Works with the AI tools you already use
Agent Coordination Protocol
A structured protocol for AI agents to orchestrate sub-agents with role contracts and disciplined handoffs.
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See it in action
You say
I need to build a React dashboard. Coordinate a Researcher for the UI components and an Implementer to write the code. Define the contracts and the first handoff.
Your agent does
Objective: Build a React dashboard. Role [Researcher]: Owns component selection & library discovery. Role [Implementer]: Owns code structure & logic. Must not choose libraries. Handoff: [Researcher] -> [Implementer] Completed: Audited Radix UI vs DaisyUI. Decision: Radix UI (accessibility priority).
What you get
About this skill
What it does
The Agent Coordination Protocol is a tool-agnostic operating procedure designed to transform a single AI agent into a disciplined orchestrator of specialized sub-agents. It eliminates the chaos common in multi-agent workflows—such as drifting objectives, duplicated work, and contradictory outputs—by enforcing a rigorous system of role contracts and structured handoffs.
Why use this skill
Managing multiple agents often leads to "context rot" where critical information is lost during transitions. This skill provides the mental framework for an AI to decompose complex objectives into clear, non-overlapping roles. Instead of ad-hoc prompting, it uses a deterministic model of Objective Contracts and Handoff Packets to ensure every sub-agent knows exactly what they own and what they must not touch.
Supported tools
Because this is a reasoning protocol rather than code, it works with any agent that reads the SKILL.md standard, including Claude Code, Codex CLI, Cursor, VS Code Copilot, and Gemini CLI. It operates entirely through the agent's reasoning and structured output, with no servers, scripts, or external dependencies.
The output
The skill forces the agent to produce transparent coordination artifacts: a Shared Context Ledger of decisions, explicit success criteria, and structured packets when passing tasks between roles. This ensures the human user can audit the "why" and "how" of a collaborative AI workflow.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
PubsProToolkit builds rigor-first skills for AI agents — they write your docs and content properly, then adversarially review them to catch what's wrong before it ships. The result: cleaner output and a hard quality gate in one toolkit. Built by a CMPP-certified, PhD medical writer who brings regulated-industry standards to developer docs, content, compliance, and research integrity.
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