A specialized PRD Skill to transform raw ideas into implementation-ready Product Requirement Documents.
- Discovery: The AI guides you through 8 key questions to understand your product vision (Intake Check):
- 1. Product Idea: 1-2 sentence core concept.
- 2. Target User: Who is this for?
- 3. Core Problem: What pain point are we solving?
- 4. Key Feature(s): What are the must-have functionalities?
- 5. User Flow: Detailed step-by-step journey.
- 6. Success Goals: Measurable outcomes for success.
- 7. Constraints: Technical, time, or budget limits.
- 8. Delivery Target: Who is the primary recipient of this document? (You can also request the "Full Package" to generate all 4 targets at once).
- Structuring: It automatically generates a 12-section PRD (User Stories, Functional Reqs, KPIs, Interactive Flows, etc.).
- Rendering: Choose from 4 professional delivery targets or request all 4 in separate code blocks:
- Target 1: Standard PRD for Product Lead (Markdown) - Detailed internal documentation.
- Target 2: Technical Blueprint for Engineers (Markdown) - Technical, logic-heavy specification.
- Target 3: UX Interaction Spec for Designers (Markdown) - Interaction-first specification for designers.
- Target 4: Interactive Pitch Deck for Investors (HTML) - High-impact, 12-slide presentation with advanced UI components.
Once this project is hosted on GitHub, different AI interfaces can consume the SkillPRD in the following ways:
The simplest way to "install" the skill is to copy the entire content of SKILL.md and paste it into a new chat session.
Tip
Start the message with "You are now following these Skill instructions:" followed by the file content.
If you want the AI to always know how to generate these PRDs:
- Go to the AI's settings (e.g., "Custom Instructions" in ChatGPT or "System Prompt" in Gemini).
- Paste the content of
SKILL.mdthere.
If you are using developer-focused AI tools:
- Simply keep
SKILL.mdin your project root. - Mention
@SKILL.mdor tell the tool to "Follow the logic inSKILL.mdto generate a product requirement document."
Since the project is on GitHub, you can provide the Raw URL of SKILL.md to any tool that supports web fetching or browsing.
If you are using Google Antigravity, this directory is already a fully compliant, native Skill package.
- The Antigravity Agent will automatically detect the
SKILL.mdfile (thanks to its YAML frontmatter). - Simply ask the agent to act as the "PRD Architect" or reference this folder, and it will run the skill's logic systemically.
SKILL.md: The core AI instruction set (Grandmaster Brain).input.yaml: Blank template with example comments for providing product data.output.html: The 'Golden Template' used as the blueprint for Pitch Deck generation.examples/:- Standard PRD for Product Lead
- Technical Blueprint for Engineers
- Interactive Pitch Deck for Investors
- UX Interaction Spec for Designers
- Fill in your product details in
input.yaml. - Copy the content of
SKILL.mdinto your AI chat (Gemini, Claude, etc.). - Paste your
input.yamlcontent or let the AI guide you through the Intake Check. - The AI will generate the professional PRD in your chosen style, leveraging the centralized logic and templates.
To streamline the transition from documentation to issue tracking, we've provided a specialized automation skill in the /automation directory. This module acts as a bridge to connect your PRD content directly to Jira workflows.
This project defines a complete automation pipeline from "Ideation" to "Engineering Management":
graph TD
%% Node Definitions
Idea["Raw Idea"]
Generator["SkillPRD Brain"]
StandardPRD["Standard PRD"]
JiraSkill["Automation Protocol"]
JSON["Jira JSON Payload"]
Jira["Jira Task Board"]
%% Flow
Idea -->|Input| Generator
Generator -->|Natural Language| StandardPRD
StandardPRD -->|Transform| JiraSkill
JiraSkill -->|Structured Data| JSON
JSON -->|Bulk Import| Jira
%% Styling
style Generator fill:#3b82f6,stroke:#fff,stroke-width:2px,color:#fff
style JiraSkill fill:#10b981,stroke:#fff,stroke-width:2px,color:#fff
style StandardPRD fill:#f59e0b,stroke:#fff,stroke-width:2px,color:#fff
style JSON fill:#8b5cf6,stroke:#fff,stroke-width:2px,color:#fff
style Jira fill:#475569,stroke:#fff,stroke-width:2px,color:#fff
style Idea fill:#64748b,stroke:#fff,stroke-width:2px,color:#fff