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jstanden
docs

The mounted Cerb documentation -- what lives where, how to find a page without reading it, and when the docs are the authority versus this install. Load it before your first search of `cerb-docs`.

Overview

Publisherjstanden
Repositorycerb
Skill namedocs
Stars
83
Forks
38
Bundled files
Instructions only
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 jstanden on GitHub. Read the source before you install it.

Installation

Install the Docs 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/jstanden/cerb/tree/12.0.x/features/cerberusweb.core/assets/agent_filesystems/cerb-agents/skills/docs
  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/jstanden/cerb.git /tmp/cerb
mkdir -p .claude/skills
cp -r /tmp/cerb/features/cerberusweb.core/assets/agent_filesystems/cerb-agents/skills/docs .claude/skills/docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Docs 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 Docs 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 Docs 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.

The Cerb documentation

cerb-docs is a read-only volume holding the complete Cerb documentation as Markdown -- the same pages published at https://cerb.ai/docs/, mirrored for the release you are running on. It is the authority for how Cerb behaves and what its syntax is.

What it is NOT the authority for

This install's keys. Record types, searchable filters, writable fields, and custom fieldsets are per-installation, and the docs describe the generic baseline. cerb records reflects what is actually here. When the two disagree about a name, cerb records wins; see the records skill.

The docs still win over your own recall, always. A syntax you are confident about is exactly the kind of thing that is subtly wrong.

Where things live

Seven directories under references/, and knowing which one you want saves a search:

PathWhatPages
references/docs/The reference manual -- syntax, commands, record types, API, setup. The default place to look.581
references/guides/Task-oriented walkthroughs, including integrations (guides/integrations/<vendor>/).66
references/solutions/Worked, copy-pasteable answers to specific problems -- solutions/automations/ especially. Adapt one before writing from scratch.107
references/tips/Short single-idea notes.23
references/workflows/Workflow packages and what they do.29
references/releases/Per-version release notes. Where a feature's first appearance is recorded.227
references/resources/Assets and downloads.4

Paths worth going to DIRECTLY rather than searching for, because the name is predictable:

  • references/docs/automations/commands/<command>.md -- one page per automation command (set.md, record.search.md, ...)
  • references/docs/scripting/filters.md and functions.md -- indexes, with filters/<name>.md and functions/<name>.md per entry
  • references/docs/records/types/<type>.md -- one page per record type, listing its API fields, placeholders, search filters, and worklist columns
  • references/docs/search.md -- the whole search query grammar
  • references/docs/data-queries/<type>/<name>.md -- one page per data query type
  • references/docs/kata.md -- the KATA language

Every page carries frontmatter, and it is worth using

id, title, url, summary, tags

Two things follow from that.

Survey without opening anything. find carries frontmatter on every row, so you can read titles and summaries across a whole subtree in one call rather than opening files to find out what they are:

find references/docs/automations --fields title | files|column("meta.title")

url is the public page. When you tell a worker where something is documented, cite that URL -- it is a link they can open -- rather than a path inside a volume only you can see.

The summary field is a full abstract, not a sentence fragment. Reading summaries is often enough to pick the right page, and always cheaper than reading the pages.

Finding a page

The mechanics of search, --terms, find and read --offset/--limit are the terminal skill; read that one if a search comes back empty. Two things specific to this corpus:

  • It is over a thousand files, so search it, do not browse it. ls on references/docs/ tells you almost nothing.
  • Search matches with AND. Cerb's documentation is dense with shared vocabulary, so two distinctive words beat five ordinary ones. --terms is how you find out which words this corpus actually uses.

Then read only what you need: jump to the section, not the whole page.

It is read-only, and that is deliberate

The volume mirrors what shipped. Do not try to write to it, and do not treat a gap as something to patch locally -- there is nothing here that would survive the next release.

If the documentation is genuinely missing or wrong, say so to the worker, with the nearest page's url and what you expected to find. Filing it is their call, not yours.

Frequently asked questions

What does the Docs AI skill do?

The mounted Cerb documentation -- what lives where, how to find a page without reading it, and when the docs are the authority versus this install. Load it before your first search of `cerb-docs`.

Why use Docs on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jstanden/cerb/tree/12.0.x/features/cerberusweb.core/assets/agent_filesystems/cerb-agents/skills/docs. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Docs?

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 Docs?

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

Is the Docs AI skill free?

It is published on GitHub by jstanden. Check the repository for licensing terms. 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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