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prompt-architect

Generate YAML frontmatter-driven prompts for agentic coding LLMs.

Updated Feb 25, 2024
Search Tags:#automation#workflow#yaml-frontmatter#prompt-architecture#prompt-design#agentic-llms
One-click install
npx skills add https://github.com/GyroZepelix/.dotfiles --skill prompt-architect-gyrozepelix
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-architect
Source: https://github.com/GyroZepelix/.dotfiles/tree/main/02-agentic-llms/.claude/skills/prompt-architect
Command: npx skills add https://github.com/GyroZepelix/.dotfiles --skill prompt-architect-gyrozepelix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designers and engineers often face friction aligning prompts with strict frontmatter schemas and reproducible workflows. This Skill provides a repeatable method to generate structured, deterministic prompts and command templates tailored for agentic coding LLMs, reducing ambiguity and deployment risk.

Core Features & Use Cases

  • Generates YAML frontmatter-driven prompts for agentic LLMs (Claude Code, OpenCode, and compatible tools)
  • Supports Create, Improve, and Programmatic modes with clear workflow steps
  • Validates structure, variables, and optional cookbook sections to ensure safe, reusable prompts

Quick Start

Create a ready-to-use prompt skeleton for the agentic-llms workflow based on the provided frontmatter.

Frequently Asked Questions about prompt-architect

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

FAQPage Schema
How do I generate structured prompts with YAML frontmatter for agentic coding LLMs?▼

You can generate structured prompts with YAML frontmatter for agentic coding LLMs by using the Create mode to output a skeleton with enforced variable definitions, workflow steps, and optional cookbook sections.

What is the best way to improve existing prompt workflows for Claude Code?▼

To improve existing prompt workflows for Claude Code, apply the Improve mode to validate frontmatter schemas, refine deterministic outputs, and ensure strict formatting and safety constraints are met.

Can I programmatically compose prompt templates from specifications for OpenCode?▼

Yes, you can programmatically compose prompt templates from specifications for OpenCode using the Programmatic mode, which dynamically integrates structured outputs into subagents and workflows.

Do I need specific dependencies to enforce deterministic prompt design for LLMs?▼

No dependencies are required to enforce deterministic prompt design for LLMs; the Skill operates standalone to validate structure, variables, and formatting constraints natively.

Why does my prompt architecture fail to maintain deterministic outputs across agentic workflows?▼

Your prompt architecture fails to maintain deterministic outputs across agentic workflows because it lacks a strict frontmatter-driven schema, causing ambiguity and deployment risk without enforced variable definitions.

When should I not use frontmatter-driven schemas for agentic LLM prompt design?▼

You should not use frontmatter-driven schemas for agentic LLM prompt design when your task requires highly flexible, unconstrained outputs that cannot fit into structured workflow steps or defined variables.

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