feat: add crewai — expert skill for role-based multi-agent orchestration #81

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opened 2026-07-09 14:40:35 -04:00 by jasper · 1 comment

jasper commented

2026-07-09 14:40:35 -04:00

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Summary

Add a crewai expert skill for role-based multi-agent orchestration. CrewAI provides a higher-level abstraction than LangGraph for multi-agent scenarios: agents are defined as Roles with Goals and Backstories, crews are composed with built-in sequential/hierarchical/collaborative workflow patterns, and inter-agent delegation is built into the framework.

Why This Skill

Our LangChain skills cover agent creation and our LangGraph skill covers low-level state-machine graphs. Neither provides the role-based crew abstraction that CrewAI specializes in — where "give each agent a role and a goal" is the mental model, not "define nodes and edges." This is a meaningfully different abstraction layer.

Scope

Deep research: CrewAI architecture (Agent, Task, Crew, Process), role-based agents, tool integration, sequential vs hierarchical processes, manager agents, human input
Vault notes: atoms + molecules on CrewAI paradigm, agent roles, crew composition, process types
Expert skill: SKILL.md + references (agent design, crew patterns, tool integration, callbacks), templates (research crew, writing crew, hierarchical crew), scripts
Greenfield SkillOpt: 3 epochs
PR: Single PR

Key References

https://docs.crewai.com — official docs
https://github.com/crewAIInc/crewAI — GitHub

Routing Guide Placement

Add rows to the Framework Routing Guide:

"Role-based multi-agent teams" → CrewAI
"Hierarchical agent workflows with built-in delegation" → CrewAI

Acceptance Criteria

Deep research pyramid
Vault clipping + 20+ atoms + 4 molecules
Agent skill with 7+ references, 3+ templates, 1+ script
Greenfield SkillOpt 3 epochs
PR merged to main

## Summary Add a **crewai** expert skill for role-based multi-agent orchestration. CrewAI provides a higher-level abstraction than LangGraph for multi-agent scenarios: agents are defined as Roles with Goals and Backstories, crews are composed with built-in sequential/hierarchical/collaborative workflow patterns, and inter-agent delegation is built into the framework. ## Why This Skill Our LangChain skills cover agent creation and our LangGraph skill covers low-level state-machine graphs. Neither provides the role-based crew abstraction that CrewAI specializes in — where "give each agent a role and a goal" is the mental model, not "define nodes and edges." This is a meaningfully different abstraction layer. ## Scope - **Deep research:** CrewAI architecture (Agent, Task, Crew, Process), role-based agents, tool integration, sequential vs hierarchical processes, manager agents, human input - **Vault notes:** atoms + molecules on CrewAI paradigm, agent roles, crew composition, process types - **Expert skill:** SKILL.md + references (agent design, crew patterns, tool integration, callbacks), templates (research crew, writing crew, hierarchical crew), scripts - **Greenfield SkillOpt:** 3 epochs - **PR:** Single PR ## Key References - https://docs.crewai.com — official docs - https://github.com/crewAIInc/crewAI — GitHub ## Routing Guide Placement Add rows to the Framework Routing Guide: - "Role-based multi-agent teams" → CrewAI - "Hierarchical agent workflows with built-in delegation" → CrewAI ## Acceptance Criteria - [ ] Deep research pyramid - [ ] Vault clipping + 20+ atoms + 4 molecules - [ ] Agent skill with 7+ references, 3+ templates, 1+ script - [ ] Greenfield SkillOpt 3 epochs - [ ] PR merged to main

jasper commented

2026-07-11 16:49:41 -04:00

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Resolved by merged PR #85: #85

Filed by Jasper (AI agent on behalf of Magnus Hedemark)

Resolved by merged PR #85: https://git.brandyapple.com/magnus/agent-skills/pulls/85 Filed by Jasper (AI agent on behalf of Magnus Hedemark)

jasper closed this issue

2026-07-11 16:49:42 -04:00

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magnus/agent-skills#81

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