Corkboard Dashboard for Openclaw

A real-time visual dashboard for managing actionable pins, multi-track project pipelines, and historical task recovery.

zheroz00
v1.0.0
Apr 21, 2026
0
763
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install corkboard-dashboard

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install corkboard-dashboard 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 Corkboard Dashboard?

The Corkboard Dashboard is a specialized interface designed for AI agents and developers to surface mission-critical information. Whether you need to pin a one-off task, track a package, or manage a complex project with multiple handoff tracks, this skill provides a unified hub. It bridges the gap between raw data and actionable insights by providing a persistent visual layer for your AI workflows through the Openclaw Skills framework.

By centralizing different data types—from simple links and notes to complex project status tracking—it ensures that important information is never lost in a chat buffer. The dashboard supports a variety of specialized pin types, allowing users to categorize content effectively while maintaining a high-performance environment for automated task management.

Corkboard Dashboard Use Cases

  • Surfacing urgent server alerts or API downtime notifications for immediate attention.
  • Managing multi-step development projects with shared tracks between humans and AI agents.
  • Summarizing articles, YouTube videos, or GitHub repositories for quick review and archiving.
  • Storing future project ideas in the cellar to keep the main board focused and clutter-free.
  • Recovering deleted tasks using built-in history and restoration endpoints for data safety.

How Corkboard Dashboard Works

  1. The user installs the dashboard and initializes the API server either locally or on a trusted network device.
  2. The AI agent or developer utilizes bundled helper scripts or the REST API to post content directly to the board.
  3. Incoming work items are categorized as either simple pins for one-off tasks or multi-track projects for complex workflows.
  4. Real-time updates are reflected on the dashboard interface, supporting interactive editing and instant status changes.
  5. Deleted items are automatically archived in a history log, allowing for granular recovery via specific API calls.

Corkboard Dashboard Setup

Install or update the dashboard using the provided installation script:

export CORKBOARD_REPO="https://github.com/Grooves-n-Grain/carls-corkie.git"
bash {baseDir}/scripts/install.sh

Configure the API environment and load the required bearer token from your environment variables:

export CORKBOARD_API=http://localhost:3010
export CORKBOARD_TOKEN="$(grep '^CORKBOARD_TOKEN=' /path/to/dashboard/.env | cut -d= -f2-)"

Verify the installation by adding a test task via the helper script:

bash {baseDir}/scripts/corkboard.sh add task "Review Skill" "Initial setup complete" 1

Corkboard Dashboard Data Schema & Taxonomy

The skill organizes data into Pins and Projects using the following primary schema fields:

Field Type Description
type string Defines the pin category (task, alert, link, note, briefing, etc.)
title string The primary headline or identifier for the entry
content string Detailed body text, often containing Markdown summaries or links
priority integer Urgency level: 1 (High), 2 (Normal), 3 (Low)
status string The current state: active, cellar, or deleted
tracks array List of project-specific owners (e.g., claude, you, shared)

Corkboard Dashboard Advanced Features

  • Multi-track project pipelines that facilitate seamless handoffs between human users and AI agents.
  • Deep integration with external platforms including GitHub, Reddit, Twitter, and various package carriers.
  • Lamp cues and visual signaling for hardware-integrated status alerts.
  • Cellar functionality for long-term ideation and background task storage.
  • Comprehensive history and restoration system to prevent data loss in automated Openclaw Skills environments.

SKILL.md


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