prompt-library-curator

Organize prompts into a versioned library with immutable history and provenance tracking.

1|Updated Apr 16, 2026
One-click install
npx skills add https://github.com/FrogAi/Xenopus --skill prompt-library-curator-frogai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-library-curator
Source: https://github.com/FrogAi/Xenopus/tree/main/Gemini/Skills/Gemini%203.1%20Pro/prompt-library-curator
Command: npx skills add https://github.com/FrogAi/Xenopus --skill prompt-library-curator-frogai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Centralized, versioned management of reusable prompts with immutable history and auditable provenance.

Core Features & Use Cases

  • Metadata-rich prompts: each entry stores tags, description, intended-model, expected-input, expected-output, last-used, and success-rate.
  • Versioned history and governance: every save creates a new version; previous versions are preserved; supports diff, fork, and export.
  • Robust discovery and reuse: semantic search by tags, descriptions, and content to surface relevant prompts for any model or workflow.
  • Strong safeguards: secret redaction on save, verification gates, and explicit audit trails for each operation.

Quick Start

Add or update a prompt to create a new version in the library and view its history.

Frequently Asked Questions about prompt-library-curator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I maintain a versioned prompt library with immutable history for my team?

You can maintain a versioned prompt library by saving prompts with metadata like tags, intended-model, and success-rate. Every save creates a new version, preserving previous iterations for reliable reuse and full audit trails.

Can I track provenance and audit trail for prompt edits in a shared library?

Yes, the prompt library tracks explicit audit trails and provenance for every save, update, and retrieve operation. This traceable edit history ensures team governance and accountability across all prompt versions.

What is the best way to search a prompt library by tags and intended model?

The best way to search a prompt library is using semantic search by tags, descriptions, and content. This discovery mechanism surfaces relevant prompts filtered by intended-model or workflow to maximize reuse.

How do I redact secrets when saving prompts to a versioned library?

You redact secrets automatically during the save operation. The library applies strict validation and secret redaction before creating a new version, ensuring sensitive data is never stored in your prompt history.

Does the versioned prompt library support diff, fork, and export of previous versions?

Yes, the versioned prompt library supports diff, fork, and export functions. These governance features allow you to compare prompt versions, branch them for new workflows, and extract data from immutable history.

What metadata is stored with each prompt in a versioned library?

Each prompt entry stores tags, description, intended-model, expected-input, expected-output, last-used, and success-rate. This metadata-rich structure enables robust discovery, performance tracking, and precise version control.