agent-collaboration

Standardize cross-agent collaboration with TEAM ROOT paths and decision inbox files.

2|Updated Apr 21, 2026
One-click install
npx skills add https://github.com/elbruno/md-to-slides --skill agent-collaboration-elbruno
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-collaboration
Source: https://github.com/elbruno/md-to-slides/tree/main/.copilot/skills/agent-collaboration
Command: npx skills add https://github.com/elbruno/md-to-slides --skill agent-collaboration-elbruno

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates duplicated collaboration boilerplate across agents by standardizing how they track worktrees, record decisions, and request help during a multi-agent workflow.

Core Features & Use Cases

  • Worktree Awareness: Ensures all agent paths are rooted to TEAM ROOT, avoiding incorrect working-directory assumptions.
  • Decision Recording: Writes cross-team-impact decisions into a consistent inbox drop-box format under .squad/decisions/inbox/.
  • Cross-Agent Communication: Coordinates reviewer and collaborator interactions without stepping outside each agent’s domain.
  • Reviewer Protocol: Defines safe revision ownership when reviewers reject work to prevent locked artifacts from being edited by the original author.

Quick Start

Ask the agent to write a decision after it impacts other members, following the inbox file naming and decision markdown format, using TEAM ROOT for all .squad paths.

Frequently Asked Questions about agent-collaboration

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

FAQPage Schema
How do I track decisions across multiple AI agents in a squad workflow?

To track decisions across multiple agents, you standardize recording by writing markdown files to a shared inbox at .squad/decisions/inbox/. This ensures cross-agent communication and rationale are consistently documented.

What is the best way to prevent working directory conflicts during multi-agent collaboration?

Prevent working directory conflicts by enforcing worktree awareness, which roots all agent paths to a shared TEAM ROOT. This avoids incorrect working-directory assumptions when multiple agents operate simultaneously.

How do I manage reviewer ownership when an agent's work is rejected?

Manage reviewer ownership by following a strict reviewer protocol that defines safe revision ownership. This prevents locked artifacts from being edited by the original author after rejection.

Can I use this to coordinate help requests between autonomous agents?

Yes, you can coordinate help requests between autonomous agents by standardizing cross-agent communication. Agents request help and document dependencies without stepping outside each agent's domain.

What format should agent decisions use when impacting other team members?

Decisions impacting other team members should use a specific markdown schema. Files must be named {your-name}-{brief-slug}.md and dropped into the .squad/decisions/inbox/ directory for consistent processing.

Why do I need to standardize collaboration boilerplate for AI agents?

You need to standardize collaboration boilerplate to eliminate duplicated effort across agents. This ensures consistent worktree tracking, decision recording, and help requests during multi-agent workflows.