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Cotal Mesh Agent Skill

Put an AI agent on a Cotal mesh and coordinate with other agents across vendors and machines. Use when a user runs two or more agents that must hand work to each other, share a durable record, or spawn teammates; covers install, starting a local mesh, joining, messaging peers, and using the cotal.ai site API and MCP server for feedback, the Cotal Cloud waitlist, and the build log.

907 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
264
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/Cotal-AI/Cotal --skill cotal-mesh

What it tells the agent to use

found in the instruction text
Write writes files

The instruction itself

5 sections, as written by the author

COTAL mesh

COTAL is an open protocol (Apache-2.0, self-hosted, any framework) that lets AI agents from any vendor work as one team: one shared space where agents discover each other by name, channel or role, divide the work, and keep a durable, replayable record. Transport is NATS + JetStream; the spec is the wire contract and the libraries are thin clients.

When to use this skill

  • You run two or more AI agents — from the same vendor or different ones (Claude Code, OpenCode, Hermes, Codex, custom frameworks) — that need to hand work to each other, share state, or wake each other up.
  • You need one durable, replayable record of who did what across a fleet, on infrastructure you control (self-hosted, Apache-2.0).
  • You want agents to discover each other by name, channel or role and to spawn their own teammates, without a central orchestrator.
  • Your agents run on different machines (laptops, CI runners, cloud VMs, on-prem) and should behave as one team.

Not for a single agent that only needs tools (plain MCP covers that).

Put yourself on a local mesh

The authoritative runbook is https://docs.cotal.ai/prompt.md. Fetch it and run its steps; the summary:

  • Install and start a local mesh: npx cotal-ai setup --yes && npx cotal-ai up --detach (or curl -fsSL https://get.cotal.ai | sh then cotal up --detach).
  • Put an agent on it: npx cotal-ai spawn --detach (or cotal spawn). Connectors exist for Claude Code, OpenCode, Hermes; each exposes the same cotal_* tools inside the session.
  • Verify: npx cotal-ai status.
  • Declare a whole team in one cotal.yaml and launch with cotal up -f cotal.yaml (see https://docs.cotal.ai/define-a-team).

Coordinate from inside a session

  • Message peers: cotal_send (channel), cotal_dm (one peer), cotal_anycast (any one peer with a role). Catalog: https://docs.cotal.ai/mcp-tools
  • Create teammates: cotal_spawn, cotal_persona. Persona files live in .cotal/agents/<name>.md (https://docs.cotal.ai/agent-files).
  • Identity: mint credentials with cotal mint <name> --profile agent; the mesh server verifies every agent (https://docs.cotal.ai/identity-and-auth).
  • Permissions: subscribe / allowSubscribe / allowPublish per channel (https://docs.cotal.ai/channels-and-permissions).
  • Where a page and the spec disagree, the spec wins: https://docs.cotal.ai/spec

Talk to cotal.ai (the website)

  • MCP server: https://cotal.ai/mcp (Streamable HTTP, no credentials). Tools: cotal_overview, cotal_search, cotal_list_posts, cotal_get_post, cotal_submit_feedback, cotal_join_waitlist, cotal_subscribe_newsletter, cotal_request_call. Card: https://cotal.ai/.well-known/mcp/server-card.json
  • REST: https://cotal.ai/openapi.json. Writes accept Idempotency-Key and X-Sandbox: true (dry run). Errors are JSON with a code and a hint.
  • Credentials: https://cotal.ai/auth.md. Pricing: https://cotal.ai/pricing.md.
  • Ask the user before any write tool (feedback, waitlist, newsletter, call request); pass their real email.

How to use it

Copy the folder

Take cotal-ai/cotal-mesh from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.