Mlops
by @theheavenlyd3mon · plugin · 8 skills
Mlops from theheavenlyd3mon/hermes-profiles.
Install the whole plugin (CLI)
npx skillmds add theheavenlyd3mon/faiss
npx skillmds add theheavenlyd3mon/chroma
npx skillmds add theheavenlyd3mon/langchain
npx skillmds add theheavenlyd3mon/langgraph
npx skillmds add theheavenlyd3mon/huggingface-accelerate
npx skillmds add theheavenlyd3mon/llamaindex
npx skillmds add theheavenlyd3mon/pydanticai
npx skillmds add theheavenlyd3mon/dspySkills in this plugin
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- ▌ langchain · theheavenlyd3mon bundleExpert skill for building LLM applications with LangChain — LCEL chains, RAG pipelines, agent orchestration, LangGraph integration, LangSmith observability, and production deployment via LangServe. Use when working with LangChain or comparing LLM application frameworks.
- ▌ langgraph · theheavenlyd3mon bundleBuild multi-agent AI systems with LangGraph — the low-level orchestration framework for stateful, graph-based agent workflows. Covers supervisor, swarm, and hierarchical multi-agent patterns; subgraph composition; state management (checkpointers/stores); persistence; evals; and production debugging. Reach for this when designing agent architectures that need cycles, conditional branching, parallel execution, or human-in-the-loop patterns.
- ▌ huggingface-accelerate · theheavenlyd3mon bundleRun PyTorch training across GPUs with minimal changes.
- ▌ llamaindex · theheavenlyd3mon bundleExpert skill for building LLM applications with the LlamaIndex framework — RAG pipelines, multi-agent orchestration, event-driven workflows, knowledge graph construction, production deployment, and evaluation. Use when working with LlamaIndex or comparing RAG and agent orchestration frameworks.
- ▌ pydanticai · theheavenlyd3mon bundleBuild type-safe AI agents and graph-based workflows with PydanticAI and PydanticGraph. Agent creation, function tools, capabilities, dependency injection, structured output, streaming, multi-agent patterns, testing, evals, and graph state machines. Use whenever you are building agents, tool-using LLM workflows, or graph-based state machines in Python.
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