Generate Taxonomy

Community

dandye

generate-taxonomy

Develop hierarchical classification systems. Creates parent-child categorical structures for content organization.

Overview

Publisher	dandye
Repository	`ai-runbooks`
Skill name	`generate-taxonomy`
Stars	126
Forks	34
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by dandye on GitHub. Read the source before you install it.

Installation

Install the Generate Taxonomy 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/dandye/ai-runbooks.git /tmp/ai-runbooks
mkdir -p .claude/skills
cp -r /tmp/ai-runbooks/skills/generate-taxonomy .claude/skills/generate-taxonomy

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

Use it in TypingMind

Enable Generate Taxonomy 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 Generate Taxonomy 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 Generate Taxonomy 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.

Generate Taxonomy Skill

Develop a hierarchical classification system or taxonomy for a knowledge base or content repository. This skill creates parent-child categorical structures to organize content effectively.

Inputs

PATH - The content source to analyze (e.g., "/knowledge-base")
FACETED - (Optional) Boolean, whether to create a faceted classification (multiple dimensions) (default: false)
BUSINESS_ALIGNMENT - (Optional) Boolean, whether to align with specific business goals/terminology (default: true)
USER_TESTING - (Optional) Boolean, whether to include user validation methodologies in the output (default: false)

Workflow

Step 1: Content Analysis & Term Extraction

Analyze the content at PATH to identify key topics, subjects, and categories.

Cluster documents by similarity.
Extract common tags and keywords.

Step 2: Structure Design

Organize the extracted concepts into a hierarchy.

Hierarchical: Define Broader Terms (Parent) and Narrower Terms (Child).
Faceted (if enabled): Define dimensions (e.g., Topic, Format, Audience, Region).

Step 3: Business & User Alignment

Align terms with business vocabulary (if BUSINESS_ALIGNMENT is true).
If USER_TESTING is true, generate a plan for card sorting or tree testing to validate the structure.

Step 4: Taxonomy Definition

Output the defined taxonomy.

Required Outputs

A TAXONOMY_DEFINITION document (e.g., in markdown or YAML format) containing:

Taxonomy Tree: Visual or indented list of categories.
Facets (if requested): Definitions of classification dimensions.
Rules: Guidelines for applying the taxonomy.
Testing Plan (if requested): Methodologies for validation.

Quick Reference

Purpose: Systematically classify content for retrieval optimization.
Types: Hierarchical (Tree) vs. Faceted (Matrix).

Frequently asked questions

What does the Generate Taxonomy AI skill do?

Develop hierarchical classification systems. Creates parent-child categorical structures for content organization.

Why use Generate Taxonomy on TypingMind?

Because you install it once and use it with any model. Generate Taxonomy 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 Generate Taxonomy in TypingMind?

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

Which AI models can use Generate Taxonomy?

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 Generate Taxonomy?

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

Is the Generate Taxonomy AI skill free?

Yes. It is published on GitHub by dandye 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

Generate Taxonomy Skill

Inputs

Workflow

Step 1: Content Analysis & Term Extraction

Step 2: Structure Design

Step 3: Business & User Alignment

Step 4: Taxonomy Definition

Required Outputs

Quick Reference

Frequently asked questions

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