crewAI Repository Analysis Prompt

repo analysisvery high Token Costadvanced

Prompt provenance

Inspired by crewAIInc/crewAI.

Reverse-engineered from real GitHub workflow.

Updated 2 weeks ago·0 copies

Reverse-engineer a multi-agent orchestration framework by tracing crews, agents, tasks, process modes, delegation tools, memory, context propagation, guardrails, events, tracing, and recovery controls.

What this solves

Multi-agent orchestration architecture review

Best used when

You need to understand how a multi-agent framework defines crews, agents, tasks, process modes, delegation tools, memory, and recovery controls.
You are reviewing handoff boundaries between role-based agents, tools, context windows, task outputs, human feedback, and event/tracing systems.
You want a source-grounded checklist for agent orchestration architecture before building or integrating a multi-agent product.

Avoid using when

You only need a generic comparison of agent frameworks.
You are reviewing a single-agent chat bot or CLI with no delegation, task graph, tool execution, memory, or orchestration layer.
You want to publish production prompt rows directly without maintainer review.

Prompt Variants

Use this when Claude has broad repo-reading access and should produce a structured, source-cited architecture review of a multi-agent orchestration framework.