template-design

Create parameterised prompt templates with typed variables and versioned libraries.

157|33|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/Owl-Listener/ai-design-skills --skill template-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: template-design
Source: https://github.com/Owl-Listener/ai-design-skills/tree/main/claude-plugin/prompt-architecture/skills/template-design
Command: npx skills add https://github.com/Owl-Listener/ai-design-skills --skill template-design

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prompt design often lacks a reusable, parameterised structure to ensure consistency across tasks and teams.

Core Features & Use Cases

  • Template Anatomy: Fixed text, variables, conditional sections, and default values to create flexible prompts.
  • Variable Design: Clear naming, typed values, bounds, documentation, and sensible defaults for reliable substitutions.
  • Template Patterns & Composition: Support for base templates, task overlays, context injection, and composition rules to assemble complex prompts.
  • Artefacts & Versioning: Library of templates, per-template specifications, test inputs, and changelogs for governance.
  • Use Cases: Create task templates, persona templates, and format templates across domains.

Quick Start

Provide a base template and a set of variables to generate a reusable prompt for a defined task.

Frequently Asked Questions about template-design

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

FAQPage Schema
How do I create reusable prompt templates with variables for consistent outputs?

Reusable prompt templates use fixed text combined with clearly named, typed, and bounded variables filled at runtime to standardize outputs across tasks. You define default values and conditional sections to ensure reliable substitutions across domains.

What is parameterised prompt design and when do I need it?

Parameterised prompt design structures prompts with named variables and context injection to ensure consistency across teams. You need it when applying standardized task, persona, or format templates across multiple domains to avoid repetitive manual prompt engineering.

How do I manage a prompt template library with versioning and change logs?

Managing a prompt template library involves maintaining per-template specifications, test inputs, and changelogs for governance. You apply versioning to track modifications to base templates and overlays, ensuring controlled updates to your parameterised prompts.

Can I compose complex prompts using base templates and overlays?

Yes, complex prompts are assembled using base templates with task overlays and context injection. You apply composition rules to combine fixed text, conditional sections, and parameterised variables, creating flexible prompts for diverse domain requirements.

What's the best way to standardize persona and format templates across domains?

The best way to standardize persona and format templates is building a parameterised library with documented variables and per-template specifications. You use sensible defaults and bounded values to guarantee consistent prompt behavior across different domains.

What are the limitations of using parameterised templates for prompt design?

Limitations of parameterised templates include the strict requirement for variables to be clearly named, typed, bounded, and documented. Without proper governance via changelogs and test inputs, context injection and overlay composition can produce unreliable prompt substitutions.