beads

Manage project tasks and dependencies using the Beads CLI.

1|Updated Jun 17, 2026
One-click install
npx skills add https://github.com/bildzeitung/lode --skill beads-bildzeitung
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: beads
Source: https://github.com/bildzeitung/lode/tree/main/.agents/skills/beads
Command: npx skills add https://github.com/bildzeitung/lode --skill beads-bildzeitung

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires beads, python, and includes scripts (resource) components.

What problem does it solve?

This Skill streamlines project management by using Beads, a CLI for task tracking, issue dependencies, blocker management, and shared work memory. It helps in finding ready work, claiming tasks, and closing completed work, ensuring project context is maintained.

Core Features & Use Cases

  • Task Tracking: Use Beads to track project tasks, manage dependencies, and handle blockers.
  • Shared Work Memory: Maintain a persistent project tracking system that survives resets and handoffs.
  • Use Case: When working on a project, use Beads to list ready tasks, claim work, and create follow-up tasks. This ensures that project work is durable and can be easily handed off or resumed.

Quick Start

Run the 'bd prime' command to set up Beads, then use 'bd ready' to find work. To claim a task, use 'bd update <id> --claim'.

Frequently Asked Questions about beads

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track project tasks and manage dependencies from the CLI?

You can track project tasks and manage dependencies using the Beads CLI, which provides durable shared work memory to find ready work, claim tasks, and close completed items.

What is shared work memory for project management?

Shared work memory is a persistent project tracking system that survives resets and handoffs, ensuring project context and task dependencies are maintained across collaborative workflows.

Do I need Python to use Beads for task tracking?

Yes, you need both the Beads CLI and Python installed to execute task tracking commands, manage issue dependencies, and handle blockers within your project workflow.

How do I find ready work and claim tasks using a CLI?

Run 'bd ready' to list available tasks, then claim work using 'bd update <id> --claim' to assign tasks and maintain durable project tracking context.

What's the best way to maintain project context across team handoffs?

Use Beads CLI as a durable task tracking system to maintain persistent project context, managing dependencies and blockers so work survives resets and can be easily resumed or handed off.

Can I create follow-up tasks after completing work in Beads?

Yes, Beads supports creating follow-up tasks after closing completed work, ensuring continuous project workflow tracking and dependency management across collaborative team environments.