Journey Schema

Organization

butterbase-ai

journey-schema

Use as the schema build stage of the Butterbase journey, after journey-plan and journey-preflight. Implements the Tables section of 02-plan.md by delegating to schema-design, previewing the diff (manage_schema dry_run) and applying it (manage_schema apply). In hackathon_mode, also folds in the RLS stage by invoking journey-rls inline before returning.

Overview

Publisher	butterbase-ai
Repository	`butterbase-skills`
Skill name	`journey-schema`
Stars	535
Forks	42
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 butterbase-ai on GitHub. Read the source before you install it.

Installation

Install the Journey Schema 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/butterbase-ai/butterbase-skills/tree/main/skills/journey-schema
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/butterbase-ai/butterbase-skills.git /tmp/butterbase-skills
mkdir -p .claude/skills
cp -r /tmp/butterbase-skills/skills/journey-schema .claude/skills/journey-schema

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

Use it in TypingMind

Enable Journey Schema 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 Journey Schema 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 Journey Schema 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.

Journey: Schema

Stage 3a of the guided journey. Apply the declarative table definitions from the plan.

When to use

Dispatched by journey when current_stage: schema.
Directly via /butterbase-skills:journey-schema.

Preflight

If docs/butterbase/03-preflight.md is missing, older than 24 hours, or 00-state.md has app_id: null, invoke butterbase-skills:journey-preflight first. Wait for it to return successfully before proceeding.

Inputs

docs/butterbase/02-plan.md — the Tables section.
docs/butterbase/00-state.md — for app_id, hackathon_mode.

Procedure

Refresh docs. Call butterbase_docs with topic: "schema". If the plan calls for advanced schema features (vectors, partial indexes, generated columns), also WebFetch https://docs.butterbase.ai/schema. Skip this step if docs/butterbase/03b-docs-cache.md was written less than 30 minutes ago and already covers schema.
Read the Tables section of 02-plan.md. Print it back: "About to apply schema: <N tables>. Proceed?". Wait for yes.
Invoke butterbase-skills:schema-design via the Skill tool, passing the Tables section and app_id. The wrapped skill will build the declarative schema, dry-run it with manage_schema action: dry_run, then apply with action: apply after user approval of the diff.
After it returns, optionally run a sanity manage_schema action: get and show the user the live shape.
Hackathon mode only: if 00-state.md has hackathon_mode: true, also invoke butterbase-skills:journey-rls inline now. After it returns, mark the rls checkbox as (folded) in 00-state.md rather than leaving it unchecked.
Append one line to docs/butterbase/04-build-log.md (create if absent): <ISO timestamp> schema manage_schema ok
Tick - [x] schema in 00-state.md, set current_stage: to the next unchecked stage (typically rls outside hackathon mode, otherwise the stage after rls), bump last_updated.
Return to journey orchestrator (or, if invoked directly, ask: "Continue to the next stage? (yes/no)").

Outputs

Live schema in the Butterbase app.
One line in 04-build-log.md.
Updated 00-state.md.

Anti-patterns

❌ Calling manage_schema action: apply without showing the user the dry-run diff.
❌ Forgetting _drop: / _dropColumns: are needed for destructive changes — never set them without explicit user confirmation.
❌ Forgetting the hackathon-mode RLS fold.

Frequently asked questions

What does the Journey Schema AI skill do?

Why use Journey Schema on TypingMind?

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

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

Which AI models can use Journey Schema?

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 Journey Schema?

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

Is the Journey Schema AI skill free?

Yes. It is published on GitHub by butterbase-ai 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

Journey: Schema

When to use

Preflight

Inputs

Procedure

Outputs

Anti-patterns

Frequently asked questions

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