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Skill Builder

Organization
block
skill-builder

Create, edit, or inspect Berd skills stored as skill folders with SKILL.md files. Use when the user wants to build a new skill, update an existing skill, convert a workflow into a reusable skill, or decide whether instructions, scripts, references, or assets belong in a skill.

Overview

Publisherblock
Repositoryberd
Skill nameskill-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 Skill 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/skill-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/skill-builder .claude/skills/skill-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill 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 Skill 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 Skill 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.

Skill Builder

Use this skill when creating, editing, or inspecting Berd skills.

What a Skill Is

A skill is a folder with a required SKILL.md file and optional supporting resources:

text
skill-name/
├── SKILL.md
├── scripts/
├── references/
└── assets/

Do not create README.md, CHANGELOG.md, or extra documentation files inside a skill folder. Skill documentation belongs in SKILL.md or references/.

Storage Decision

Skills can be global or project-local:

  • Global: ~/.agents/skills/<skill-name>/SKILL.md
  • Project-local: <project>/.agents/skills/<skill-name>/SKILL.md

Default to global unless the user is clearly working in a project directory.

If a project directory is active and the user has not specified scope, ask whether the skill should be saved for this project only or globally for all projects.

Do not ask when intent is clear:

  • Project-local: "this repo", "this project", "only here", "project skill"
  • Global: "all projects", "global", "personal skill", "always available"

When editing an existing skill, keep it in its current location unless the user explicitly asks to move it.

Format

SKILL.md is UTF-8 Markdown with YAML frontmatter:

md
---
name: skill-name
description: What the skill does. Use when the user asks to...
---

# Skill Title

Instructions the agent follows.

Required frontmatter keys are name and description. Preserve unknown frontmatter keys when editing existing skills unless the user explicitly asks to change them.

The description is the trigger surface. It must explain both what the skill does and when to use it. Include concrete user phrases or task types. Keep it specific enough to avoid triggering for unrelated work.

Names

Skill names and folder names must match.

Use lowercase kebab-case:

  • Allowed: a-z, 0-9, and -
  • Maximum: 64 characters
  • Do not start or end with -
  • Do not use spaces, underscores, slashes, or capitals

Normalize user-provided titles by lowercasing, replacing invalid character runs with -, collapsing repeated separators when practical, trimming leading and trailing -, and truncating to 64 characters. Fall back to skill if needed.

On create collisions, use <skill-name>-2, <skill-name>-3, etc.

Authoring Workflow

  1. Understand the skill with concrete examples. Ask for 2-3 example requests or workflows if the goal is vague. Do not ask when the user has already provided enough detail.
  2. Decide the skill shape. Keep simple procedural guidance in SKILL.md. Add optional folders only when they earn their keep:
    • scripts/ for deterministic or repeatedly rewritten code
    • references/ for detailed docs loaded only when needed
    • assets/ for templates, fonts, icons, or files used in outputs
  3. Create or edit the skill folder. Prefer direct file edits over helper scripts unless the repo already has a relevant script.
  4. Validate the result. Confirm the folder exists, SKILL.md exists with exact casing, frontmatter is valid YAML, required keys are present, the name matches the folder, and existing metadata was preserved.
  5. Report the final path and a short summary of what the skill now does.

Editing Existing Skills

Read the existing skill before editing. Resolve targets by exact path, then frontmatter name, then folder name. Ask only if multiple matches remain.

Preserve supporting folders and unknown files unless the user explicitly asks to remove them.

Quality Checklist

Before finishing, check:

  • The skill has a clear, narrow purpose.
  • The description has likely trigger phrases and avoids vague claims.
  • Critical instructions are near the top of the body.
  • The body is concise; detailed material moves to references/.
  • Any fragile or repetitive operation uses a script where practical.
  • The skill can work alongside other skills without assuming it is the only active skill.

Trigger Testing

When useful, suggest a tiny test set:

  • Should trigger: obvious requests and paraphrases for the workflow.
  • Should not trigger: unrelated tasks and adjacent workflows outside scope.

If a skill under-triggers, make the description more concrete. If it over-triggers, narrow the description and add negative scope guidance.

Frequently asked questions

What does the Skill Builder AI skill do?

Create, edit, or inspect Berd skills stored as skill folders with SKILL.md files. Use when the user wants to build a new skill, update an existing skill, convert a workflow into a reusable skill, or decide whether instructions, scripts, references, or assets belong in a skill.

Why use Skill Builder on TypingMind?

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

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

Which AI models can use Skill 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 Skill Builder?

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

Is the Skill 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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