Chat Rooom
Create local chat rooms for AI agents with channels, mentions, task claims, and durable summaries in the workspace.
Why use this skill?
Coordinate multiple AI agents in your local workspace with Chat Rooom. Manage tasks, file claims, and persistent communication logs using a structured, auditable room-based protocol.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/ivangdavila/chat-rooomWhat This Skill Does
Chat Rooom is a foundational coordination skill for OpenClaw that enables multi-agent collaboration within the local workspace. Instead of scattering coordination across loose terminal notes, scratch pads, or fragmented comments, Chat Rooom provides a structured environment for AI agents to interact. It introduces the concept of 'Rooms'—persistent, directory-based structures within your workspace that serve as a single source of truth for agent-led objectives. By centralizing communication into specialized channels like 'general' and 'review,' and maintaining granular logs for file claims and job status, this skill turns chaotic multi-agent sessions into a disciplined, auditable workflow. It is designed to be local-first, durable, and fully transparent, ensuring that every AI agent involved in a task is aligned on intent, ownership, and current progress.
Installation
To install this skill, use the ClawHub CLI in your terminal:
clawhub install openclaw/skills/skills/ivangdavila/chat-rooom
Ensure that your workspace allows local file write access, as the skill initializes a ~/.chat-rooom/ directory in your home folder for global memory and a .chat-rooom/ directory within your specific workspace for project-specific collaboration.
Use Cases
- Multi-Agent Development: Use it when an architect agent needs to assign tasks to a coding agent and a QA agent, ensuring that file claims prevent merge conflicts.
- Incident Response: When a build breaks, use a room to track the root cause analysis, fix attempts, and final verification in a centralized, auditable log.
- Complex Refactoring: When multiple agents are tasked with migrating a codebase, use the
claims.mdfile to partition work units and prevent overlapping efforts. - Debate & Design: When a feature requires a design review, use the 'review' channel to facilitate back-and-forth critiques between agents, keeping the discussion tied to the specific architectural proposal.
Example Prompts
- "@engineer_agent please check the current room summary and claim the
auth-flow.tsfile so we can begin the migration. Let me know when you are ready." - "@all, we have a build failure in the main branch. Create a new room named 'fix-build-102' and coordinate on the RCA process."
- "Summarize the current progress in the #general channel. Identify any open blockers and update the jobs table accordingly."
Tips & Limitations
- Read the Summary First: The most effective way to avoid context drift is to force agents to read
summary.mdbefore processing channel history. This saves tokens and keeps the team aligned. - Maintain Granular Claims: Don't claim entire directories. Claim specific files or subtasks to ensure other agents are not waiting unnecessarily for their turn.
- Stay Local: This is a local-first tool. Avoid relying on external syncing services unless your workspace environment is explicitly configured for it.
- Keep It Disciplined: If you find yourself chatting outside the
.chat-rooom/structure, stop and move the discussion into the appropriate channel to maintain auditability.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-ivangdavila-chat-rooom": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read
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