How do I install the Generate Thesaurus skill?

Run npx skillmds@latest add majiayu000/generate-thesaurus in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Generate Thesaurus safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Generate Thesaurus?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Generate Thesaurus free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Generate Thesaurus?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Generate Thesaurus by majiayu000 — Agent Skill

Name: Generate Thesaurus
Rating: 4.666666666666667 (3 reviews)
Author: majiayu000

File contents

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):

# 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.

---name: generate-thesaurusdescription: Generate controlled vocabulary thesaurus for content domains. Creates comprehensive thesauri with preferred terms, broader/narrower/related terms.--- # 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

Generate Thesaurus