Official agent skill

Prd

by github in github/awesome-copilot

Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features.

OfficialMITAuto-check passedProduct & Project Management

Install Prd

skills CLI
$ npx skills add github/awesome-copilot --skill prd -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot prd --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prd .claude/skills/prd && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
prd
GitHub stars
40k
Used in
6 other repos
Token cost
~1.1k tokens
SKILL.md length
478 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features.

  • Works in 12 steps: Discovery (The Interview) → Analysis & Scoping → Technical Drafting → …
  • Tasks that involve PRD writing
  • SKILL.md covers Overview, When to Use, Operational Workflow and PRD Quality Standards, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prd is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Product & Project Management, covering PRD writing, User stories and Summarization. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Tasks that involve PRD writing
  • Tasks that involve User stories
  • Tasks that involve Summarization

Example prompts

  • “/prd”

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Discovery (The Interview)
  2. Analysis & Scoping
  3. Technical Drafting
  4. Executive Summary
  5. User Experience & Functionality
  6. AI System Requirements (If Applicable)
  7. Technical Specifications
  8. Risks & Roadmap
  9. Executive Summary
  10. User Stories
  11. AI System Architecture
  12. Evaluation

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are diff).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Prd loads about 1.1k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 478 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 478 words, ~1,077 tokens.

Download SKILL.mdSave it as .claude/skills/prd/SKILL.md (or your agent's skills folder).
name
prd
description
Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.
license
MIT

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".

diff
# 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.
Show full SKILL.md (192 more words)Show less
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.

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/prd of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 6 other repositories

We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 6 other GitHub owners. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Prd next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Prd compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prd this skillgithub/awesome-copilot40k6 repos~1.1kAutomated safety check: PassMIT
Ralph Tui Create Beadssubsy/ralph-tui2.5k1 repos~2.6kAutomated safety check: PassMIT
Ralph Tui Create Beads Rustsubsy/ralph-tui2.5k1 repos~2.8kAutomated safety check: PassMIT
Ralph Tui Create JSONsubsy/ralph-tui2.5k1 repos~2.6kAutomated safety check: PassMIT
To Prdywwynm/EverythingDone14411 repos~777Automated safety check: PassGPL-3.0
Ralphjulianromli/opencode-template1441 repos~1.1kAutomated safety check: PassNone

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Questions about Prd

What does Prd do?

Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Prd is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features.

When should I use Prd?

Prd fits situations like: tasks that involve PRD writing; tasks that involve User stories; tasks that involve Summarization.

How do I install Prd in Claude Code?

Run `npx skills add github/awesome-copilot --skill prd -a claude-code`. Or copy the skill folder (skills/prd in github/awesome-copilot) into .claude/skills/prd in your project. Claude Code loads it when a task matches its description.

How do I install Prd in Codex?

Run `npx skills add github/awesome-copilot --skill prd -a codex`. Or copy the skill folder (skills/prd in github/awesome-copilot) into .agents/skills/prd in your project. Codex loads it when a task matches its description.

Can I use Prd in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill prd -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prd, .gemini/skills/prd, .github/skills/prd and .opencode/skills/prd in your project.

What does Prd need to run?

SKILL.md names no scripts, command-line tools or credentials: Prd is instructions for the agent only.

Does Prd access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Prd safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Prd use?

Prd is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prd use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Prd?

Skills that share tags, products or a category with Prd: Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Ralph Tui Create Beads Rust (subsy/ralph-tui, 2.5k stars), Ralph Tui Create JSON (subsy/ralph-tui, 2.5k stars) and To Prd (ywwynm/EverythingDone, 144 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prd?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.