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Agent Builder

Organization
block
agent-builder

Create, edit, or inspect Berd agents/personas stored as Agent Markdown files with YAML frontmatter under ~/.agents/agents. Use when user needs to manage Berd agents or personas.

Overview

Publisherblock
Repositoryberd
Skill nameagent-builder
Stars
978
Forks
128
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Agent Builder 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/block/berd/tree/main/distro/skills/agent-builder
  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/block/berd.git /tmp/berd
mkdir -p .claude/skills
cp -r /tmp/berd/distro/skills/agent-builder .claude/skills/agent-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Builder 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 Agent Builder 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 Agent Builder 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.

Agent Builder

Use this skill when managing Berd agents/personas in Agent Markdown format.

Storage

Agents are UTF-8 Markdown files with YAML frontmatter:

  • Global: ~/.agents/agents/<slug>.md
  • Project-local: <project>/.agents/agents/<slug>.md

Default to global unless the user asks for project-local. Use platform path APIs or shell-safe home expansion.

Format

Each agent is one .md file:

md
---
name: Agent Name
description: A concise summary of what this agent does
provider: optional-provider
model: optional-model
avatar: optional-avatar
---

Agent instructions here.

Required frontmatter keys are name and description. The description must be a trimmed, non-empty summary of what the agent does; never create or save an agent with a missing, blank, or placeholder description. If the user has not supplied enough context to write an accurate description, ask for one before saving. Preserve all other frontmatter keys when editing existing agents unless the user explicitly changes them. The Markdown body is the agent’s system prompt/persona instructions.

When writing or generating a description or body, do not assign the agent a gender or gendered pronouns unless the user asked for one. Use it/its or they/them for the agent, matching how it is framed (tool vs. character), or avoid pronouns; people the instructions describe get they/them. Preserve pronouns the user chose, in either direction.

Names and Slugs

For create/rename, require a trimmed name that is non-empty, ≤80 characters, and contains no / or \.

Derive <slug> from the name by lowercasing, replacing each non-ASCII alphanumeric run with -, collapsing/trimming -, truncating to 64 characters, and falling back to agent.

Write <slug>.md; on create collisions, use <slug>-2.md, <slug>-3.md, etc.

Workflow

When editing, read the existing file first. Resolve targets by exact path, frontmatter name, then slug filename. Ask only if multiple matches remain.

Prefer direct file edits over helper scripts. Do not require Python, Node, or another runtime unless the current repo already requires it.

After writing, verify that the file exists, frontmatter is valid, name and description are both trimmed and non-empty, and preserved metadata was not removed. Report the final path.

Frequently asked questions

What does the Agent Builder AI skill do?

Create, edit, or inspect Berd agents/personas stored as Agent Markdown files with YAML frontmatter under ~/.agents/agents. Use when user needs to manage Berd agents or personas.

Why use Agent Builder on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/block/berd/tree/main/distro/skills/agent-builder. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Builder?

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 Agent Builder?

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

Is the Agent Builder AI skill free?

Yes. It is published on GitHub by block 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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