Prompting

Generate structured prompts from data using Handlebars-based templates and predefined primitives.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/davdunc/Alvin --skill prompting-davdunc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Prompting
Source: https://github.com/davdunc/Alvin/tree/main/Packs/pai-prompting-skill/src/skills/Prompting
Command: npx skills add https://github.com/davdunc/Alvin --skill prompting-davdunc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It centralizes prompt engineering by unifying meta-prompting, templates, and standards into a single, reusable system.

Core Features & Use Cases

  • Templates and Primitives: Handlebars-based primitives for programmatic prompt generation (ROSTER, VOICE, STRUCTURE, BRIEFING, GATE)
  • Standards & Validation: Documentation and checks aligned with Claude 4.x best practices and context engineering principles
  • Agent & Task Workflows: Generate dynamic prompts for agents, workflows, and research prompts from structured data

Quick Start

Provide a data context and render a final prompt using the Templates system.

Frequently Asked Questions about Prompting

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

FAQPage Schema
How do I automate prompt engineering for agents using dynamic templates?

You can automate prompt engineering by centralizing meta-prompting, templates, and standards into a single system. This Skill generates dynamic prompts from data for agent workflows by applying predefined primitives and a Handlebars-based renderer.

What is meta-prompting and how does it work with structured data?

Meta-prompting generates dynamic prompts from structured data by applying predefined primitives like ROSTER, VOICE, STRUCTURE, BRIEFING, and GATE. A Handlebars-based renderer processes these templates alongside a standards guide to produce structured, compliant prompts.

Can I use Handlebars templates to generate prompts from data sources?

Yes, you can use a Handlebars-based renderer to generate prompts from data sources. The system applies predefined primitives and a standards guide to produce structured, compliant prompts for agent design, task automation, and research prompting.

Do I need a standards guide to produce compliant prompts for agent design?

Yes, a standards guide is required alongside predefined primitives and data sources to produce structured, compliant prompts. The system aligns documentation and validation checks with Claude 4.x best practices and context engineering principles.

What's the best way to standardize prompt generation across multiple workflows?

The best way to standardize prompt generation is by unifying meta-prompting, templates, and standards into a single, reusable system. Applying predefined primitives like ROSTER, VOICE, STRUCTURE, BRIEFING, and GATE ensures consistent prompt generation across varied contexts.

Why does my dynamic prompt generation lack consistency across different agents?

Dynamic prompt generation lacks consistency when templates, standards, and meta-prompting are not centralized. Applying a unified system with predefined primitives, a Handlebars renderer, and a standards guide ensures structured, compliant prompts across agents.