Collibra Chip

Organization

Kilo-Org

collibra-chip

This skill should be used when a connected Collibra Chip MCP server can provide domain-specific Collibra workflows and references.

Overview

Publisher	Kilo-Org
Repository	`kilo-marketplace`
Skill name	`collibra-chip`
Stars	179
Forks	168
Bundled files	1
License	Apache-2.0
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.
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 Kilo-Org on GitHub. Read the source before you install it.

Installation

Install the Collibra Chip 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.
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/Kilo-Org/kilo-marketplace.git /tmp/kilo-marketplace
mkdir -p .claude/skills
cp -r /tmp/kilo-marketplace/skills/collibra-chip .claude/skills/collibra-chip

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

Use it in TypingMind

Enable Collibra Chip 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 Collibra Chip 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 Collibra Chip 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.

Collibra Chip MCP Skill Discovery

Collibra Chip serves its detailed guides at runtime through MCP. This package is a Kilo-facing routing guide; it does not contain an upstream source tree or embedded copies of the Collibra guides.

Required Tools

Use the connected Chip MCP server's advertised tools. The expected capabilities are:

list_collibra_skills: discover available guides and descriptions
load_collibra_skill: load a guide body, metadata, or one of its bundled references

Tool names can be namespaced by the MCP client. Match by the advertised tool name and schema rather than hard-coding a namespace.

Workflow

Confirm that the Collibra Chip MCP server is connected.
Call list_collibra_skills, requesting descriptions when the schema supports that option.
If the task is ambiguous, select the catalog/index guide first. Otherwise choose the narrowest matching guide.
Call load_collibra_skill for that guide's body.
Load a bundled reference only when the guide identifies it as necessary.
Follow the loaded guide and the live MCP tool schemas. Do not infer operation names, UUID formats, or mutation payloads from this router.

Common Routing Topics

Depending on the server version, the catalog may include guides for discovery, technical lineage, asset creation, and asset editing. Treat this list as orientation only; the result of list_collibra_skills is authoritative.

Discovery: semantic versus keyword search and resolving names to UUIDs
Lineage: technical lineage and identifier bridging
Asset creation: duplicate checks, required fields, and rich-text handling
Asset editing: supported operation types and safe update sequencing

Safety

Resolve human-readable names to identifiers before mutations.
Read the target asset before editing it.
Ask for confirmation before destructive or broad updates.
Preserve the exact rich-text and operation formats specified by the loaded guide.
If the MCP server is unavailable or a listed guide cannot be loaded, state that the workflow is unavailable; do not substitute nonexistent local files.

Bundled files

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

local.patch5 KB

Frequently asked questions

What does the Collibra Chip AI skill do?

This skill should be used when a connected Collibra Chip MCP server can provide domain-specific Collibra workflows and references.

Why use Collibra Chip on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/collibra-chip. 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 Collibra Chip?

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 Collibra Chip?

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

Is the Collibra Chip AI skill free?

Yes. It is published on GitHub by Kilo-Org 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Collibra Chip MCP Skill Discovery

Required Tools

Workflow

Common Routing Topics

Safety

Bundled files

Frequently asked questions

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