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agentsop-framework-selection

Neutral, framework-agnostic decision tree for project kickoff: "which agent / RAG / LLM framework should I reach for?" Synthesizes the ecosystem sections of 7 landmark-project SOPs (LangGraph, LlamaIndex, DSPy, CrewAI, vLLM, Aider, Dify) into one layered rubric. Core stance: frameworks are LAYERS, not competitors — a real project usually combines DSPy (compile) + LlamaIndex (retrieve) + LangGraph (orchestrate) + vLLM (serve), and you choose ONE per layer, not one to rule all. Use when starting any LLM/agent/RAG project, or whenever the "which framework?" question is asked. Deliberately neutral — unlike vendor docs and the LangChain-biased `framework-selection` on skill.sh, this skill has no horse in the race.

skills/agentsop-framework-selection/SKILL.md

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Oct 24, 2026
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# Framework-Fit Decision Tree at Project Kickoff · SOP (ENHANCE overlay)

> Overlay posture: this is the **capstone** Phase-D skill — the most-cited entry
> at any project kickoff. It decides *which layer(s) you need* and *which
> framework owns each layer*. It does **not** teach any framework's API; for that,
> descend to the per-framework SOPs (`langgraph-sop`, `llamaindex-sop`,
> `dspy-sop`, `crewai-sop`, `vllm-sop`, `aider-sop`, `dify-sop`). Every
> load-bearing claim carries an inline source tag resolving in
> `references/R1-decision-tree.md`.
>
> Neutrality note: vendor pages each claim the center of the universe
> (LangChain: "use LangGraph for production"; LlamaIndex: "the document agent
> platform"; Dify: "scaffolding is the bottleneck"). This skill quotes those
> claims but does not adopt any of them. The 7 SOPs *disagree* on the crossover