🦀 ClawHub
Crewai Multi Agent
by @tangweigang-jpg
CrewAI 多智能体框架:role-goal-backstory 声明智能体,sequential / hierarchical 双流程,ReAct 与 OpenAI native function-calling 双 tool 循环,统一 Memory + 5 个原生 LLM provider + Lit C...
TERMINAL
clawhub install crewai-multi-agent📖 About This Skill
name: crewai-multi-agent description: |- CrewAI 多智能体框架:role-goal-backstory 声明智能体,sequential / hierarchical 双流程,ReAct 与 OpenAI native function-calling 双 tool 循环,统一 Memory + 5 个原生 LLM provider + Lit CrewAI multi-agent framework: role-goal-backstory agent declaration, sequential / hierarchical execution processes, dual tool-call loops (ReAct + OpenAI native function-calling), unified Memory layer, 5 native LLM providers + LiteLLM fallback. license: MIT-0 compatibility: AI engineering knowledge skill — host AI consumes seed.yaml directly. No installation required. metadata: version: "v0.1.0" blueprint_id: "finance-bp-134" blueprint_source: "joaomdmoura/crewAI" blueprint_commit: "cb46a1c4babef8c51db6499d7a81f2c36b01bdef" category: ai-engineering doramagic_url: "https://doramagic.ai/zh/crystal/crewai-multi-agent" openclaw: skillKey: crewai-multi-agent category: ai-engineering primaryEnv: knowledge
这个 skill 适合什么用户?能做哪些任务?
概览
CrewAI 是构建多智能体 LLM 应用的 Python 框架(github.com/joaomdmoura/crewAI)。核心特征:role-goal-backstory 智能体声明,两种执行流程(sequential / hierarchical 含 auto- 或自定义 manager),双 tool-call 循环(ReAct 文本解析 vs OpenAI 原生 function-calling,运行时特征探测选择),统一 Memory 层(Memory + MemorySlice + RecallFlow,自适应深度召回),可插拔 LLM provider 路由(5 个原生 SD...
Doramagic 晶体页: https://doramagic.ai/zh/crystal/crewai-multi-agent
知识规模
joaomdmoura/crewAI @ commit cb46a1c4finance-bp-134用法
Host AI(Claude Code / Cursor / OpenClaw)读 references/seed.yaml,按其中的:
intent_router 匹配用户意图architecture 理解项目架构constraints 应用 anti-pattern 约束business_decisions 参考核心设计决策FAQ 摘要
这个 skill 适合什么用户?能做哪些任务?
适合需要多 agent 协作完成复杂任务的工程师:研究 + 写作 + 校对、数据采集 + 分析 + 报告、销售线索挖掘 + 跟进等。两种流程满足不同需求:sequential 适合明确流水线,hierarchical 适合需要 manager 调度的开放任务。访问 doramagic.ai/r/crewai 查看完整用例。需要准备什么环境?依赖什么?
Python(版本见 pyproject.toml),至少一个 LLM provider(Memory 默认 OpenAI gpt-4o-mini;Crew agent 各自挑 llm)。Memory 启用时默认 OpenAIEmbeddingFunction 嵌入 + lancedb 向量库。如需走非原生 SDK 模型,安装 LiteLLM。空气墙 / 数据驻留场景必须 ENV 关闭遥测。会踩哪些坑?这个 skill 怎么防护?
本 skill 内置 56 条约束(5 条 fatal)。典型踩坑:(1) aggregate_raw_outputs_from_task_outputs 无 token cap,长任务链溢出 LLM 上下文;(2) tool 重复使用检测只比 last_used_tool,A→B→A→B 振荡漏检;完整文档: 见 references/seed.yaml (v6.1 schema). 浏览页: https://doramagic.ai/zh/crystal/crewai-multi-agent