project-briefing-interview

Guide AI agents through structured project briefings and generate master prompts.

2|Updated Jun 29, 2026

Search Tags:#AI prompting #project scoping #product discovery #briefing #LLM skills #master prompt

Ready to run

npx skills add https://github.com/dasgltd/llm-skills --skill project-briefing-interview

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: project-briefing-interview
Source: https://github.com/dasgltd/llm-skills/tree/main/skills/project-briefing-interview
Command: npx skills add https://github.com/dasgltd/llm-skills --skill project-briefing-interview

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures that AI Agents conduct thorough, targeted project briefings before writing any code, minimizing errors and reducing unnecessary discovery efforts.

Core Features & Use Cases

Tiered Discovery: Customizes interviews from zero questions to a full 10-stage product discovery, based on the project's risk and complexity.
Effort & Model Gate: Estimates project difficulty and recommends AI model tiers to balance effort and accuracy.
Master Prompt Output: Delivers a structured prompt for coding LLMs, including project context, objectives, and implementation guidelines.
Use Case: When developing a new SaaS project, use this Skill to gather comprehensive requirements and create a master prompt for efficient development.

Quick Start

Use the project-briefing-interview skill to initiate a product briefing with, "I want to build a tool that reconciles bank statements."

Frequently Asked Questions about project-briefing-interview

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

FAQPage Schema

How do I structure a project briefing for an AI to generate accurate code?▼

A project briefing for AI uses structured interviews and tiered discovery to gather requirements, producing a master prompt that provides coding LLMs with full context, objectives, and implementation guidelines.

What is the best way to scope a new SaaS product with an LLM without excessive questioning?▼

Scoping a new SaaS product with an LLM uses tiered discovery to calibrate interview depth from zero questions to a 10-stage product discovery based on risk, preventing excessive questioning while ensuring accuracy.

How does tiered discovery work for product discovery interviews?▼

Tiered discovery customizes product discovery interview depth based on project risk and complexity, scaling from a trivial fix requiring zero questions to a new SaaS product needing a full 10-stage discovery process.

Can I estimate project difficulty and recommend an AI model tier before coding?▼

Yes, you can estimate project difficulty and recommend AI model tiers using an effort and model gate, which balances required effort and accuracy before generating the final coding prompt.

What is a master prompt for coding LLMs and how do I generate one?▼

A master prompt for coding LLMs is a structured output containing project context, objectives, and implementation guidelines. You generate one by completing a structured project briefing interview that synthesizes your requirements.

When should I not use a full 10-stage product discovery for my project?▼

You should not use a full 10-stage product discovery for trivial fixes or low-risk projects, as tiered discovery scales down the interview process to avoid unnecessary data extraction and minimize discovery efforts.