Beads

Community

atgreen

beads

Use when working in a repository that uses bd or Beads for durable project task tracking, issue dependencies, blocker management, multi-session handoff, or shared work memory. Trigger when the user asks to find ready work, claim or close tasks, create follow-up work, inspect blockers, recover project context, or choose between local planning and persistent project tracking.

Overview

Publisher	atgreen
Repository	`secscan-skill`
Skill name	`beads`
Stars	51
Forks	4
Bundled files	1
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by atgreen on GitHub. Read the source before you install it.

Installation

Install the Beads AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/atgreen/secscan-skill/tree/main/.agents/skills/beads
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/atgreen/secscan-skill.git /tmp/secscan-skill
mkdir -p .claude/skills
cp -r /tmp/secscan-skill/.agents/skills/beads .claude/skills/beads

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Beads in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Beads on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Beads is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Beads

Use Beads as the shared project task system. Local plans, scratch files, and personal memories are useful, but they are not the durable source of truth for project work.

First Step

Run:

bash
bd prime

If that prints nothing, check whether the repository has an active Beads workspace:

bash
bd where

Preferred Route

Use the bd CLI when shell access is available. It is the most compact and direct Beads interface.

Core CLI Workflow

Find work:

bash
bd ready
bd list --status=open
bd list --status=in_progress

Inspect before editing:

bash
bd show <id>

Claim work atomically:

bash
bd update <id> --claim

Create durable follow-up work when implementation reveals new tasks:

bash
bd create "Short title" --description="Why this exists and what needs to be done" --type=task --priority=2

Close completed work:

bash
bd close <id> --reason="Completed"

What Belongs In Beads

Use Beads for:

shared project tasks
blockers and dependencies
discovered follow-up work
work that must survive thread reset, compaction, or handoff
status that another person or agent should be able to resume

Use agent-local planning tools only for the current turn's execution checklist. Do not treat them as shared project state.

Rules

Do not create markdown TODO files as the source of truth when Beads is available.
Do not use bd edit; it opens an interactive editor. Use bd update flags instead.
Prefer --json when parsing bd output programmatically.
If hooks are installed, bd prime may already be injected. Run it manually when context is missing.
Do not auto-close or mutate tasks unless the work is actually complete.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB

Frequently asked questions

What does the Beads AI skill do?

Why use Beads on TypingMind?

Because you install it once and use it with any model. Beads is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Beads in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/atgreen/secscan-skill/tree/main/.agents/skills/beads. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Beads?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Beads?

As many as you like. As long as a model supports skills, you can use Beads with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Beads AI skill free?

Yes. It is published on GitHub by atgreen under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Beads

First Step

Preferred Route

Core CLI Workflow

What Belongs In Beads

Rules

Bundled files

Frequently asked questions

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