B0 logo

B0

Organization
skillmds
b0

Delegate tasks to AI agents via Box0. Use when the user asks to review code, check security, run tests, compare tools, get multiple perspectives, research a topic, analyze data, write docs, or any task that could benefit from specialized or parallel execution. Also use when the user mentions agent names or says "ask", "delegate", "get opinions from", or "have someone".

Overview

Publisherskillmds
Repositoryskillmd
Skill nameb0
Stars
249
Forks
3
Bundled files
3
LicenseMIT
Links
  • 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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by skillmds on GitHub. Read the source before you install it.

Installation

Install the B0 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/skillmds/skillmd/tree/main/plugins/agents-mcp/skills/b0
  4. 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.
2

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/skillmds/skillmd.git /tmp/skillmd
mkdir -p .claude/skills
cp -r /tmp/skillmd/plugins/agents-mcp/skills/b0 .claude/skills/b0
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable B0 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 B0 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 B0 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.

Box0 (b0) Multi-Agent Platform

Run AI agents in parallel. Create agents with roles, trigger them on demand or on a schedule, and collect results.

Setup

Step 1: Check if Box0 is installed

bash
b0 --version

If this succeeds, skip to Step 3.

Step 2: Install

bash
npm install -g @box0/cli@latest

If npm is not available, build from source:

bash
git clone https://github.com/risingwavelabs/box0.git
cd box0 && cargo build --release
export PATH="$PWD/target/release:$PATH"

Step 3: Check if server is running

bash
b0 server status

If this shows "Server is running", skip to Step 5.

Step 4: Start the server

bash
b0 server

On first start, Box0 creates an admin account and auto-configures ~/.b0/config.toml.

Step 5: Install the skill

bash
npx skills add risingwavelabs/skills --skill b0

Step 6: Verify

bash
b0 ls

This should run without errors. Setup is complete.

Tell the user: "Box0 is installed and ready. You can now delegate tasks to agents."


When to use

When the user's request could benefit from specialized agents or parallel execution, delegate.

Choosing an agent

Always use b0 run with an existing agent or create one with b0 add. Use b0 ls to see what is available.

Use b0 add when:

  • No existing agent matches the task
  • The user wants a named agent for future reuse

Use b0 run <name> when:

  • b0 ls shows an existing agent that matches the task
  • The user mentions an agent by name ("ask the reviewer")

Commands

bash
b0 ls                                                  # list available agents
b0 add <name> --instructions "..."                     # create a named agent
b0 add <name> --instructions "..." --every 1h --task "..." # create scheduled agent
b0 add <name> --instructions "..." --webhook           # create agent with trigger URL
b0 add <name> --instructions "..." --webhook-secret s  # create agent with HMAC secret
b0 rm <name>                                           # delete an agent
b0 run <agent> "<detailed task prompt>"                # trigger agent and wait for result
b0 run <agent> "<task>" --timeout 600                  # trigger with custom timeout
b0 info <name>                                         # show agent info including trigger URL
b0 logs <name>                                         # show recent agent logs
b0 update <name> --instructions "..."                  # update agent instructions

How to write task prompts

This is critical. Do NOT forward the user's words. Compose a complete, actionable prompt.

Bad:

b0 run reviewer "review this PR"

Good:

b0 run reviewer "Review the changes on branch feature-timeout in this repo.
The PR adds timeout handling to src/handler.rs.
Focus on correctness, edge cases, and error handling.
Cite line numbers for any issues found."

Steps:

  1. Gather context first - read relevant files, run git diff, check the branch
  2. Include specifics - file paths, line numbers, branch names, what changed and why
  3. State the deliverable - what the agent should produce (a list of issues, a summary, a fix)

For large content (diffs, file contents), pipe via stdin:

git diff main..HEAD | b0 run reviewer "Review the following diff. Focus on correctness."

Concurrent tasks

Run multiple agents in parallel:

bash
b0 run reviewer "Review the changes on branch feature-timeout..." &
b0 run security "Check src/handler.rs for OWASP top 10 vulnerabilities..." &
b0 run doc-writer "Update README to reflect the new timeout config option..." &
wait

Each b0 run call blocks until its agent completes. Run them in the background with & to parallelize.

Scheduled agents

Create an agent that runs automatically on a schedule:

bash
b0 add monitor --instructions "Check logs for errors." --every 1h --task "scan logs"

Intervals: 30s, 5m, 1h, 6h, 1d.

Webhook triggers

Every agent with --webhook has a trigger URL. Any HTTP POST to that URL runs the agent.

bash
b0 add notifier --instructions "Process incoming alerts." --webhook

This prints the trigger URL: <server>/trigger/<workspace>/<agent-name>.

To see the trigger URL for an existing agent:

bash
b0 info notifier

To add HMAC signature verification:

bash
b0 add notifier --instructions "Process alerts." --webhook --webhook-secret mysecret

Then sign requests with X-Hub-Signature-256: sha256=<hmac-sha256-of-body>.

Error handling

If an agent fails, b0 run reports the error. Decide whether to:

  • Retry with a clearer prompt
  • Try a different agent
  • Handle the task yourself
  • Report the failure to the user

Troubleshooting

SymptomFix
b0: command not foundRun npm install -g @box0/cli@latest
b0 server status shows not runningRun b0 server
b0 run times outIncrease timeout with --timeout 600
Agent returns empty resultCheck agent instructions with b0 info <name>

Bundled files

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

Frequently asked questions

What does the B0 AI skill do?

Delegate tasks to AI agents via Box0. Use when the user asks to review code, check security, run tests, compare tools, get multiple perspectives, research a topic, analyze data, write docs, or any task that could benefit from specialized or parallel execution. Also use when the user mentions agent names or says "ask", "delegate", "get opinions from", or "have someone".

Why use B0 on TypingMind?

Because you install it once and use it with any model. B0 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 B0 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/skillmds/skillmd/tree/main/plugins/agents-mcp/skills/b0. 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 B0?

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 B0?

As many as you like. As long as a model supports skills, you can use B0 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the B0 AI skill free?

Yes. It is published on GitHub by skillmds under the MIT 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇