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Babysit

Organization
Asymmetric-al
babysit

Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)

Overview

PublisherAsymmetric-al
Repositorycore
Skill namebabysit
Stars
383
Forks
7
Bundled files
2
LicenseAGPL-3.0
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.

  • 2 bundled files

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

  • Open source

    Published by Asymmetric-al on GitHub. Read the source before you install it.

Installation

Install the Babysit 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.
  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/Asymmetric-al/core.git /tmp/core
mkdir -p .claude/skills
cp -r /tmp/core/docs/ai/skills/babysit .claude/skills/babysit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Babysit 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 Babysit 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 Babysit 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.

babysit

Orchestrate .a5c/runs/<runId>/ through iterative execution.

Dependencies

Babysitter SDK and CLI

Resolve the repository root and read the reviewed SDK version from docs/ai/skills/babysit/versions.json. Stop immediately if the repository root or an exact package version cannot be resolved:

bash
REPO_ROOT=$(git rev-parse --show-toplevel) || exit 1
SDK_VERSION=$(
  node -e '
const fs = require("node:fs");
const path = require("node:path");

const versionsPath = path.join(
  process.argv[1],
  "docs/ai/skills/babysit/versions.json",
);
const exactVersionPattern = /^(?:0|[1-9]\d*)\.(?:0|[1-9]\d*)\.(?:0|[1-9]\d*)(?:-[0-9A-Za-z-]+(?:\.[0-9A-Za-z-]+)*)?(?:\+[0-9A-Za-z-]+(?:\.[0-9A-Za-z-]+)*)?$/;

try {
  const versions = JSON.parse(fs.readFileSync(versionsPath, "utf8"));
  const sdkVersion = versions.sdkVersion;

  if (typeof sdkVersion !== "string" || !exactVersionPattern.test(sdkVersion)) {
    throw new Error("sdkVersion must be a nonempty exact package version");
  }

  process.stdout.write(sdkVersion);
} catch (error) {
  console.error(`Unable to resolve the pinned Babysitter SDK version: ${error.message}`);
  process.exit(1);
}
' "$REPO_ROOT"
) || exit 1

CLI="npx -y @a5c-ai/babysitter-sdk@$SDK_VERSION"

jq

Make sure jq is installed and available in the path. If not, install it.

Instructions

Run the following command to get full orchestration instructions:

bash
$CLI instructions:babysit-skill --harness cursor --json

Follow the instructions returned by the command above to orchestrate the run.

Cursor -- In-Turn Loop Model

IMPORTANT: Cursor does NOT have a Stop hook that can drive the orchestration loop between turns. Unlike Claude Code, there is no hook mechanism to automatically re-enter the orchestration loop.

Therefore, you MUST use in-turn iteration: run the full orchestration loop within a single session turn. The pattern is:

  1. $CLI run:iterate --json -- get pending actions
  2. For each pending action: execute it (run tasks, post results via task:post)
  3. $CLI run:iterate --json -- check for more pending actions
  4. Repeat steps 2-3 until run completes or reaches a breakpoint requiring user input
  5. If a breakpoint requires user input, ask the user and post the response, then continue iterating

All iteration happens within the same turn -- do NOT rely on hooks to re-enter the orchestration loop. The agent drives the loop directly by calling run:iterate repeatedly until completion.

Loop Example

bash
# Initial iterate
RESULT=$($CLI run:iterate --run-id "$RUN_ID" --json)
STATUS=$(echo "$RESULT" | jq -r '.status')

while [ "$STATUS" != "completed" ] && [ "$STATUS" != "failed" ]; do
  # Process pending actions from RESULT
  # ... execute tasks, post results ...

  # Iterate again
  RESULT=$($CLI run:iterate --run-id "$RUN_ID" --json)
  STATUS=$(echo "$RESULT" | jq -r '.status')
done

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 Babysit AI skill do?

Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)

Why use Babysit on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Asymmetric-al/core/tree/develop/docs/ai/skills/babysit. 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 Babysit?

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 Babysit?

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

Is the Babysit AI skill free?

Yes. It is published on GitHub by Asymmetric-al under the AGPL-3.0 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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