Knowledge Refresh

Community

DataWithBaraa

knowledge-refresh

Use after a release, to compare the knowledge Claude Code reads, CLAUDE.md, the standards, the source pages and the incident log, with the code and the data, and propose what is stale, missing or wrong.

Overview

Publisher	DataWithBaraa
Repository	`claude-code-data-engineering-skills`
Skill name	`knowledge-refresh`
Stars	66
Forks	22
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 DataWithBaraa on GitHub. Read the source before you install it.

Installation

Install the Knowledge Refresh 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/DataWithBaraa/claude-code-data-engineering-skills/tree/main/skills/knowledge-refresh
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/DataWithBaraa/claude-code-data-engineering-skills/tree/main/skills/knowledge-refresh

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/DataWithBaraa/claude-code-data-engineering-skills.git /tmp/claude-code-data-engineering-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-data-engineering-skills/skills/knowledge-refresh .claude/skills/knowledge-refresh

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

Use it in TypingMind

Enable Knowledge Refresh 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 Knowledge Refresh 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 Knowledge Refresh 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.

Knowledge refresh

The job: keep the knowledge that Claude Code reads true to the project: CLAUDE.md and the knowledge folder. It proposes, and after the data engineer's yes it writes the approved changes. The runbook and the how-to guides belong to the docs skill.

Input: none, or the area to check.

Steps

CLAUDE.md: every folder it names exists, every skill is listed, every path is right.
The standards against the code: naming, layers, code style.
The sources against the contracts and the files: one page per source, current.
The business: the glossary and the stakeholders against the documents.
The architecture and the core model against what is built.
The known issues and the incident log: what a run has proven since. The incident skill adds the entries, this skill checks them.
The decision log: what is decided, what is still open.
A document nobody has read yet: what it adds to the knowledge.
Keep it short: what repeats another file is cut and linked.
Report every finding as a proposal: the file, what it says, what is true.

Output

A list of proposals, one per finding: the file, what it says, what is true, and the change. After the yes, the approved changes in the knowledge files.

Reads

the knowledge, the code, the data contracts, the documents, the run records

Writes

nothing until the yes, then only the knowledge files the data engineer approved

Never

Never applies a change without the yes.

Frequently asked questions

What does the Knowledge Refresh AI skill do?

Why use Knowledge Refresh on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DataWithBaraa/claude-code-data-engineering-skills/tree/main/skills/knowledge-refresh. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Knowledge Refresh?

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 Knowledge Refresh?

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

Is the Knowledge Refresh AI skill free?

Yes. It is published on GitHub by DataWithBaraa 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

Knowledge refresh

Steps

Output

Reads

Writes

Never

Frequently asked questions

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