prd

prd is a skill for Claude Code from kazdenc/builder-skills. It costs 65 tokens per session (950 once invoked), scanned A, original, MIT.

A guide for writing a product requirements document (PRD), which explains what to build, why it matters, who needs it, and how success will be measured.

In plain words
What is it for?
It helps define problems, goals, non-goals, user stories, success criteria, scope, and edge cases before development starts.
Why use it?
It helps turn incomplete ideas into clear requirements and reduces the risk of building the wrong thing or missing important cases.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/kazdenc/builder-skills/prd
Any agent
npx skills add kazdenc/builder-skills --skill prd
Clone the repo
git clone --depth 1 https://github.com/kazdenc/builder-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for prd

README.md
[![agentmods](https://agentmods.dev/badge/skills/kazdenc/builder-skills/prd.svg)](https://agentmods.dev/skills/kazdenc/builder-skills/prd)
Your own site
<a href="https://agentmods.dev/skills/kazdenc/builder-skills/prd"><img src="https://agentmods.dev/badge/skills/kazdenc/builder-skills/prd.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 950 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.00950
Opus 5 $0.00032 $0.00475
Sonnet 5 $0.00013 $0.00190
Haiku 4.5 $0.00006 $0.00095

Measured 6d ago against content hash 3d419884d0e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

prd scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/product/define/prd/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Requirements Document

Write a PRD that answers two questions clearly: what are we building and why does it matter. Everything else is supporting detail.

Step 1: Gather Context

Before writing anything, nail down these three inputs. If the user hasn't provided them, ask.

Input Question Watch out for
Problem What pain exists today? Who feels it? Jumping to solutions before the problem is sharp
Audience Who specifically benefits? What's their situation? "Everyone" is not an audience
Current state How do people solve this now? What's broken? Assuming nothing exists today

If a JTBD analysis, research, or prior conversations exist, pull from them. Don't invent context.

Step 2: Write the PRD

Use this structure. Every section earns its place — skip a section only if it genuinely doesn't apply.

# PRD: [Feature / Product Name]

## Problem Statement
What's broken, missing, or painful. Ground it in real user behavior.
Who has this problem. How often. How bad.

## Goals & Non-Goals

### Goals
- [ ] Measurable outcome this work achieves
- [ ] Another measurable outcome

### Non-Goals
- What this work deliberately does NOT try to solve (and why)

## User Stories / Job Stories
Use job story format when possible:
- When [situation], I want to [motivation], so I can [outcome]

Keep to 3-8 stories. If you have more, the scope is too big.

## Functional Requirements
What the system must do. Number them for traceability.

FR-1: [Requirement]
FR-2: [Requirement]

## Non-Functional Requirements
Performance, security, accessibility, scale, compatibility.

NFR-1: [Requirement]
NFR-2: [Requirement]

## Success Metrics
How we'll know this worked. Be specific:
- Metric + target + timeframe
- e.g., "Reduce average onboarding time from 12 min to under 5 min within 30 days of launch"

## Open Questions
What's unresolved. Who owns answering it. When it needs an answer by.

| # | Question | Owner | Deadline |
|---|----------|-------|----------|

## Out of Scope
What's explicitly excluded from this effort. Prevents scope creep later.

Read the full file on GitHub · 107 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 107 lines · 65 tokens per session scan A 3d419884d0e2

Subscribe to this mod's changes

prd is a skill published in the GitHub repository kazdenc/builder-skills (44 stars, last pushed 6mo ago), licensed MIT. It adds 65 tokens to every session and 950 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.