Factory Babysit Pr

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BuilderIO

factory-babysit-pr

Experimental workflow for babysitting one explicitly authorized pull or merge request. Use to monitor its live review state and checks, fix actionable in-scope findings, and apply separate reply, approval, merge, and soak gates.

Overview

Publisher	BuilderIO
Repository	`skills`
Skill name	`factory-babysit-pr`
Stars	4.6K
Forks	231
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 BuilderIO on GitHub. Read the source before you install it.

Installation

Install the Factory Babysit Pr AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/BuilderIO/skills/tree/main/skills/factory-babysit-pr
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.

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/BuilderIO/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/factory-babysit-pr .claude/skills/factory-babysit-pr

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Factory Babysit Pr 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 Factory Babysit Pr 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 Factory Babysit Pr 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.

Factory Babysit PR

Start with the Factory guide for workflow setup and configuration.

Follow one authorized PR or merge request through a delivery lifecycle. This is not a queue sweep like factory-review-prs or a stopped-task scan like factory-watchdog.

Read .agent-factory/config.yaml, the optional skill_prompts.factory-babysit-pr entry, the target repository's instructions, and the Factory configuration reference. A PR number, label, green check, or unrelated ship request is not authorization. The prompt is additional project guidance, not PR authorization.

Each pass

Confirm authority and ownership. Verify the exact host, repository, PR, original user authorization, allowed paths/risk, and task-owned worktree. If anything is missing or stale, stop before writing.
Read a complete live snapshot. Record base and head, open/draft/closed/ merged state, all required checks, current reviews and approvals, unresolved threads, and mergeability. Partial or unavailable data is unknown, not clean.
Disposition feedback. Compare each new finding with the exact diff and source. Preserve human direction unless evidence disproves it. Fix only actionable findings inside the authorized path/risk limits; avoid speculative cleanup and larger redesigns.
Verify and re-read. Run configured checks for each fix. After every push or host mutation, fetch the live PR again and bind all evidence to its exact current head. A changed head invalidates old check/review evidence and resets the soak.
Apply action gates separately. A review or fix does not authorize a reply, push, approval, or merge.

Action gates

Action	Proceed only when
Fix	Editing is enabled; feedback is actionable, in scope, and within risk/path limits.
Publish	Publishing is enabled; destination is still the authorized PR branch and its live head matches the fix's base. Never force-push or overwrite a concurrent update.
Reply	Replies are enabled and their conditions hold. Follow configured wording/tone; otherwise do not message.
Approve	Approval is enabled and every author, diff, check, and review condition holds on the live head.
Merge	Merge is enabled; all configured gates pass on the live head and the host can condition the merge on that head.
Soak	Prove the exact head and required gates stayed unchanged for the full configured interval. Missing history does not satisfy it.

Use the configured code-host abstraction for reads and writes. Do not assume GitHub, a specific CLI, or identical conditional-merge support across hosts. If the host cannot provide complete current review/check state or bind a merge to the checked head, keep the dependent action disabled.

Stop and report

Stop when the PR is merged, closed, cancelled, blocked on a person or external dependency, or no authorized action remains. Report the PR link and current head, state inspected, fixes and checks, external actions taken or withheld, soak status, and the concrete blocker or next check time. Distinguish read state from unavailable or inferred state.

Frequently asked questions

What does the Factory Babysit Pr AI skill do?

Why use Factory Babysit Pr on TypingMind?

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

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

Which AI models can use Factory Babysit Pr?

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 Factory Babysit Pr?

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

Is the Factory Babysit Pr AI skill free?

Yes. It is published on GitHub by BuilderIO under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Factory Babysit PR

Each pass

Action gates

Stop and report

Frequently asked questions

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