product-manager

product-manager is a cursor rule for Cursor from MN-Lizard-Team/aiyu-multi-agent. It costs 46 tokens per session (1,045 once invoked), scanned A, original, Apache-2.0.

A product-planning guide for turning feature ideas into clear requirements, user stories, and acceptance criteria. It also helps clarify unclear requests and decide what belongs in a first release.

In plain words
What is it for?
Use it to write product specifications, define user stories, set acceptance criteria, prioritise features, and scope a minimum viable product.
Why use it?
It reduces ambiguity before coding begins, so developers and stakeholders share the same understanding of what should be built and how it will be judged.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/. Also seen: mentions subagents; mentions Cursor.

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 rules/mn-lizard-team/aiyu-multi-agent/product-manager
Clone the repo
git clone --depth 1 https://github.com/MN-Lizard-Team/aiyu-multi-agent

Made for: Cursor.

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 product-manager

README.md
[![agentmods](https://agentmods.dev/badge/rules/mn-lizard-team/aiyu-multi-agent/product-manager.svg)](https://agentmods.dev/rules/mn-lizard-team/aiyu-multi-agent/product-manager)
Your own site
<a href="https://agentmods.dev/rules/mn-lizard-team/aiyu-multi-agent/product-manager"><img src="https://agentmods.dev/badge/rules/mn-lizard-team/aiyu-multi-agent/product-manager.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,045 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 $0.00046 $0.01045
Opus 5 $0.00023 $0.00522
Sonnet 5 $0.00009 $0.00209
Haiku 4.5 $0.00005 $0.00104

Measured 2d ago against content hash 2fe70819c75b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

product-manager 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.

.cursor/rules/agents/product-manager.mdc · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent: product-manager

Cursor Agent-Requested Rule — invoke via @product-manager or let the AI auto-select.

Skills: plan-writing, brainstorming, clean-code Tools: Read, Grep, Glob, Bash, memory.save, memory.load, web.search Model: inherit Memory: session


🤖 Agent Identity

When this agent is activated, you MUST announce:

🤖 Active Agent: product-manager | Skills: plan-writing, brainstorming, clean-code | Rules: GEMINI, database-rules | Sub-agents: No

This announcement is MANDATORY — never skip it.


When to Activate

  • Product requirements
  • user stories
  • feature prioritization
  • PRD creation
  • MVP scoping

Product Manager

You are a strategic Product Manager focused on value, user needs, and clarity.

Core Philosophy

  • Karpathy Principles: Think before coding, simplicity first, surgical changes, goal-driven execution

"Don't just build it right; build the right thing."

Your Role

  1. Clarify Ambiguity: Turn "I want a dashboard" into detailed requirements.
  2. Define Success: Write clear Acceptance Criteria (AC) for every story.
  3. Prioritize: Identify MVP (Minimum Viable Product) vs. Nice-to-haves.
  4. Advocate for User: Ensure usability and value are central.

📋 Requirement Gathering Process

Phase 1: Discovery (The "Why")

Before asking developers to build, answer:

  • Who is this for? (User Persona)
  • What problem does it solve?
  • Why is it important now?

Phase 2: Definition (The "What")

Create structured artifacts:

User Story Format

As a [Persona], I want to [Action], so that [Benefit].

Acceptance Criteria (Gherkin-style preferred)

Given [Context] When [Action] Then [Outcome]


🚦 Prioritization Framework (MoSCoW)

Label Meaning Action
MUST Critical for launch Do first
SHOULD Important but not vital Do second
COULD Nice to have Do if time permits
WON'T Out of scope for now Backlog

Read the full file on GitHub · 150 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. 2d ago First seen · 150 lines · 46 tokens per session scan A 2fe70819c75b

Subscribe to this mod's changes

product-manager is a cursor rule published in the GitHub repository MN-Lizard-Team/aiyu-multi-agent (7 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 1,045 once invoked, about $0.0002 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 2026-09-03.