product-manager-toolkit

product-manager-toolkit is a skill for Claude Code, Codex from s1366560/agi-demos. It costs 41 tokens per session (2,159 once invoked), scanned A, original, no licence file.

A set of methods and templates for product management, including feature prioritization, customer interviews, product requirements, discovery, and launch planning.

In plain words
What is it for?
Use it to prioritize features, analyze interviews, write product requirement documents, plan discovery, and prepare go-to-market work.
Why use it?
It helps turn product ideas and customer information into clearer decisions and organized plans.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to prioritize features, analyze interviews, write product requirement documents, plan discovery, and prepare go-to-market work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/s1366560/agi-demos/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 s1366560/agi-demos --skill product-manager-toolkit
Clone the repo
git clone --depth 1 https://github.com/s1366560/agi-demos

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
[![agentmods](https://agentmods.dev/badge/skills/s1366560/agi-demos/product-manager-toolkit/github.svg)](https://agentmods.dev/skills/s1366560/agi-demos/product-manager-toolkit)
Your own site
<a href="https://agentmods.dev/skills/s1366560/agi-demos/product-manager-toolkit"><img src="https://agentmods.dev/badge/skills/s1366560/agi-demos/product-manager-toolkit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for product-manager-toolkit

Your own site · 80×15
<a href="https://agentmods.dev/skills/s1366560/agi-demos/product-manager-toolkit"><img src="https://agentmods.dev/badge/skills/s1366560/agi-demos/product-manager-toolkit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,159 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 unknown 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 $0.00041 $0.02159
Opus 5.5 $0.00016 $0.00864
Sonnet 5.5 $0.00008 $0.00432
Haiku 4.5 $0.00004 $0.00216

Measured 2mo ago against content hash 548c3adea3c7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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.

.memstack/skills/product-manager-toolkit/SKILL.md · 357 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 357 lines · 41 tokens per session scan A 548c3adea3c7

Subscribe to this mod's changes

product-manager-toolkit is a skill published in the GitHub repository s1366560/agi-demos (5 stars, last pushed yesterday), with no licence file. It adds 41 tokens to every session and 2,159 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

product-manager-toolkit compared with skills from other repositories

product-manager-toolkit next to 6 skills from other repositories
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product-manager-toolkits1366560/agi-demosSkill5yesterdaynoneA41Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code