prompt-library

Manage versioned, parameterized prompts via a centralized API with local file synchronization.

3|2|Updated Mar 17, 2026

Search Tags:#automation #templates #versioning #api #sync #prompts

Ready to run

npx skills add https://github.com/broomva/skills --skill prompt-library-broomva

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: prompt-library
Source: https://github.com/broomva/skills/tree/main/skills/tooling/prompt-library
Command: npx skills add https://github.com/broomva/skills --skill prompt-library-broomva

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the fragmentation of agent instructions by providing a centralized, version-controlled repository for prompts, ensuring consistency across different AI agents and workflows.

Core Features & Use Cases

Versioned Prompt Management: Track prompt evolution with semantic versioning and metadata.
Remote Syncing: Push and pull prompts via a secure API to keep local and remote environments in sync.
Variable Substitution: Dynamically inject context into prompts using template variables at runtime.
Use Case: Maintain a library of system prompts for specialized tasks like code review or architecture analysis, allowing team members to pull the latest approved versions directly into their local development environment.

Quick Start

Use the prompt-library skill to pull the latest version of the code-review-agent prompt into your current workspace.

Frequently Asked Questions about prompt-library

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

FAQPage Schema

How do I manage and sync agent prompts across distributed environments?▼

You can manage and sync agent prompts using a centralized API with local file system synchronization, ensuring versioned system instructions stay consistent across distributed environments.

What is the best way to version control AI system prompts for a development team?▼

The best way to version control AI system prompts is through a centralized repository that tracks prompt evolution with semantic versioning and metadata, allowing team members to pull approved versions directly into their local environment.

Can I dynamically inject variables into agent templates at runtime?▼

Yes, you can dynamically inject context into agent templates at runtime using template variable substitution, allowing parameterized prompts to adapt to specific tasks like code review or architecture analysis.

Do I need OAuth authentication to pull prompts from a remote API?▼

Yes, you need OAuth-based authentication to perform remote operations like pulling and pushing prompts via the secure API to keep local and remote environments in sync.

How do I retrieve the latest version of a code review agent prompt into my workspace?▼

You retrieve the latest version of a code review agent prompt by pulling it from the centralized version-controlled repository via the API directly into your current local workspace.