prompt-factory

Transform vague user requests into structured Codex/VS Code prompts.

2|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/alanharrryy-wq/hitech-os --skill prompt-factory-alanharrryy-wq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-factory
Source: https://github.com/alanharrryy-wq/hitech-os/tree/main/.agents/skills/prompt-factory
Command: npx skills add https://github.com/alanharrryy-wq/hitech-os --skill prompt-factory-alanharrryy-wq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill converts vague user requests into precise, ready-to-run Codex/VS Code prompts with a deterministic structure and clear delivery expectations.

Core Features & Use Cases

  • Automatic prompt-type selection: chooses between unicodex and multicodex prompt formats based on user intent.
  • Structured, deterministic outputs: enforces a canonical 2-part delivery (GOAL, CONTEXT, CONSTRAINTS, etc.) with explicit sections and acceptance criteria.
  • Flexible packaging: supports single prompts and prompt packs for scale, reuse, and governance across projects and teams.
  • Use Case: when a user asks for a reusable coding prompt, this Skill generates a ready-to-copy prompt template that can be deployed in IDEs or external tooling.

Quick Start

Provide a vague prompt or say dame prompt and the Skill will generate a ready-to-copy, two-part prompt package.

Frequently Asked Questions about prompt-factory

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

FAQPage Schema
How do I create structured Codex prompts for VS Code from vague requests?

To create structured Codex prompts from vague requests, you provide a basic idea or say 'dame prompt', and the system transforms it into a deterministic, ready-to-run prompt with mandatory fields like GOAL, CONTEXT, and CONSTRAINTS.

What is the best way to generate reusable AI prompt packs for developer workflows?

The best way to generate reusable AI prompt packs for developer workflows is using a prompt factory approach that scales single prompts into multicodex packs, enforcing governance, acceptance criteria, and explicit validation across projects.

Does this prompt engineering tool support outputs in both Spanish and English?

Yes, this prompt engineering tool supports outputs in both Spanish and English, enforcing a canonical two-part delivery structure that provides ready-to-copy prompt templates for IDE deployment in either language.

Can I use this to build governance-style prompts with explicit validation and stop conditions?

Yes, you can build governance-style prompts with explicit validation and stop conditions because the system enforces a fixed structure defined in the frontmatter, ensuring deterministic outputs and clear delivery expectations.

How does automatic prompt-type selection work for unicodex and multicodex formats?

Automatic prompt-type selection works by analyzing user intent to choose between unicodex and multicodex prompt formats, ensuring flexible packaging whether you need a single prompt or a scaled prompt pack.

What are the limitations of using deterministic prompt structures for AI coding assistants?

A limitation of deterministic prompt structures is that they enforce rigid mandatory fields and fixed two-part outputs, which may restrict creative flexibility when highly unstructured or exploratory AI interactions are required.