Data Sharing And Publishing Contracts

Community

vaquarkhan

data-sharing-and-publishing-contracts

Guides agents through publishing data products for internal or external consumers. Use when sharing tables, files, extracts, APIs, or reverse-ETL-ready outputs that require stable contracts, ownership, and communication.

Overview

Publisher	vaquarkhan
Repository	`data-engineering-agent-skills`
Skill name	`data-sharing-and-publishing-contracts`
Stars	60
Forks	8
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 vaquarkhan on GitHub. Read the source before you install it.

Installation

Install the Data Sharing And Publishing Contracts 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/vaquarkhan/data-engineering-agent-skills/tree/main/skills/data-sharing-and-publishing-contracts
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/vaquarkhan/data-engineering-agent-skills/tree/main/skills/data-sharing-and-publishing-contracts

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/vaquarkhan/data-engineering-agent-skills.git /tmp/data-engineering-agent-skills
mkdir -p .claude/skills
cp -r /tmp/data-engineering-agent-skills/skills/data-sharing-and-publishing-contracts .claude/skills/data-sharing-and-publishing-contracts

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

Use it in TypingMind

Enable Data Sharing And Publishing Contracts 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 Data Sharing And Publishing Contracts 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 Data Sharing And Publishing Contracts 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.

Data Sharing And Publishing Contracts

Overview

Use this skill when data leaves the producing team and becomes a product for other teams, systems, or partners. It helps agents define stable publish contracts with ownership, compatibility, and operational expectations.

When to Use

publishing curated tables or marts
sharing extracts or files with other teams or partners
exposing governed data through APIs or reverse ETL
modifying an existing consumer-facing dataset

Do not publish widely-used data with implicit contracts.

Workflow

Define the published contract. Include:
- owner
- audience
- schema
- grain
- delivery method
- freshness and retention expectations
Identify compatibility and versioning needs.
Define access and usage boundaries. Capture:
- allowed consumers
- privacy constraints
- SLA expectations
- communication path for changes
Validate publish readiness before release.
Document change policy. Consumers should know what can change, how they will be notified, and how long deprecated behavior lasts.

Common Rationalizations

Rationalization	Reality
"It is just one extract for another team."	One-off exports often become critical dependencies.
"Consumers can ask if something changes."	Many consumers only discover changes after failure.
"The schema tells them everything they need."	Delivery timing, freshness, retention, and ownership matter too.

Red Flags

published outputs have no owner
delivery or freshness expectations are missing
breaking changes are shipped without versioning or notice
access boundaries are unclear for shared datasets

Verification

The publish contract covers audience, schema, delivery, and freshness
Ownership and communication path are defined
Compatibility and access expectations are explicit
Release readiness is validated before consumers depend on it

Frequently asked questions

What does the Data Sharing And Publishing Contracts AI skill do?

Why use Data Sharing And Publishing Contracts on TypingMind?

Because you install it once and use it with any model. Data Sharing And Publishing Contracts 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 Data Sharing And Publishing Contracts in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vaquarkhan/data-engineering-agent-skills/tree/main/skills/data-sharing-and-publishing-contracts. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Data Sharing And Publishing Contracts?

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 Data Sharing And Publishing Contracts?

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

Is the Data Sharing And Publishing Contracts AI skill free?

Yes. It is published on GitHub by vaquarkhan 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

Data Sharing And Publishing Contracts

Overview

When to Use

Workflow

Common Rationalizations

Red Flags

Verification

Frequently asked questions

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