when converting text to vectors, choosing embedding models, implementing chunking strategies, or building document similarity features.

GitHub

advanced-guardrails

yonatangross

LLM guardrails with NeMo, Guardrails AI, and OpenAI. Input/output rails, hallucination prevention, fact-checking, toxicity detection, red-teaming patterns. Use when building LLM guardrails, safety checks, or re...

GitHub

load-context

yonatangross

Auto-load relevant memories at session start from both mem0 and graph. Use when you need session context restored or preloaded.

GitHub

langgraph-checkpoints

yonatangross

LangGraph checkpointing and persistence. Use when implementing fault-tolerant workflows, resuming interrupted executions, debugging with state history, or avoiding re-running expensive operations.

GitHub

contextual-retrieval

yonatangross

Anthropic's Contextual Retrieval technique for improved RAG. Use when chunks lose context during retrieval, implementing hybrid BM25+vector search, or reducing retrieval failures.

GitHub

reranking-patterns

yonatangross

Reranking patterns for improving search precision. Use when implementing cross-encoder reranking, LLM-based relevance scoring, or improving retrieval quality in RAG pipelines.

GitHub

ollama-local

yonatangross

Local LLM inference with Ollama. Use when setting up local models for development, CI pipelines, or cost reduction. Covers model selection, LangChain integration, and performance tuning.

GitHub

recall

yonatangross

Search and retrieve decisions and patterns from knowledge graph. Use when recalling patterns, retrieving memories, finding past decisions.

GitHub

context-compression

yonatangross

Use when conversation context is too long, hitting token limits, or responses are degrading. Compresses history while preserving critical information using anchored summarization and probe-based validation.

GitHub

design-brief-generator

jamesrochabrun

Generate comprehensive design briefs for design projects. Use this skill when designers ask to "create a design brief", "structure a design project", "define design requirements", or need help planning design w...

GitHub

anthropic-architect

jamesrochabrun

Determine the best Anthropic architecture for your project by analyzing requirements and recommending the optimal combination of Skills, Agents, Prompts, and SDK primitives.

GitHub

openai-prompt-engineer

jamesrochabrun

Generate and improve prompts using best practices for OpenAI GPT-5 and other LLMs. Apply advanced techniques like chain-of-thought, few-shot prompting, and progressive disclosure.

GitHub

git-worktrees

jamesrochabrun

Manage Git worktrees for parallel Claude Code development. Use this skill when engineers ask to "create a worktree", "run parallel Claude sessions", "work on multiple features simultaneously", or need help with...

GitHub

content-brief-generator

jamesrochabrun

Generate comprehensive content briefs for writers, ensuring clarity, alignment, and strategic content creation across all formats.

GitHub

anthropic-prompt-engineer

jamesrochabrun

Master Anthropic's prompt engineering techniques to generate new prompts or improve existing ones using best practices for Claude AI models.

GitHub

query-expert

jamesrochabrun

Master SQL and database queries across multiple systems. Generate optimized queries, analyze performance, design indexes, and troubleshoot slow queries for PostgreSQL, MySQL, MongoDB, and more.

GitHub

engineer-skill-creator

jamesrochabrun

Transform extracted engineer expertise into an actionable skill with progressive disclosure, allowing agents to find and apply relevant patterns for specific tasks.

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.

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