product-manager-toolkit

product-manager-toolkit is a skill for Claude Code, Codex from hoangatg/ai-agent-toolkit. It costs 38 tokens per session (801 once invoked), scanned A, original, MIT.

A guide to product management, including requirements documents, user stories, prioritization, roadmaps, and communication with stakeholders.

In plain words
What is it for?
Use it to discover user needs, write product requirements, prioritize features with frameworks such as RICE, plan releases, and define a minimum viable product.
Why use it?
It helps teams decide what to build, why it matters, and which work should come first instead of managing an unstructured backlog.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to discover user needs, write product requirements, prioritize features with frameworks such as RICE, plan releases, and define a minimum viable product.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hoangatg/ai-agent-toolkit/product-manager-toolkit
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.

Any agent
npx skills add hoangatg/ai-agent-toolkit --skill product-manager-toolkit
Clone the repo
git clone --depth 1 https://github.com/hoangatg/ai-agent-toolkit

Made for: Claude Code, Codex.

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-toolkit

README.md
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Your own site
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Your own site · 80×15
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Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 801 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00038 $0.00801
Opus 5 $0.00019 $0.00400
Sonnet 5 $0.00008 $0.00160
Haiku 4.5 $0.00004 $0.00080

Measured 8d ago against content hash 7ae89e591e24, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

product-manager-toolkit 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 8d 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.

.agent/skills/product-manager-toolkit/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Manager Toolkit

Build the right thing, not just build things right.


1. Product Discovery

Framework Selection

Framework Best For
Jobs to Be Done Understanding true user needs
Design Thinking Innovative solutions
Lean Startup Validating assumptions fast
User Story Mapping Feature prioritization

Discovery Questions

Question Purpose
Who is the user? Target audience clarity
What problem are we solving? Problem validation
How do they solve it today? Competitive landscape
What does success look like? Measurable outcomes
What's the smallest useful version? MVP scoping

2. Prioritization Frameworks

RICE Scoring

Factor Calculation
Reach How many users affected per quarter
Impact Massive (3x), High (2x), Medium (1x), Low (0.5x), Minimal (0.25x)
Confidence High (100%), Medium (80%), Low (50%)
Effort Person-months
Score (Reach × Impact × Confidence) / Effort

MoSCoW

Category Definition
Must have Launch blocker
Should have Important, not critical
Could have Nice to have
Won't have Out of scope (this release)

3. PRD Structure

Section Content
Problem What pain point, for whom
Hypothesis What we believe will happen
Success metrics How we'll measure
User stories As a..., I want..., So that...
Requirements Functional + non-functional
Design Wireframes, flows
Technical notes Constraints, dependencies
Timeline Milestones and deadlines

4. User Stories

Format

As a [persona]
I want to [action]
So that [benefit]

Acceptance Criteria (Given-When-Then)

Given [context]
When [action]
Then [expected result]

5. Metrics & KPIs

Read the full file on GitHub · 129 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. 8d ago First seen · 129 lines · 38 tokens per session scan A 7ae89e591e24

Subscribe to this mod's changes

product-manager-toolkit is a skill published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 5mo ago), licensed MIT. It adds 38 tokens to every session and 801 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.