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Kata

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jstanden
kata

KATA, the indentation-based configuration language Cerb uses for automations, toolbars, sheets, charts, workflows, policies, and more. Load it before writing any KATA -- the indentation and quoting rules are not YAML's.

Overview

Publisherjstanden
Repositorycerb
Skill namekata
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 Kata 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/kata
  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/kata .claude/skills/kata
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kata 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 Kata 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 Kata 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.

KATA

KATA is Cerb's configuration language: keys, values, and indentation. It looks like YAML and is not YAML. Everything below applies everywhere Cerb uses KATA -- automation scripts and policies, toolbars, sheets, charts, workflows, interaction elements, agent config, the schema file -- not just automations.

Full reference: /cerb-docs/references/docs/kata.md.

The indentation rule -- read this one twice

A bare key: with anything indented under it is an OBJECT. Always. There is no exception and no heuristic.

To put a multi-line VALUE under a key, the key must carry an annotation. @text: is the generic one, but any annotation works -- @int:, @bool:, @json: all accept a value indented on the following lines.

message@text:
  Subject: Order 123
  Status: open

→ the string "Subject: Order 123\nStatus: open".

Drop the annotation and the same lines mean something completely different:

message:
  Subject: Order 123
  Status: open

→ the object {"message": {"Subject": "Order 123", "Status": "open"}}.

That second one does not error. It parses cleanly into the wrong shape, and the failure surfaces much later as an empty placeholder or a command that received an object where it wanted a string. Prose is especially prone to it, because a colon anywhere in a sentence is enough -- Subject:, Note:, a time like 9:00.

You are only warned when the indented text can't be read as keys:

note:
  See https://cerb.ai/docs/ for more

→ Unexpected syntax (line 2). Same mistake, but this one is loud. Don't rely on it.

So: any value that spans lines, or that contains prose, needs an annotation on its key. When in doubt, @text:.

Strings are never quoted

Values are literal text from the colon to the end of the line. Quotes are not syntax -- they become part of the value.

name: Jeff          →  "Jeff"
name: "Jeff"        →  "\"Jeff\""      ← the quotes are IN the string
name: 'Jeff'        →  "'Jeff'"

Never wrap a value in quotes to "make it a string". It already is one. Quote only when the quotes are genuinely part of the text you want.

Comments must be on their own line

A # only starts a comment at the beginning of a line (after indentation). There are no trailing comments.

# This is a comment.
name: Jeff
name: Jeff # this is NOT a comment

→ the value is "Jeff # this is NOT a comment".

Note that this cuts the other way inside an annotated text block: there, a # line is content, because the whole block is a literal value.

Types come from annotations

All values are text by default. Convert explicitly:

@bool @int @float @csv @json @list @date @key @text @raw @optional

Annotations combine with a comma (@optional,text:). @optional is honored by whatever CONSUMES the KATA rather than by the parser, so what it does depends on the command -- check that command's documentation rather than assuming it drops empty values.

Never stack @raw inside an already-raw block. Inside script@raw: / event_kata@raw: / policy_kata@raw:, use the normal annotations (if@bool:, set:). Writing if@raw,bool: {{...}} makes the condition never match.

Keys must be unique among siblings

A repeated key silently clobbers the earlier one. Where you need the same command twice under one parent, give each an alias with /:

set/init:
set/increment:
await/step:

The part before the / is what Cerb dispatches on; the part after is yours, and it may contain only letters, numbers, and underscores -- no dots.

References

&name: defines a reusable block; @ref uses it. Useful for a long value you'd otherwise repeat, and for keeping a big text block out of the middle of a script.

House style

Two-space indentation, spaces not tabs. Annotate types rather than relying on a reader to infer them.

Frequently asked questions

What does the Kata AI skill do?

KATA, the indentation-based configuration language Cerb uses for automations, toolbars, sheets, charts, workflows, policies, and more. Load it before writing any KATA -- the indentation and quoting rules are not YAML's.

Why use Kata on TypingMind?

Because you install it once and use it with any model. Kata 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 Kata 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/kata. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kata?

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 Kata?

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

Is the Kata 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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