A Git-backed Markdown protocol that provides a transparent, machine-parseable framework for coordinating complex tasks between humans and AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tick-md
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install tick-md using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Tick Multi-Agent Coordination?
Tick is a specialized protocol designed to synchronize work across distributed teams of human developers and AI agents. By utilizing a central TICK.md file, it provides a human-readable yet machine-parseable source of truth for project status. This approach ensures that every action taken by an agent is documented, version-controlled, and easily auditable by the user.
Integrating this skill into your workflow via Openclaw Skills allows for a local-first, Git-integrated coordination layer. It eliminates the need for external cloud-based project management tools by keeping task definitions, agent registrations, and dependency graphs directly within the repository, ensuring that your AI agents remain productive and aligned with project goals.
Tick Multi-Agent Coordination Use Cases
- Managing large-scale code refactors by breaking them into manageable, claimed tasks.
- Coordinating workflows where multiple AI agents have different roles like frontend, backend, or QA.
- Visualizing complex task dependencies to prevent bottlenecks in the development lifecycle.
- Maintaining a transparent audit trail of agent activities and progress comments for human review.
How Tick Multi-Agent Coordination Works
- The project is initialized with a TICK.md file that stores metadata, agent lists, and task blocks.
- AI agents are registered with specific roles and types to define their capabilities within the project.
- Tasks are created with metadata such as priority, tags, and dependencies, and then claimed by an agent.
- As the agent works, it adds progress comments to the task block to provide context to the human user.
- Upon completion, the agent marks the task as done, which automatically unblocks any dependent tasks.
- Changes are synced via Git to maintain a versioned history of project coordination.
Tick Multi-Agent Coordination Setup
To start using these Openclaw Skills, ensure the Tick CLI is available and initialize your project folder:
# Verify installation
tick --version
# Initialize the TICK.md file
tick init
# Register your AI agent
tick agent register @agent-name --type bot --roles "engineer"
Tick Multi-Agent Coordination Data Schema & Taxonomy
The Tick protocol organizes data within a single TICK.md file using the following structure:
| Section | Format | Description |
|---|---|---|
| Frontmatter | YAML | Project metadata, schema version, and next task ID. |
| Agents Table | Markdown | A list of all human and bot agents with their current status. |
| Task Blocks | YAML + MD | Individual task definitions including status, history, and notes. |
Tick Multi-Agent Coordination Advanced Features
- Automatic dependency unblocking that transitions tasks from blocked to todo upon prerequisite completion.
- Circular dependency detection during validation to prevent logical loops in task planning.
- Batch operations mode for performing multiple updates without triggering individual Git commits.
- Dependency visualization using ASCII graphs or Mermaid flowchart exports for documentation.
- Real-time monitoring via a watch command to track agent progress as it happens.
SKILL.md
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