Autonomous Work Signaling

What it is

Autonomous Work Signaling is a skill from the ChrisLamDev/hermes-core-skills pack that solves a specific multi-agent coordination problem: when multiple autonomous agents are running concurrently, they often have no way to know what each other is doing. This skill provides a structured protocol for cross-session work status synchronization.

The skill is part of a 26-skill pack focused on debugging, planning, token efficiency, and security for AI coding agents. It is MIT-licensed and works with Hermes Agent, Claude Code, OpenAI Codex CLI, Cursor, GitHub Copilot, and any MCP-compatible agent.

The problem it solves

When you run multiple autonomous agents in parallel — say, one handling frontend, one handling backend, one running tests — they operate in isolation. Without a signaling mechanism:

• Two agents may work on the same file unknowingly
• An orchestrator can't tell if a subagent is stuck or making progress
• A teammate can't tell if it's safe to pick up where an agent left off
• Dependencies between agent tasks become invisible

How it works

The skill defines a work-signaling protocol where each agent:

1. Broadcasts intent before starting a task — what it's about to do, which files it will touch
2. Posts progress at defined checkpoints — completed steps, current state, estimated remaining work
3. Signals completion or failure when done — final status, artifacts produced, blockers encountered

The protocol uses a shared status file or endpoint that all agents and human coordinators can read. This is deliberately low-tech — no message bus, no distributed lock manager — because the goal is reliability, not sophistication.

The broader skill pack

The hermes-core-skills pack includes 26 executable skills across several categories:

• AI Agent Ecosystem (6 skills): capability comparison methodology, open-source adaptation patterns, multi-agent browser text extraction, skill size optimization, batch skill description fixing, Hermes improvement multiphase planning
• Agent Integration (3 skills): OpenClaw-Hermes architecture docs, Hermes setup guide, this work signaling skill
• Session/Planning (3 skills): structured planning and session management
• Debugging, token efficiency, and security skills

Installation

git clone https://github.com/ChrisLamDev/hermes-core-skills.git
# Copy the skill to your Hermes skills directory
cp -r hermes-core-skills/skills/autonomous-work-signaling ~/.hermes/skills/

When to use it

• Multi-agent development teams where 2+ autonomous agents work on the same codebase
• Orchestrator-worker patterns where a coordinator needs to track subagent progress
• Human-agent handoff scenarios where a teammate needs to know an agent's state before taking over