Prompting

Name: Prompting
Availability: InStock
Author: starlink-awaken

Generate and compose prompts using Handlebars templates with YAML or JSON data.

1|Updated Jun 10, 2026

Search Tags:#templates #templating #meta-prompting #prompting #prompt-engineering #handlebars

Ready to run

npx skills add https://github.com/starlink-awaken/pai-universal --skill prompting-starlink-awaken

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Prompting
Source: https://github.com/starlink-awaken/pai-universal/tree/main/templates/packs/Prompting/src
Command: npx skills add https://github.com/starlink-awaken/pai-universal --skill prompting-starlink-awaken

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a centralized, reusable framework for designing, rendering, and managing prompts as programmable modules, enabling scalable meta-prompting and prompt engineering across agents, evaluations, and workflows.

Core Features & Use Cases

Standards.md-based best practices, context-engineering principles, and Fabric-style prompt patterns to guide prompt design.
Templates & Tools: Handlebars-based templating and a rendering engine to compose prompts from data, templates, and partials.
Use Cases: Generate agent briefs, eval prompts, and workflow prompts by composing standard primitives and data sources.

Quick Start

Render a sample agent briefing by running RenderTemplate with Primitives/Briefing.hbs and Data/Agents.yaml.

Frequently Asked Questions about Prompting

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

FAQPage Schema

How do I manage prompt engineering templates at scale for multiple AI agents?▼

Prompt engineering templates at scale are managed by composing programmable modules using a Handlebars rendering engine and YAML/JSON data sources. This framework allows you to generate and standardize agent briefs and workflow prompts centrally.

What is meta-prompting and how does a templating system apply to it?▼

Meta-prompting is the practice of programmatically generating and optimizing prompts. A Handlebars-based templating system applies to this by rendering prompts from standard primitives and data sources, enabling scalable composition across agents and evaluations.

Can I use YAML and JSON data sources to generate agent briefs automatically?▼

Yes, you can generate agent briefs automatically by running the RenderTemplate engine with Handlebars templates and YAML/JSON data sources. This composes standardized prompts directly from your structured data files.

How do I compose evaluation prompts using a programmatic framework?▼

Compose evaluation prompts by applying context-engineering principles and Fabric-style prompt patterns through a rendering engine. You combine standard template primitives with structured data sources to generate consistent eval prompts.

Does this prompt optimization framework work without external dependencies?▼

Yes, this prompt optimization framework operates without external dependencies. It relies entirely on an internal Handlebars-based rendering engine and standard YAML/JSON data sources to compose and manage prompt templates.

When should I use a programmatic prompt template instead of writing prompts manually?▼

Use a programmatic prompt template when you need to scale meta-prompting across multiple agents, evaluations, or development workflows. It replaces manual writing with reusable, standardized modules rendered from data sources for consistency.