AI & LLM Engineering · CrewAI · agentsope/SkillAlchemy

SOP for building multi-agent systems with CrewAI — role-based collaboration, sequential/hierarchical processes, Flows, memory, delegation.

agentsope/SkillAlchemy

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…

agentsope/SkillAlchemy

Tool skill — the first move in any LM-debugging session: dump the actual rendered prompt the framework sent to the model, before changing anything else.

agentsope/SkillAlchemy

Cross-framework enhancement overlay for choosing a multi-agent topology BEFORE writing any agent.

agentsope/SkillAlchemy

Enhancement overlay for multi-agent / tool-using coder agents.

agentsope/SkillAlchemy

Universal discipline for any LM-driven loop — agent retries, plan-act-observe, multi-agent handoffs, optimiser passes, test-fix cycles.

agentsope/SkillAlchemy

Decision protocol for wrapping a REST / GraphQL / RPC API as a tool an LLM agent can call.

agentsope/SkillAlchemy

Decision protocol for making side-effectful agent tools idempotent — so when an LLM tool call is retried (timeout, framework resume, user re-run, model duplicate emit), the second call is a no-op…

agentsope/SkillAlchemy

Decision protocol for managing the context/session state of an AI coding tool: when to /clear, when to keep context, and how to detect "context bleed" — the failure mode where stale conversation…

agentsope/SkillAlchemy

Decision protocol for the map-reduce / dynamic fan-out pattern in LM pipelines — "given list L, run f(item) for each item in parallel, then combine".

agentsope/SkillAlchemy