What role does CEL play in the Sync platform?

Common Expression Language (CEL) is used to define the logic for views (read capabilities) and conditions for actions (write capabilities), enabling complex state projections.

What types of authentication tokens does Sync use?

Sync uses three token types: Room tokens for full admin authority, Agent tokens for scoped identity/grants, and View tokens for read-only access.

What is the primary purpose of the Sync skill?

The Sync skill provides the specialized knowledge required to interact with the sync.parc.land API, which is designed for coordinating multiple AI agents within shared virtual rooms.

Can I use this skill with Model Context Protocol (MCP) tools?

Yes, this skill is designed to work alongside the sync MCP server, allowing you to use high-level tools like sync_lobby, sync_embody, and sync_read_context.

How does Sync handle state updates without a 'set_state' command?

Sync uses a declarative model where agents register 'actions' as write capabilities. State is modified by invoking these predefined actions rather than directly editing the state.

Sync Coordination Platform

Name: Sync Coordination Platform
Author: christopherdebeer

bychristopherdebeer

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Collaboration Tools

Facilitates seamless multi-agent coordination and state management through a declarative API for room-based collaboration.

This skill provides specialized knowledge for the sync.parc.land coordination API, a platform designed for multi-agent systems to share state, synchronize actions, and communicate in real-time. It enables developers and AI agents to create rooms, register custom actions and views using CEL expressions, and manage versioned key-value state with built-in conflict detection. Whether building collaborative AI workflows or decentralized agent systems, this skill guides the implementation of declarative protocols where the vocabulary itself becomes the coordination mechanism, ensuring robust interactions between autonomous agents.

Key Features

01Declarative action and view registration via Common Expression Language (CEL)

02Full compatibility with MCP tools for automated lobby management and agent embodiment

03Multi-agent room coordination with granular token-based authorization

04Versioned key-value state management with Compare-and-Swap (CAS) support

05Integrated messaging system with directed routing and blocking wait conditions

060 GitHub stars

Use Cases

01Developing decentralized protocols where agents declare write capabilities as actionable commitments

02Creating real-time collaborative dashboards and coordination rooms for AI-human workflows

03Building multi-agent autonomous systems that require shared state and task handoffs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add christopherdebeer/sync.parc.land sync

For use in Claude.ai and ChatGPT

Key Features

01Declarative action and view registration via Common Expression Language (CEL)

02Full compatibility with MCP tools for automated lobby management and agent embodiment

03Multi-agent room coordination with granular token-based authorization

04Versioned key-value state management with Compare-and-Swap (CAS) support

05Integrated messaging system with directed routing and blocking wait conditions

060 GitHub stars

Use Cases

01Developing decentralized protocols where agents declare write capabilities as actionable commitments

02Creating real-time collaborative dashboards and coordination rooms for AI-human workflows

03Building multi-agent autonomous systems that require shared state and task handoffs