Agent skill

Prd Generator

by ognjengt in ognjengt/founder-skills

Generates professional PRD (Product Requirements Document) files optimized for AI coding tools.

MITAuto-check passedProduct & Project Management

Install Prd Generator

skills CLI
$ npx skills add ognjengt/founder-skills --skill prd-generator -a claude-code

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

GitHub CLI
$ gh skill install ognjengt/founder-skills prd-generator --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/ognjengt/founder-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prd-generator .claude/skills/prd-generator && 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-generator
GitHub stars
427
Token cost
~2.3k tokens
SKILL.md length
941 words
Files
2 (incl. references)
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Generates professional PRD (Product Requirements Document) files optimized for AI coding tools.

  • Works in 7 steps: MANDATORY: Read Reference Files FIRST → Skip Business Context → Analyze Initial Input → …
  • Tasks that involve PRD writing
  • SKILL.md covers Purpose, Execution Logic, Task Execution and Writing Rules, plus 4 more sections
  • Calls npx

What it does

Prd Generator is an agent skill from ognjengt/founder-skills. Generates professional PRD (Product Requirements Document) files optimized for AI coding tools. Takes a rough product idea, asks clarifying questions, and outputs a structured PDF ready to feed into AI coding assistants.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/prd_template.md`).

It sits in Product & Project Management, covering PRD writing. The repository describes itself as: Claude skills for founders. The licence is MIT.

When your agent uses it

  • Tasks that involve PRD writing

Example prompts

  • “Use the prd-generator skill to generate professional PRD (Product Requirements Document) files optimized for AI coding tools”
  • “/prd-generator”

Requirements

  • Node.js

Workflow steps

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

  1. MANDATORY: Read Reference Files FIRST
  2. Skip Business Context
  3. Analyze Initial Input
  4. Ask Clarifying Questions
  5. Generate the PRD
  6. Save and Convert to PDF
  7. Confirm Output

What it can do on your machine

Read from SKILL.md and the folder at commit a45931c. 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

    Shell commands in SKILL.md call:

    • npx

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

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    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 Generator loads about 2.3k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 941 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.3k

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 ognjengt/founder-skills at commit a45931c, republished under its MIT licence (© ognjengt). 941 words, ~2,330 tokens.

Download SKILL.mdSave it as .claude/skills/prd-generator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
prd-generator
description
Generates professional PRD (Product Requirements Document) files optimized for AI coding tools. Takes a rough product idea, asks clarifying questions, and outputs a structured PDF ready to feed into AI coding assistants.

PRD Generator

Purpose

Transform a rough product idea into a comprehensive, AI-ready Product Requirements Document (PDF) through targeted questions and structured output.


Execution Logic

Check $ARGUMENTS first to determine execution mode:

If $ARGUMENTS is empty or not provided:

Respond with: "prd-generator loaded, describe your product idea"

Then wait for the user to provide their product concept in the next message.

If $ARGUMENTS contains content:

Proceed immediately to Task Execution (skip the "loaded" message).


Task Execution

1. MANDATORY: Read Reference Files FIRST

BLOCKING REQUIREMENT — DO NOT SKIP THIS STEP

Before doing ANYTHING else, use the Read tool to read:

  • ./references/prd_template.md

This template defines the exact structure your PRD must follow. DO NOT PROCEED to Step 2 until you have read this file.

2. Skip Business Context

This skill intentionally DOES NOT read FOUNDER_CONTEXT.md. PRDs are standalone documents that should contain all necessary context within them.

3. Analyze Initial Input

From the user's initial description, extract what's available:

  • Product name or working title
  • Core problem being solved
  • Target users/audience
  • Key features mentioned
  • Technical preferences (if any)
  • Constraints or requirements (if any)
4. Ask Clarifying Questions

Use AskUserQuestion tool to gather missing information. Ask up to 7 questions maximum, but fewer is better — stop as soon as you have enough to build a comprehensive PRD.

Question Bank (priority order):

#QuestionWhy it mattersSkip if...
1Who is the primary user? What's their role and technical level?Shapes all UX decisions and feature complexityUser persona is clearly described
2What's the core problem this solves? What happens if users don't have this?Defines the value proposition and success metricsProblem statement is explicit
3What are the 3-5 must-have features for launch (P0)?Prevents scope creep, focuses MVPFeatures are already listed with clear priority
4What technology preferences or constraints exist? (Language, framework, hosting)Determines technical architecture sectionTech stack is specified
5Are there any integrations required? (Auth providers, APIs, third-party services)Identifies dependencies and integration complexityNo external services mentioned or user says standalone
6What does success look like? Any specific metrics to track?Defines goals and success metrics sectionMetrics or goals are already stated
7Any design preferences or existing brand guidelines to follow?Shapes UI/UX requirements sectionDesign is flexible or already described

Question strategy:

  • Ask 2-4 questions per batch using AskUserQuestion
  • If the first batch answers provide enough detail, stop asking
  • Never ask more than 7 questions total
  • Group related questions when possible
5. Generate the PRD

Using the template structure from ./references/prd_template.md, create a complete PRD:

  1. Fill every applicable section from the template
  2. Be specific — vague requirements produce vague code
  3. Write acceptance criteria for every feature — make them testable
  4. Prioritize ruthlessly — P0 should be 30-40% of features
  5. The "Implementation Notes for AI" section is mandatory — this is what makes it AI-ready
6. Save and Convert to PDF

Step 6a: Create output folder

bash
mkdir -p ./prd_outputs/[Project Name]/

Use the product name with spaces, e.g., ./prd_outputs/Churn Prevention Tool/

Step 6b: Save markdown file Write the PRD content to:

./prd_outputs/[Project Name]/[project_name]_PRD.md

Use snake_case for the filename, e.g., churn_prevention_tool_PRD.md

Step 6c: Convert to PDF Run:

bash
npx md-to-pdf "./prd_outputs/[Project Name]/[project_name]_PRD.md"

This creates [project_name]_PRD.pdf in the same folder.

7. Confirm Output

Tell the user:

  • Where the PDF is saved (full path)
  • Where the markdown source is saved
  • Brief summary of what's in the PRD

Writing Rules

Show full SKILL.md (389 more words)Show less
Core Rules
  • Every feature MUST have testable acceptance criteria
  • Use specific numbers, not vague terms ("loads in <2s" not "loads quickly")
  • P0 features should be 30-40% of total features — if everything is P0, nothing is
  • Data models must include field types and relationships
  • API specs must include request/response examples
PRD-Specific Rules
  • Executive summary: 3-5 sentences maximum
  • Problem statement: Must include current state, pain points, and business impact
  • User personas: Maximum 3 primary personas — more creates confusion
  • Tech architecture: Describe data flow in plain English — AI tools interpret this better than complex diagrams
  • Implementation Notes for AI section: This is mandatory, never skip it
Format Rules
  • Use markdown headers consistently (# for title, ## for sections, ### for subsections)
  • Use tables for structured data (metrics, data models, API specs)
  • Use code blocks for JSON examples and technical specs
  • Use checkboxes for acceptance criteria

Output Format

The PRD follows the structure in ./references/prd_template.md. Here's a condensed example:

markdown
# TaskFlow — Product Requirements Document

**Version:** 1.0
**Date:** 2024-01-15
**Author:** PRD Generator
**Status:** Draft

## Executive Summary
TaskFlow is a task management tool for remote engineering teams...

## Problem Statement
**Current state:** Teams use disconnected tools...
**Pain points:**
1. Context switching between tools
2. No visibility into team workload
3. Async communication gaps

**Impact:** 5+ hours/week lost per engineer...

## Goals & Success Metrics
| Goal | Metric | Target | Measurement |
|------|--------|--------|-------------|
| Reduce context switching | Tool switches/day | < 10 | Analytics |

## User Personas
### Engineering Manager
- **Role:** Manages 5-10 engineers
- **Goals:** Visibility into sprint progress...

## Functional Requirements

### FR-001: Task Creation
**Description:** Users can create tasks with title, description, assignee, and due date.

**User story:** As an engineer, I want to create tasks quickly so that I capture work items without friction.

**Acceptance criteria:**
- [ ] Task creation completes in < 500ms
- [ ] Title field is required, minimum 3 characters
- [ ] Due date defaults to end of current sprint

**Priority:** P0

...

## Implementation Notes for AI

### Build Order
1. Database schema (PostgreSQL)
2. API endpoints (Express.js)
3. Frontend components (React)
4. Auth integration (Clerk)

### Libraries to Use
- Prisma for ORM — type-safe, great DX
- TanStack Query for data fetching — handles caching
- Tailwind CSS for styling — utility-first, fast iteration

### Critical Implementation Details
- All dates stored as UTC, converted to user timezone on display
- Use optimistic updates for task status changes
- Implement soft deletes for all user-generated content

References

This file MUST be read using the Read tool before task execution (see Step 1):

FilePurpose
./references/prd_template.mdComplete PRD structure with all 15 sections, format examples, and usage notes

Why this matters: The template ensures every PRD follows a consistent, comprehensive structure that AI coding tools can parse and implement. Skipping the template results in incomplete PRDs that miss critical sections.


Quality Checklist (Self-Verification)

Pre-Execution Check
  • I read ./references/prd_template.md before starting
  • I have the template structure in context
Question Check
  • I asked 7 or fewer questions total
  • I only asked questions where information was genuinely missing
  • Questions were batched (2-4 per AskUserQuestion call)
PRD Content Check
  • Executive summary is 3-5 sentences
  • Every feature has acceptance criteria (checkboxes)
  • P0 features are ~30-40% of total (not everything)
  • Data models include field types
  • API specs include request/response examples
  • "Implementation Notes for AI" section is complete
Output Check
  • Markdown file saved to ./prd_outputs/[Project Name]/
  • PDF generated via npx md-to-pdf
  • User informed of file locations

If ANY check fails → fix before completing.


Defaults & Assumptions

Use these unless the user specifies otherwise:

  • Document version: 1.0
  • Status: Draft
  • Author: PRD Generator
  • Tech stack: Modern web (React + Node.js + PostgreSQL) unless specified
  • Hosting: Cloud-native (Vercel/Railway/AWS) unless specified
  • Auth: Third-party (Clerk/Auth0) unless building custom
  • Priority split: ~35% P0, ~40% P1, ~25% P2
  • User personas: Maximum 3 unless complexity demands more
  • API style: REST unless GraphQL is specified

Document any assumptions made in the PRD output.

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

Files

SKILL.md and 1 other file (references) in skills/prd-generator of ognjengt/founder-skills.

  • SKILL.md
  • references/prd_template.md

Open the folder on GitHubat commit a45931c

Compare with similar skills

Prd Generator 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 Generator compared with similar skills
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Trellis Brainstormanjiemo/SunnyBeach1787 repos~4kAutomated safety check: PassApache-2.0
Adversarial Speczscole/adversarial-spec5561 repos~8.3kAutomated safety check: NotesMIT
Ralph Tui Create Beads Rustsubsy/ralph-tui2.5k1 repos~2.8kAutomated safety check: PassMIT

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Questions about Prd Generator

What does Prd Generator do?

Generates professional PRD (Product Requirements Document) files optimized for AI coding tools. Prd Generator is an agent skill from ognjengt/founder-skills. Generates professional PRD (Product Requirements Document) files optimized for AI coding tools.

When should I use Prd Generator?

Prd Generator fits situations like: tasks that involve PRD writing.

How do I install Prd Generator in Claude Code?

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

How do I install Prd Generator in Codex?

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

Can I use Prd Generator 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 ognjengt/founder-skills --skill prd-generator -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-generator, .gemini/skills/prd-generator, .github/skills/prd-generator and .opencode/skills/prd-generator in your project.

What does Prd Generator need to run?

Going by SKILL.md and its folder, Prd Generator needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Prd Generator access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Prd Generator 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 Generator use?

Prd Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prd Generator use?

About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to Prd Generator?

Skills that share tags, products or a category with Prd Generator: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Adversarial Spec (zscole/adversarial-spec, 556 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prd Generator?

ognjengt (a GitHub user) maintains it in ognjengt/founder-skills, which has 427 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on May 18, 2026.

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