claude

skillry-ai-and-agent-systems

Agent workflow design (LangChain, MCP servers, Copilot SDK), prompt systems and execution prompts, RAG/vector search, LLM evaluation, and free-model workers through OpenCode.

9 on GitHubby FluxonLabv3.4.1MITupdated 4 days ago
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Plugin skillry-ai-and-agent-systems from marketplace skillry in FluxonLab/Skillry. Commands read from the repo's manifest — 4 days ago.

What it installs

Skills (5)

  • free-model-workers

    Hand small, bounded jobs to free models through the OpenCode CLI as worker sub-agents: a written brief, an isolated folder, tools denied by default, and a lead who checks every result. Public or synthetic inputs only.

  • agent-workflow-design

    Design agent systems: roles, handoffs, tool boundaries, routing; LangGraph, Copilot SDK, MCP server scaffolds.

  • prompt-systems-review

    Prompts: write and review, safety and bias, hallucination risk, final execution prompts, AI studio prototypes.

  • rag-vector-search-review

    RAG and retrieval: chunking, embeddings, vector and hybrid search, ranking, grounding.

  • llm-evaluation-review

    LLM evals: rubrics, datasets, automated metrics, human review, regression checks.

View source on GitHub fluxonlab.com

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