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libprompt

Load and render Mustache-based .prompt.md templates from directories.

1|1|Updated Aug 7, 2025
Search Tags:#javascript#llm#library#memory#templating#prompt#mustache
One-click install
npx skills add https://github.com/copilot-ld/copilot-ld --skill libprompt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: libprompt
Source: https://github.com/copilot-ld/copilot-ld/tree/main/packages/libprompt
Command: npx skills add https://github.com/copilot-ld/copilot-ld --skill libprompt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prompts often require consistent templating and dynamic data; libprompt provides a lightweight way to load and render Mustache-based prompt templates from directories, enabling reuse and centralized prompt management.

Core Features & Use Cases

  • PromptLoader loads files with a .prompt.md extension from a directory and renders them using Mustache syntax.
  • Mustache templating supports dynamic substitution for data like agent names, capabilities, and context.
  • Use Case: A developer can organize prompts under prompts/system.prompt.md and render them at runtime with specific user data to generate system prompts for agents.

Quick Start

Use the libprompt skill to render a system prompt for a given agent by providing a data object with the required fields.

Frequently Asked Questions about libprompt

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

FAQPage Schema
How do I load and render Mustache prompt templates for LLMs from a directory?▼

To load Mustache prompt templates for LLMs, use a PromptLoader API that reads .prompt.md files from a directory and renders them with dynamic data to produce final prompts.

What is the best way to manage reusable LLM prompts with dynamic data substitution?▼

Managing reusable LLM prompts involves organizing Mustache-based template files in a directory, then loading and rendering them at runtime with specific data to generate consistent prompts across agents.

How does Mustache templating work for generating system prompts in JavaScript?▼

Mustache templating for system prompts uses syntax to dynamically substitute data like agent names and capabilities into raw templates, enabling centralized prompt management and consistent rendering.

Can I use a JavaScript library to organize and render prompt templates for multiple agents?▼

Yes, you can use a JavaScript library to render prompt templates for multiple agents by organizing files under a prompts directory and rendering them at runtime with specific data objects.

How are missing prompt template files handled during the rendering process?▼

Missing prompt template files are handled with clear errors during the rendering process, ensuring developers can quickly identify issues when the loader cannot find the specified file.

Does the prompt rendering process enforce any specific file encoding?▼

The prompt rendering process enforces UTF-8 encoding to ensure consistent text handling across loaded Mustache templates and dynamic data substitution for LLM usage.

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