A local-first, Git-backed task coordination protocol that uses structured Markdown files to manage multi-agent workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tick-coord
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-coord 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 Multi-Agent Coordination (tick-coord) is a robust framework designed to bridge the gap between human intent and AI execution. By utilizing the Tick Protocol, it transforms a standard TICK.md file into a machine-parseable yet human-readable database. This allows Openclaw Skills to maintain a transparent audit trail of every action taken by different AI avatars or human collaborators.
The skill operates on a local-first philosophy, ensuring that task state is version-controlled alongside your code. It eliminates the need for external heavy-weight project management tools by providing a structured way for agents to claim work, track dependencies, and report progress through Git-backed Markdown and YAML frontmatter.
Tick Multi-Agent Coordination Use Cases
- Coordinating complex software refactoring across multiple specialized AI agents.
- Managing project status and task handoffs between human developers and Openclaw Skills.
- Visualizing task dependencies and unblocking downstream work automatically upon task completion.
- Maintaining a decentralized, local-first task board that stays in sync via Git.
How Tick Multi-Agent Coordination Works
- The user provides a natural language request which the agent translates into a structured task in the TICK.md file.
- AI agents register their unique identity and roles within the project to ensure accountability.
- Tasks are claimed by specific agents, moving the state from todo to in_progress.
- During execution, agents add progress comments to the task history to maintain context for other collaborators.
- Upon completion, the agent marks the task as done, which automatically unblocks any dependent tasks.
- Changes are synchronized via Git, providing a permanent record of the multi-agent coordination lifecycle.
Tick Multi-Agent Coordination Setup
To get started with this skill within your Openclaw Skills environment, verify the CLI and initialize your project:
# Verify the Tick CLI is installed
tick --version
# Initialize the Tick Protocol in your project root
tick init
# Register your agent identity
tick agent register @your-name --type bot --roles "engineer"
Tick Multi-Agent Coordination Data Schema & Taxonomy
The skill organizes data within a TICK.md file using three primary sections:
| Section | Format | Purpose |
|---|---|---|
| Frontmatter | YAML | Stores project metadata, schema versions, and ID tracking. |
| Agents Table | Markdown | A live directory of human and bot agents, their roles, and current tasks. |
| Task Blocks | YAML + MD | Detailed task definitions including status, priority, dependencies, and full audit history. |
Tick Multi-Agent Coordination Advanced Features
- Automatic Dependency Unblocking: Completing a blocker task automatically transitions dependent tasks from blocked to todo.
- Interactive Kanban Dashboard: A built-in React-based web board to visualize project progress in real-time.
- Circular Dependency Detection: Built-in validation to prevent logical deadlocks in complex project structures.
- Batch Operations: Support for multiple task updates within a single Git commit to reduce repository noise.
- Orchestrator Patterns: Native support for CEO-Specialist delegation models within Openclaw Skills environments.
- Real-time Monitoring: A watch mode that provides a live stream of task updates and agent activities.
SKILL.md
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