·beads
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beads

itechmeat/llm-code

Beads (bd) distributed git-backed issue tracker for AI agents: hash-based IDs, dependency graphs, worktrees, molecules, sync. Keywords: bd, beads, issue tracker, git-backed, dependencies, molecules, worktree, sync, AI agents.

9Installs·1Trend·@itechmeat

Installation

$npx skills add https://github.com/itechmeat/llm-code --skill beads

SKILL.md

Distributed, git-backed graph issue tracker for AI coding agents. Persistent memory with dependency-aware task tracking.

| bd ready | List tasks with no open blockers | | bd ready --gated | Tasks waiting at gate checkpoints | | bd create "Title" -p 0 | Create P0 task | | bd show | View task details and audit trail | | bd update --status=X | Update status (open/inprogress/done) | | bd close | Close task | | bd dep add | Link tasks (blocks, related, parent) |

| bd list | List issues (default: 50, non-closed) | | bd sync | Sync with git/remote |

Beads (bd) distributed git-backed issue tracker for AI agents: hash-based IDs, dependency graphs, worktrees, molecules, sync. Keywords: bd, beads, issue tracker, git-backed, dependencies, molecules, worktree, sync, AI agents. Source: itechmeat/llm-code.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/itechmeat/llm-code --skill beads
Category
</>Dev Tools
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is beads?

Beads (bd) distributed git-backed issue tracker for AI agents: hash-based IDs, dependency graphs, worktrees, molecules, sync. Keywords: bd, beads, issue tracker, git-backed, dependencies, molecules, worktree, sync, AI agents. Source: itechmeat/llm-code.

How do I install beads?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/itechmeat/llm-code --skill beads Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/itechmeat/llm-code