---
title: "prd by github · skilld"
canonical_url: "https://skilld.dev/gh/github/awesome-copilot/prd"
last_updated: "2026-07-27T23:56:07.614Z"
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[![github avatar](https://github.com/github.png?size=96)github/awesome-copilot repository](https://skilld.dev/gh/github/awesome-copilot)

# **/prd**

official

[github](https://skilld.dev/gh/github)/ [awesome-copilot](https://skilld.dev/gh/github/awesome-copilot) 37,102 4,655

Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.

Updated 18 hours ago  Trust

[Documentation](https://skilld.dev/skills/tag/documentation "Docs, changelogs, release notes, READMEs") [ prd](https://skilld.dev/skills/tag/prd) [ product-management](https://skilld.dev/skills/tag/product-management) [ requirements](https://skilld.dev/skills/tag/requirements) [ product-planning](https://skilld.dev/skills/tag/product-planning) [ ai-features](https://skilld.dev/skills/tag/ai-features) [ user-stories](https://skilld.dev/skills/tag/user-stories) [ technical-specification](https://skilld.dev/skills/tag/technical-specification)

## Skill content

## Product Requirements Document (PRD)

### Overview

Design comprehensive, production-grade Product Requirements Documents (PRDs) that bridge the gap between business vision and technical execution. This skill works for modern software systems, ensuring that requirements are clearly defined.

### When to Use

Use this skill when:

- Starting a new product or feature development cycle
- Translating a vague idea into a concrete technical specification
- Defining requirements for AI-powered features
- Stakeholders need a unified "source of truth" for project scope
- User asks to "write a PRD", "document requirements", or "plan a feature"

---

### Operational Workflow

#### Phase 1: Discovery (The Interview)

Before writing a single line of the PRD, you **MUST** interrogate the user to fill knowledge gaps. Do not assume context.

**Ask about:**

- **The Core Problem**: Why are we building this now?
- **Success Metrics**: How do we know it worked?
- **Constraints**: Budget, tech stack, or deadline?

#### Phase 2: Analysis & Scoping

Synthesize the user's input. Identify dependencies and hidden complexities.

- Map out the **User Flow**.
- Define **Non-Goals** to protect the timeline.

#### Phase 3: Technical Drafting

Generate the document using the **Strict PRD Schema** below.

---

### PRD Quality Standards

#### Requirements Quality

Use concrete, measurable criteria. Avoid "fast", "easy", or "intuitive".

```
# Vague (BAD)
- The search should be fast and return relevant results.
- The UI must look modern and be easy to use.

# Concrete (GOOD)
+ The search must return results within 200ms for a 10k record dataset.
+ The search algorithm must achieve >= 85% Precision@10 in benchmark evals.
+ The UI must follow the 'Vercel/Next.js' design system and achieve 100% Lighthouse Accessibility score.
```

---

### Strict PRD Schema

You **MUST** follow this exact structure for the output:

#### 1. Executive Summary

- **Problem Statement**: 1-2 sentences on the pain point.
- **Proposed Solution**: 1-2 sentences on the fix.
- **Success Criteria**: 3-5 measurable KPIs.

#### 2. User Experience & Functionality

- **User Personas**: Who is this for?
- **User Stories**: `As a [user], I want to [action] so that [benefit].`
- **Acceptance Criteria**: Bulleted list of "Done" definitions for each story.
- **Non-Goals**: What are we NOT building?

#### 3. AI System Requirements (If Applicable)

- **Tool Requirements**: What tools and APIs are needed?
- **Evaluation Strategy**: How to measure output quality and accuracy.

#### 4. Technical Specifications

- **Architecture Overview**: Data flow and component interaction.
- **Integration Points**: APIs, DBs, and Auth.
- **Security & Privacy**: Data handling and compliance.

#### 5. Risks & Roadmap

- **Phased Rollout**: MVP -> v1.1 -> v2.0.
- **Technical Risks**: Latency, cost, or dependency failures.

---

### Implementation Guidelines

#### DO (Always)

- **Define Testing**: For AI systems, specify how to test and validate output quality.
- **Iterate**: Present a draft and ask for feedback on specific sections.

#### DON'T (Avoid)

- **Skip Discovery**: Never write a PRD without asking at least 2 clarifying questions first.
- **Hallucinate Constraints**: If the user didn't specify a tech stack, ask or label it as `TBD`.

---

### Example: Intelligent Search System

#### 1. Executive Summary

**Problem**: Users struggle to find specific documentation snippets in massive repositories. **Solution**: An intelligent search system that provides direct answers with source citations. **Success**:

- Reduce search time by 50%.
- Citation accuracy >= 95%.

#### 2. User Stories

- **Story**: As a developer, I want to ask natural language questions so I don't have to guess keywords.
- **AC**:
  - Supports multi-turn clarification.
  - Returns code blocks with "Copy" button.

#### 3. AI System Architecture

- **Tools Required**: `codesearch`, `grep`, `webfetch`.

#### 4. Evaluation

- **Benchmark**: Test with 50 common developer questions.
- **Pass Rate**: 90% must match expected citations.

Source: [SKILL.md on GitHub](https://github.com/github/awesome-copilot/blob/03986ae177602317067149832a73afec7bacb3dc/skills/prd/SKILL.md)

## What it does

Generates structured Product Requirements Documents that map business vision to technical execution, including executive summaries, user stories, acceptance criteria, and risk analysis. Includes a discovery phase to interrogate requirements and a strict schema enforcing measurable success criteria over vague language.

Based on the current SKILL.md.

## Frequently asked

<details>

<summary>Does this skill work for non-software products?</summary>



The skill is designed for software systems and AI-powered features. It may not fit well for hardware, physical products, or domains outside software development.

</details>

<details>

<summary>Do I need to provide all the context upfront, or will the skill ask clarifying questions?</summary>



The skill explicitly requires a discovery phase where it interrogates you about the core problem, success metrics, and constraints before drafting. You should expect follow-up questions.

</details>

<details>

<summary>Can this skill generate PRDs for existing products or only new ones?</summary>



The skill is designed for starting new product or feature development cycles and translating ideas into specifications. It does not describe support for auditing or revising existing PRDs.

</details>

<details>

<summary>What if I haven't decided on a tech stack yet?</summary>



The skill instructs you to ask or label undefined constraints as `TBD` rather than assume or hallucinate technical details.

</details>

Based on the current SKILL.md. These answers refresh after source changes.

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