A tool that turns a short product idea into a detailed PRD, or product requirements document. A PRD describes what a product should do and how it should be built, using selected Python, Node.js, or Java backend options.

Use it to draft requirements for products involving features such as payments, mobile apps, AI, search, real-time updates, or file uploads.

It turns a vague idea into structured requirements and considers which technologies the product actually needs. This gives developers a clearer plan before implementation.

gen-prd — Command by alphaaiservice

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 commands/alphaaiservice/cortex/gen-prd

Clone the repo

git clone --depth 1 https://github.com/alphaaiservice/cortex

Per session 61 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 10,504 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.

Model	Per session	Once invoked
Fable 5	$0.00061	$0.10504
Opus 5	$0.00030	$0.05252
Sonnet 5	$0.00012	$0.02101
Haiku 4.5	$0.00006	$0.01050

Measured 2d ago against content hash 2c69e5109409, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gen-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 2d 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.

commands/gen-prd.md · 897 lines

How it starts

The opening of the file, as written. The whole thing — 897 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PRD Generator — Alpha AI Standards

Generate a comprehensive PRD for: $ARGUMENTS

The PRD MUST specify Alpha AI's CORE stack (backend framework + JWT cookies + MySQL). Backend language can be Python/FastAPI (default), Node.js/NestJS, or Java/Spring Boot. CONDITIONAL technologies (MongoDB, Redis, Razorpay, Meilisearch, Mobile, GenAI, etc.) should be included ONLY if the product idea requires them. Analyze the product idea first.

Step -1: Analyze Product Requirements (BEFORE Research)

Before doing anything, analyze the product idea ($ARGUMENTS) to determine which technologies are needed:

Read the product idea and determine:
- Does this need payments/billing? → Include Razorpay section
- Does this need a mobile app? → Include React Native section
- Does this need AI/GenAI features? → Include LiteLLM/RAG section
- Does this need full-text search? → Include Meilisearch
- Does this need real-time updates? → Include WebSocket
- Does this need file uploads? → Include S3/presigned URL
- Is this India-focused SaaS? → Include INR pricing, GST
- Does this need social login? → Include Google OAuth
- Does this need multi-language? → Include i18n
- Does this need offline? → Include PWA
- What backend language? → If --lang flag provided, use it. Otherwise default to Python/FastAPI.
  Supported: python (FastAPI), nestjs (NestJS 11+), springboot (Spring Boot 3.4+)

Build a FEATURE_PROFILE (YES/NO for each) and use it to determine:
- Which tech stack sections to include in the PRD
- Which data models to include
- Which API endpoints to include
- Which acceptance criteria to include
- Which backend language to use in the PRD tech stack

Step 0: Market Research (MANDATORY — Do This FIRST)

Before writing the PRD, conduct thorough market research using WebSearch and WebFetch to build a world-class product:

Research Queries (execute ALL of these):

1. COMPETITORS
   WebSearch: "[product idea] best tools 2025 2026"
   WebSearch: "[product idea] alternatives comparison"
   WebSearch: "[product idea] top competitors review"
   → Identify top 5-10 competitors
   → WebFetch their landing pages (features, positioning)
   → WebFetch their pricing pages (pricing models, tiers)

2. MARKET & TRENDS
   WebSearch: "[product idea] market size growth 2025 2026"
   WebSearch: "[product idea] industry trends"
   → TAM/SAM, growth rate, regional focus

3. USER PAIN POINTS
   WebSearch: "[product idea] user complaints problems"
   WebSearch: "[product idea] feature requests users want"
   WebSearch: "[product idea] reddit reviews"
   → What users love/hate about existing tools
   → Unmet needs = our opportunity

4. UX & FEATURE BEST PRACTICES
   WebSearch: "[product idea] best UX practices"
   WebSearch: "[product idea] must-have features"
   → Table-stakes features (must have on Day 1)
   → Differentiator features (our competitive edge)

5. PRICING RESEARCH (IF product has paid features)
   WebSearch: "[product idea] SaaS pricing"
   WebSearch: "[product idea] pricing strategy"
   → If India-focused: research India-specific pricing, INR, UPI, GST
   → If global: research USD pricing, multiple payment gateways
   → Inform subscription/pricing model based on product type

6. TECHNICAL LANDSCAPE
   WebSearch: "[product idea] API integrations"
   WebSearch: "[product idea] [python|node.js|java] libraries"
   → Domain-specific libraries/APIs to integrate
   → Security/compliance requirements for this domain
   → Third-party integrations users expect

Read the full file on GitHub · 897 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.

2d ago First seen · 897 lines · 61 tokens per session scan A 2c69e5109409

Subscribe to this mod's changes

gen-prd is a command published in the GitHub repository alphaaiservice/cortex (1 stars, last pushed 26d ago), licensed MIT. It adds 61 tokens to every session and 10,504 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 2026-08-31.

Planning automation claude-code-plugin sdlc

gen-prd

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

PRD Generator — Alpha AI Standards

Step -1: Analyze Product Requirements (BEFORE Research)

Step 0: Market Research (MANDATORY — Do This FIRST)

Research Queries (execute ALL of these):

What this file has done since we first saw it

Other commands, from other repositories

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