byagentsope· 48 skills
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.
$npx -y skills add agentsope/skillalchemy --skill agentsop-framework-selectionInstalls into the current project.
Run `npx skills use "https://github.com/agentsope/skillalchemy" --skill "agentsope/skillalchemy/agentsop-framework-selection"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/agentsope/skillalchemy" that are relevant to the current task. Run `npx skills add "https://github.com/agentsope/skillalchemy"` and select the relevant skills, then follow their instructions.