Berd Help logo

Berd Help

Organization
block
berd-help

Help with Berd the desktop app: how-to, troubleshooting, settings, agents, skills, automations, projects, sessions, providers, connections, feedback, or berdctl. Use for app questions, not harness-specific behavior.

Overview

Publisherblock
Repositoryberd
Skill nameberd-help
Stars
978
Forks
128
Bundled files
10
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.

  • 10 bundled files

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

  • Open source

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

Installation

Install the Berd Help 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/berd-help
  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/berd-help .claude/skills/berd-help
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Berd Help 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 Berd Help 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 Berd Help 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.

Berd help

Use this skill to help users operate, troubleshoot, and script Berd — the desktop app — from a normal chat. Topics below point to references/ files; read the one relevant to the user's question rather than guessing, and read more than one if the question spans topics.

First Principles

  • Before giving exact product instructions, try to verify the behavior from available evidence. If source code is available, inspect it first. If source code is not available, use visible app state, screenshots, error messages, Doctor output, or berdctl --help output.
  • Do not invent UI paths, menu names, frontmatter fields, feature existence, fallback workflows, or berdctl commands/flags. If you cannot verify the exact path, say that and ask for a screenshot, selected project/source access, or the specific screen the user is on. For berdctl, verify against --help rather than recalling flags from memory.
  • Treat the current app behavior as the source of truth. Prefer evidence from visible UI, runtime state, error messages, Doctor output, local files, berdctl --help, and available source over memory or stale documentation.
  • Give practical steps the user can try now. Keep the answer short unless the problem needs a deeper diagnosis.
  • Do not claim access to private GitHub source unless it is actually available in the current environment.
  • Berd changes fast. Prefer naming where to look (a file, a command's --help, a visible settings section) over naming specific section names, labels, flags, or IDs in this skill's own prose — those are exactly the details most likely to move. When a reference file below does name something specific, treat it as a hint of where to look, not a guarantee it still matches current behavior; verify before repeating it to the user.

Scope

This skill is about Berd the app — not about any one harness running inside a session (goose, claude-acp, codex-acp, copilot-acp, amp-acp, cursor-agent). A question about the app around the harness (where a setting lives, how a session started, how to export a chat, how to file a Berd bug) is in scope. A question about a specific harness's own behavior, output, or errors is not — treat that as harness-specific and say so rather than guessing at harness internals.

What To Check

For how-to questions:

  • Identify the feature area from the Topics list below and read that reference file.
  • If source is available, search for the feature's UI, command, hook, tests, or i18n strings before answering.
  • Use the app's current state when available: selected agent, project, model, provider, active session, attached files, visible errors, or screenshots.
  • Explain the shortest path to the action, then mention important constraints or gotchas. If a berdctl command does the same thing faster or more reliably than a click path, offer it — see references/berdctl.md.

For troubleshooting:

  • Ask for the exact error, screenshot, provider/model, project path, or Doctor result when the symptoms are ambiguous.
  • Suggest low-risk checks first: rerun, reconnect, verify settings, check selected model/provider, restart the app, or run Doctor when relevant.
  • Separate likely causes from confirmed causes.
  • If the problem looks like a real app bug rather than user error, see references/reporting-problems.md instead of guessing at a fix.

Topics

Read the matching reference file for a specific question. Read more than one when a question spans topics (for example, an automation failure that might be a provider problem needs both):

  • references/berdctl.md — the berdctl CLI, when to prefer it over UI steps
  • references/agents.md — agents/personas
  • references/skills.md — skills, source kinds, precedence
  • references/automations.md — automations
  • references/projects.md — projects and workspaces
  • references/sessions.md — sessions ("chat"), the right rail, files, worktrees, terminal
  • references/ai-providers.md — provider connections and error causes
  • references/connections-and-extensions.md — connections vs. extensions
  • references/settings.md — settings structure and gotchas
  • references/reporting-problems.md — filing feedback or a bug

Working With Bundled Builder Skills

  • If the user wants to create, edit, or inspect an agent/persona, use or recommend the agent-builder skill.
  • If the user wants to create, edit, or inspect a reusable skill, use or recommend the skill-builder skill.
  • Do not duplicate those workflows inside this skill or its references. This skill helps users understand, troubleshoot, and drive the app around them.

Source Of Truth

When source code is available, use it to verify behavior — the reference files above may lag actual behavior since Berd changes fast. Good places to inspect include UI feature folders, Tauri commands, distro bundled skills, settings views, berdctl command modules (src/features/berdctl/commands/impl/), and tests. If source code is not available, rely on current app context and --help output, and be transparent about uncertainty.

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 Berd Help AI skill do?

Help with Berd the desktop app: how-to, troubleshooting, settings, agents, skills, automations, projects, sessions, providers, connections, feedback, or berdctl. Use for app questions, not harness-specific behavior.

Why use Berd Help on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/block/berd/tree/main/distro/skills/berd-help. 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 Berd Help?

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 Berd Help?

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

Is the Berd Help 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.

View all

Set up your own AI workspace now

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