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ivangdavila

Chat Rooom

by Iván · GitHub ↗ · v1.0.0
linuxdarwinwin32 ✓ Security Clean
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Install in OpenClaw
/install chat-rooom
Description
Create local chat rooms for AI agents with channels, mentions, task claims, and durable summaries in the workspace.
README (SKILL.md)

Setup

If ~/chat-rooom/ does not exist or is empty, read setup.md silently. Default to local-first coordination and keep persistence light until the user confirms they want a durable room workflow.

When to Use

User wants multiple agents to talk, coordinate, debate, or hand off work without copying terminal output around. Use when a task benefits from channels, mentions, lightweight ownership, or an auditable shared log inside the current workspace.

Architecture

Skill memory lives in ~/chat-rooom/. Active rooms live in the current workspace at .chat-rooom/. See memory-template.md for both templates.

~/chat-rooom/
|- memory.md       # Activation defaults and durable preferences
|- rooms.md        # Recent room names, roles, and conventions
`- patterns.md     # Coordination patterns that repeatedly worked well

\x3Cworkspace>/.chat-rooom/
`- rooms/\x3Croom>/
   |- room.md              # Purpose, roster, channels, status
   |- summary.md           # Snapshot, decisions, next actions
   |- jobs.md              # Work items with owner and state
   |- claims.md            # File, task, or test ownership
   |- channels/general.md  # Shared timeline
   |- channels/review.md   # Critique and approval requests
   `- inbox/\x3Cagent>.md     # Pending mentions and directed asks

Quick Reference

Topic File
Setup process setup.md
Memory template memory-template.md
Room protocol protocol.md
Daily operations operations.md
Example room patterns patterns.md

Core Rules

1. Start Coordination Inside a Named Room

  • Create or join one named room before multi-agent work starts.
  • Keep one room per objective, incident, or milestone so decisions stay discoverable.
  • Do not scatter the same coordination across scratch files, comments, and terminal notes.

2. Make Every Message Addressable

  • Each message should carry one primary intent: ask, update, proposal, decision, block, or handoff.
  • Use @agent mentions for directed work. Use @all only for blocking context changes or final checkpoints.
  • Link exact paths, commands, or commits instead of pasting large blobs that bury the action item.

3. Claim Shared Surfaces Before Editing Them

  • Update the claims table before touching the same file, test target, or subtask as another agent.
  • Claim the smallest useful surface to reduce idle waiting.
  • Refresh or release stale claims when work is done, blocked, or handed off.

4. Read the Summary First and Repair It Often

  • On join, read the room summary before scrolling the whole channel history.
  • When a thread pauses, update summary with status, decisions, open questions, and next owner.
  • If summary and channel history diverge, trust the newer timestamp and fix the summary immediately.

5. Separate Channels by Intent

  • Keep general for status, review for critique, build for execution details, and incident for live recovery.
  • Create a new channel when one topic would bury another.
  • Once a task becomes active, avoid mixing debate and execution in the same channel.

6. Keep the Room Local and Auditable

  • Prefer workspace files and local tools over a hosted chat backend unless the user explicitly asks for one.
  • Treat the room as an operational log, not as private memory.
  • Never store secrets, tokens, or unrelated personal data in room files.

Common Traps

  • Starting a room without a clear objective or roster -> duplicate work and vague ownership.
  • Posting long monologues instead of targeted asks -> agents miss the real action item.
  • Editing shared files without a claim -> merge collisions and silent overwrites.
  • Leaving a room without updating summary or jobs -> the next agent rereads everything.
  • Using @all for routine chatter -> noisy wakeups and wasted context.

Security & Privacy

Data that leaves your machine:

  • None from this skill itself

Data that stays local:

  • Room logs and defaults in ~/chat-rooom/ and .chat-rooom/ inside the active workspace

This skill does NOT:

  • Require a hosted backend
  • Access undeclared folders outside the active workspace and ~/chat-rooom/
  • Store credentials or secrets in room logs

Scope

This skill ONLY:

  • Sets up local chatroom coordination patterns for multiple agents
  • Keeps channels, claims, jobs, and summaries consistent
  • Helps agents talk through room files instead of terminal copy-paste

This skill NEVER:

  • Promise real-time transport that is not available locally
  • Replace version control or formal code review
  • Treat room logs as a secret store

Related Skills

Install with clawhub install \x3Cslug> if user confirms:

  • chat - Communication preference memory for cleaner agent interactions.
  • agent - Agent behavior and prompting patterns for consistent roles.
  • agents - Multi-agent system design and safety boundaries.
  • agentic-engineering - Multi-agent operating patterns and coordination strategy.
  • delegate - Structured handoffs when work should move between agents.

Feedback

  • If useful: clawhub star chat-rooom
  • Stay updated: clawhub sync
Usage Guidance
This skill appears to do only local coordination: it will create and update .chat-rooom/ in the current repo and ~/chat-rooom/ in your home. Before installing, consider: (1) these room files will persist on disk—add them to .gitignore if you don't want them committed; (2) avoid putting secrets or tokens in room logs (the skill itself advises against this); (3) the agent will read workspace files to follow claims/links—only enable the skill in repositories you trust; (4) the skill may suggest installing related skills (via clawhub) — review those separately. Overall the behavior matches the description and no external network installs or credential requests are present.
Capability Analysis
Type: OpenClaw Skill Name: chat-rooom Version: 1.0.0 The 'Chat Rooom' skill is a coordination framework that enables multiple AI agents to collaborate using local markdown files as a shared communication layer. It uses standard filesystem operations (mkdir, cp, mv) to manage room structures in the user's home directory (~/chat-rooom/) and the current workspace (.chat-rooom/). The instructions in SKILL.md and setup.md are strictly focused on maintaining task state, claims, and summaries, with explicit security sections stating that no data leaves the local machine and no secrets should be stored in the logs.
Capability Assessment
Purpose & Capability
Name/description (local chat rooms, channels, claims, summaries) match the declared requirements and instructions. No unrelated credentials, binaries, or services are requested.
Instruction Scope
SKILL.md only instructs the agent to create, read, append, and rename files under the active workspace (./.chat-rooom/) and the user's home (~/chat-rooom/). This behavior is consistent with the stated purpose (local coordination). The instructions avoid external endpoints and explicitly say not to store secrets.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is downloaded or written by an installer; the risk surface is limited to file reads/writes performed at runtime.
Credentials
No environment variables, credentials, or config paths beyond the declared ~/chat-rooom/ are required. The requested access (workspace and a single home folder path) is proportional to the feature set.
Persistence & Privilege
The skill writes local files for persistence in ~/chat-rooom/ and .chat-rooom/ in the workspace, which is appropriate for durable room logs. always is false and the skill does not request elevated or cross-skill configuration changes.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install chat-rooom
  3. After installation, invoke the skill by name or use /chat-rooom
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release with a local room protocol, mention routing, claim tracking, and summary driven handoffs.
Metadata
Slug chat-rooom
Version 1.0.0
License
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Chat Rooom?

Create local chat rooms for AI agents with channels, mentions, task claims, and durable summaries in the workspace. It is an AI Agent Skill for Claude Code / OpenClaw, with 306 downloads so far.

How do I install Chat Rooom?

Run "/install chat-rooom" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Chat Rooom free?

Yes, Chat Rooom is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Chat Rooom support?

Chat Rooom is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).

Who created Chat Rooom?

It is built and maintained by Iván (@ivangdavila); the current version is v1.0.0.

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