forge

Generate XML-tagged prompts for coding agents via structured interviews.

15|4|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/yz5e/agent-skills --skill forge-yz5e
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: forge
Source: https://github.com/yz5e/agent-skills/tree/main/skills/forge
Command: npx skills add https://github.com/yz5e/agent-skills --skill forge-yz5e

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides an automated, interview-driven approach to crafting precise, XML-tagged prompts and SPEC handoffs, reducing ambiguity and back-and-forth in complex prompt design.

Core Features & Use Cases

  • Structured, adaptive interviews surface requirements for long-horizon coding and agent tasks.
  • Generates a ready-to-run XML prompt blueprint and optional SPEC.md handoff.
  • Supports Claude Opus 4.7, GPT-5.5 / Codex CLI, and other harnesses via standardized prompts.

Quick Start

Seed the task with a topic and run /forge to begin the interview-driven prompt drafting.

Frequently Asked Questions about forge

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

FAQPage Schema
How do I create an XML prompt for Claude Opus or Codex CLI?

To create an XML prompt for Claude Opus or Codex CLI, use an interview-driven prompt forge that guides you through structured questions and outputs a tagged prompt with role, mission, context, requirements, workflow, tooling, validation, and done sections.

What is an interview-driven prompt and when do I need one?

An interview-driven prompt is a structured blueprint generated through adaptive questioning to reduce ambiguity in complex prompt design. You need it for long-horizon, tool-heavy coding tasks or agent system prompts where unstructured requests cause back-and-forth.

How do I write a system prompt for coding agents with XML tags?

To write a system prompt for coding agents with XML tags, run an interview-driven prompt forge that produces a complete XML-style prompt with defined sections, plus an optional SPEC.md handoff for requirements gathering before implementation.

Can I use this prompt engineering workflow for GPT-5.5 and Codex CLI?

Yes, this prompt engineering workflow supports GPT-5.5 and Codex CLI by generating standardized XML-tagged prompts that work across multiple harnesses, ensuring your coding agent receives a consistent, ready-to-run prompt blueprint.

What's the best way to gather requirements before a long coding task?

The best way to gather requirements before a long coding task is using an automated, structured interview that surfaces requirements and outputs an XML prompt with an optional SPEC block, reducing ambiguity and back-and-forth in complex prompt design.

Why does my coding agent prompt lack structure for tool-heavy workflows?

Your coding agent prompt lacks structure for tool-heavy workflows because it is missing standardized XML-tagged sections for tooling, validation, and done criteria, which an interview-driven prompt forge generates by guiding you through adaptive questions.