Factory

Community

owainlewis

factory

Delivers a spec or decided task through the task-to-pr workflow and merges after all quality and approval gates pass. Explicit invocation grants merge authority for the supplied work.

Overview

Publisher	owainlewis
Repository	`blueprint`
Skill name	`factory`
Stars	419
Forks	73
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by owainlewis on GitHub. Read the source before you install it.

Installation

Install the Factory 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/owainlewis/blueprint/tree/main/skills/factory
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/owainlewis/blueprint.git /tmp/blueprint
mkdir -p .claude/skills
cp -r /tmp/blueprint/skills/factory .claude/skills/factory

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

Use it in TypingMind

Enable Factory 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 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 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

Deliver the supplied work through a verified merge.

Explicitly invoking /factory authorizes merging only the supplied work after all gates pass. Automatic skill selection does not grant merge authority; leave the PR open unless the user explicitly authorizes merging. Deployment and release publication require separate authority.

Read required skills directly from their SKILL.md files as instructions for this workflow. Do not invoke them through a skill command that the client blocks.

Process

Read the source and repository instructions. The spec is the ticket; reuse it rather than creating separate product and technical specs.
Follow /task-to-pr, including tests, fresh independent review, CI, and the full repair loop. Pass the scoped merge authority when it exists. Keep the same quality standard.
Use its merge gates. If a required approval, decision, or check is unavailable, report the blocker and leave the PR open. Never bypass a gate to finish unattended work.
Confirm the merge on GitHub and update the original issue when one exists. Follow /task-to-pr worktree cleanup rules.

Return

Report the merged PR and proof, or the open PR and exact merge blocker.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB

Frequently asked questions

What does the Factory AI skill do?

Delivers a spec or decided task through the task-to-pr workflow and merges after all quality and approval gates pass. Explicit invocation grants merge authority for the supplied work.

Why use Factory on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/owainlewis/blueprint/tree/main/skills/factory. 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 Factory?

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?

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

Is the Factory AI skill free?

Yes. It is published on GitHub by owainlewis 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

Process

Return

Bundled files

Frequently asked questions

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