claw-control
Complete AI agent operating system setup with Kanban task management. Use when setting up multi-agent coordination, task tracking, or configuring an agent team. Includes theme selection (DBZ, One Piece, Marvel, etc.), workflow enforcement (all tasks through board), browser setup, GitHub integration, and memory enhancement (Supermemory, QMD).
Why use this skill?
Deploy a powerful Kanban-based AI agent OS with integrated GitHub, browser automation, and persistent memory. Organize your agent teams today.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/adarshmishra07/claw-controlWhat This Skill Does
Claw Control is the definitive Operating System for AI agents, designed to transform fragmented workflows into a centralized, highly-organized command center. At its core, it provides a real-time Kanban dashboard that mandates a 'tasks-first' architecture. By enforcing that every action flows through the board, it eliminates task drift and ensures complete visibility into your agent team's progress. Beyond task management, the skill handles the heavy lifting of agent infrastructure: setting up autonomous browser capabilities, configuring secure GitHub integration for deployment automation, and enhancing long-term memory through seamless Supermemory and QMD integration. You can even personalize the agent persona with themes like Dragon Ball Z, One Piece, or Marvel to match your team culture.
Installation
To install this skill, use the following terminal command:
clawhub install openclaw/skills/skills/adarshmishra07/claw-control
Once installed, initiate the setup wizard by invoking the skill. The wizard will present you with three deployment paths: a one-click Railway deploy, a hands-off deployment via Railway API token, or a fully automated custom configuration. Simply follow the prompts provided in the interface to connect your backend and frontend services, update your AGENTS.md and SOUL.md configuration files, and establish your workspace theme.
Use Cases
- Multi-Agent Coordination: Managing teams of specialized agents where each task must be tracked and audited.
- Autonomous Development: Setting up agents that can push code to GitHub and manage their own deployments.
- Persistent Knowledge Management: Building an agent team that remembers every interaction using QMD and Supermemory.
- Workflow Standardization: Forcing a structured 'board-first' methodology in creative or technical projects.
Example Prompts
- "I'm ready to start, walk me through the One-Click setup for Claw Control and help me set the theme to One Piece."
- "I have my Railway token ready, please handle the backend and frontend deployment for my new project."
- "Update my SOUL.md to reflect a more aggressive, high-efficiency task management persona."
Tips & Limitations
- Safety First: Ensure your API keys are handled securely. Do not share your Railway token in public channels.
- Persistence: Always keep your AGENTS.md updated. The more context you provide in the configuration files, the better the agents will perform in the Kanban environment.
- Workflow Integrity: While it may feel restrictive, adhering strictly to the Kanban board is what makes this skill powerful. Try not to run tasks outside of the dashboard to maintain full history tracking.
- Updates: Check back for new theme updates and memory modules to keep your agent team evolving.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-adarshmishra07-claw-control": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-write, file-read, external-api, code-execution