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Generate Thesaurus

Community
dandye
generate-thesaurus

Generate controlled vocabulary thesaurus for content domains. Creates comprehensive thesauri with preferred terms, broader/narrower/related terms.

Overview

Publisherdandye
Repositoryai-runbooks
Skill namegenerate-thesaurus
Stars
126
Forks
34
Bundled files
Instructions only
LicenseApache-2.0
Links
  • 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 Thesaurus AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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-thesaurus .claude/skills/generate-thesaurus
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Generate Thesaurus 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 Thesaurus 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 Thesaurus 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 Thesaurus Skill

Generate a controlled vocabulary thesaurus for a specified content domain or directory. This skill analyzes content to identify key terms and structures them into a thesaurus with relationships (broader, narrower, related terms).

Inputs

  • PATH - The directory or file path to analyze (e.g., "/docs/security")
  • RECURSIVE - (Optional) Boolean, whether to include subdirectories (default: true)
  • OUTPUT_FORMAT - (Optional) Format of the output: "markdown", "yaml", "json", "csv" (default: "markdown")

Workflow

Step 1: Content Analysis

Analyze the content at PATH to identify frequently used terms, concepts, and entities. This involves scanning documentation files (Markdown, Text, etc.) to extract potential vocabulary candidates.

Step 2: Term Extraction & Relationship Mapping

Identify relationships between terms based on context and standard taxonomies:

  • Preferred Terms: The standard term to be used (e.g., "Multi-Factor Authentication" instead of "MFA").
  • Broader Terms: More general concepts (e.g., "Access Control" is broader than "Authentication").
  • Narrower Terms: More specific sub-concepts (e.g., "Biometrics" is narrower than "Authentication").
  • Related Terms: Associative relationships (e.g., "Identity Management" is related to "Authentication").

Step 3: Thesaurus Generation

Format the collected terms and relationships into the requested OUTPUT_FORMAT.

Example Output (Markdown):

markdown
# Security Thesaurus

## Authentication
*   **Scope Note**: verification of the identity of a user, process, or device
*   **Broader Term**: Access Control
*   **Narrower Terms**: Multi-Factor Authentication, Single Sign-On
*   **Related Terms**: Authorization, Identity Management

Required Outputs

A THESAURUS_DOCUMENT in the specified OUTPUT_FORMAT containing:

  • List of terms
  • Relationships (BT, NT, RT)
  • Scope notes (definitions)
  • Synonyms or "Use For" entries

Quick Reference

  • Purpose: Ensure consistent terminology and improve content findability.
  • Best Practice: Include scope notes for ambiguous terms.
  • Standards: Follows ISO 25964 standards for thesaurus construction where applicable.

Frequently asked questions

What does the Generate Thesaurus AI skill do?

Generate controlled vocabulary thesaurus for content domains. Creates comprehensive thesauri with preferred terms, broader/narrower/related terms.

Why use Generate Thesaurus on TypingMind?

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

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

Which AI models can use Generate Thesaurus?

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 Thesaurus?

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

Is the Generate Thesaurus 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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