Slot Scaffolder logo

Slot Scaffolder

Organization
openqa-cn
slot-scaffolder

Generate a domain data-build slot from OpenAPI files: new business-domain pack, scaffold a data-build skill, or add an enterprise custom domain. Internal helper of the parent pack; reach this through codexqa-testdata-generator.

Overview

Publisheropenqa-cn
Repositorycodexqa
Skill nameslot-scaffolder
Stars
233
Forks
3
Bundled files
1
LicenseApache-2.0
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.

  • 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 openqa-cn on GitHub. Read the source before you install it.

Installation

Install the Slot Scaffolder 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/openqa-cn/codexqa/tree/main/skills/codexqa-testdata-generator/slot-scaffolder
  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/openqa-cn/codexqa.git /tmp/codexqa
mkdir -p .claude/skills
cp -r /tmp/codexqa/skills/codexqa-testdata-generator/slot-scaffolder .claude/skills/slot-scaffolder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Slot Scaffolder 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 Slot Scaffolder 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 Slot Scaffolder 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.

Slot scaffolder

Bundled sub-skill of codexqa-testdata-generator: turn an OpenAPI directory plus a domain name into a slot that matches ../slots/SLOT_SPEC.md, the single copy of that contract.

Inputs

domain and openapi are the prerequisite materials. If either is missing, or the OpenAPI directory has no .yaml / .yml / .json files, stop and ask. Do not invent operations or scaffold an empty slot. After the user provides them, generate the slot. Do not collect executor fields.

FieldMeaningRequired
domainShort English slug (payments, logistics)yes
openapiDirectory of OpenAPI YAML/JSON files (at least one spec)yes
outputDestination directory (default ../slots/<domain>)no

Run

bash
node scripts/scaffold_slot.ts \
  --domain <domain> \
  --openapi <openapi-dir> \
  --output <output-dir>

The script writes slot.yaml (the one config), executor stubs, generated SKILL.md / tools-guide.md, and copies OpenAPI into assets/openapi/.

Slots under ./slots/<domain> are discovered automatically. If the skill lives elsewhere, add one line:

yaml
workspace:
  slot_roots:
    - /path/to/company-slots

After generation

  1. Implement each stub main(params) against DATA_BUILD_API_BASE (timeouts; never shell: true; missing required IDs must fail)
  2. Add scenes (and optional aliases / invokeParams) in slot.yaml only. List more specific entities before generic ones
  3. Refresh generated docs: node ../scripts/sync_slot.ts --dir <slot>
    Hand-written SKILL.md is left alone unless it is generated-from: slot.yaml or you pass --force
  4. Smoke-test: node ../scripts/search_data_build.ts --keywords <domain> --json

Do not add skill_marketplace.paths or api_catalog.paths. Search, OpenAPI index, and case-pipeline bind all read slots/ + workspace.slot_roots. If slot.yaml is omitted, entities are inferred from scripts/executors/* and assets/openapi operationIds.

Human operators: ../HOW_IT_WORKS.md. Agents stay on this file and ../slots/SLOT_SPEC.md.

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 Slot Scaffolder AI skill do?

Generate a domain data-build slot from OpenAPI files: new business-domain pack, scaffold a data-build skill, or add an enterprise custom domain. Internal helper of the parent pack; reach this through codexqa-testdata-generator.

Why use Slot Scaffolder on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openqa-cn/codexqa/tree/main/skills/codexqa-testdata-generator/slot-scaffolder. 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 Slot Scaffolder?

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 Slot Scaffolder?

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

Is the Slot Scaffolder AI skill free?

Yes. It is published on GitHub by openqa-cn under the Apache-2.0 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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