Verified:GitHub

ai-collaboration-workflow

Define human-developer and AI coding collaboration workflows with validation and handoff outputs.

Updated May 19, 2026

Search Tags:#code review #collaboration #agent workflow #scope control #patch notes #handoff documentation #serial skill generation

Ready to run

npx skills add https://github.com/zxc1a1a1/Multi_Agent-AgentHub --skill ai-collaboration-workflow-zxc1a1a1

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-collaboration-workflow
Source: https://github.com/zxc1a1a1/Multi_Agent-AgentHub/tree/main/.agents/skills/ai-collaboration-workflow
Command: npx skills add https://github.com/zxc1a1a1/Multi_Agent-AgentHub --skill ai-collaboration-workflow-zxc1a1a1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

该 Skill 用于规范人类开发者与 AI 编程代理在 AgentHub 项目中的协作方式，降低范围失控、阶段错判、交接不清导致的返工与不可追溯风险。

Core Features & Use Cases

阶段识别与约束边界：根据用户本轮上下文识别当前阶段，并避免把历史阶段规则错误当作当前限制。
范围锁定与计划先行：在执行前明确允许修改与禁止事项，复杂任务先给可执行计划，再进行步骤化交付。
交付可验证与可交接：输出前包含验证与 Review 检查点，并在交接中清晰说明产物位置、包内文件清单、主要改动与后续建议。

Use Case：当你要让 AI 参与 Sprint 迭代、串行重构某个 Skill、输出文件包（含 MANIFEST 与 PATCH_NOTES）、对修改结果进行 Review 或整理交接文档时，使用该 Skill 来保证协作过程可控、可审计、可落地。

Quick Start

请直接把你本轮的 Goal、Scope、Context、Constraints 和期望输出方式发给 AI，并要求它按 ai-collaboration-workflow 的流程给出计划、修改范围确认以及交付与交接材料。

Frequently Asked Questions about ai-collaboration-workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I manage AI coding workflow scope to prevent uncontrolled changes and rework?▼

To manage AI coding workflow scope, you must define allowed and prohibited modifications upfront. This approach locks the scope, requires executable plans before step-wise delivery, and prevents rework from uncontrolled edits.

What is the best way to structure handoff documentation for AI agent code review?▼

The best way to structure handoff documentation for AI agent code review is to include clear manifests, patch notes, output file locations, and main changes. This ensures the delivery is verifiable and traceable.

How does serial skill generation work for refactoring tasks?▼

Serial skill generation works by supporting one-Skill-at-a-time generation to satisfy independence and scope constraints. It applies phase identification to ensure historical rules do not block current modifications.

Can I use this collaboration workflow for Sprint iteration planning with AI?▼

Yes, you can use this collaboration workflow for Sprint iteration planning with AI. It applies to requirement analysis, serial Skill refactoring, and planning to ensure the process remains controllable and auditable.

Why does AI apply incorrect phase constraints during requirement analysis?▼

AI applies incorrect phase constraints when it misidentifies the current phase and treats historical stage rules as active limitations. Identifying the phase based on current context prevents this boundary error.