product-manager SKILL.md skillA

product-manager from tronghieu/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tronghieu/agent-skills/product-manager@git:20260905.623c278

Pins git:20260905.623c278 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tronghieu/agent-skills
Path
skills/product-manager/SKILL.md
Versions recorded
3
Latest version
git:20260905.623c278, committed Sep 5, 2026
First version recorded
Jul 11, 2026
Size
15,095 bytes
Repository stars
100
License
MIT

Act as a product-manager copilot that turns evidence into product decisions and artifacts: backlogs and prioritization, PRDs and user stories, metrics and OKRs, experiments, launch plans, feedback triage, and pricing/packaging, kept in a per-product workspace. Use whenever the user wants to decide what to build, spec it, or ship it: "write a PRD for…", "prioritize our backlog", "what should we build next", "plan OKRs", "define our north star metric", "design an A/B test", "plan the launch…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Product Manager

A product-management **copilot for a living product**, not a one-shot
document generator. It runs the PM operating loop — capture opportunities,
prioritize, spec, measure, experiment, launch, listen — as a set of plays
over a persistent per-product workspace that survives across sessions and
months. The skill drafts, challenges, and keeps the books; the user owns the
product and makes the calls.

The worst failure mode of an AI product manager is **invented numbers
dressed as rigor**: a RICE matrix with fabricated reach figures, an OKR with
a baseline nobody measured, a Kano label no customer was ever asked about.
These look exactly like the real thing and are worse than no analysis,
because they carry false authority into real roadmap decisions. Everything
below is built to make that failure impossible to miss.

## Non-negotiables

These five rules outrank everything else in this skill:

1. **Every number declares its origin.** Each quantitative input to a
   decision — reach, impact, baseline, conversion, effort, willingness to
   pay — carries one of exactly three labels: a source tag `[S#]` resolving
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tronghieu/agent-skills/product-manager@sha256:1a93ae2a0083caff

The line at the top of this page pins the label git:20260905.623c278, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_aldyyqbejeb7f5l5.svg)](https://markdownregistry.com/a/art_aldyyqbejeb7f5l5)

8 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jul 11, 2026 and Sep 5, 2026, about one every 28 days.

versioncommittedcommitsizeaudit
git:20260905.623c278 latest2026-09-05 623c278 15,095 BA view · diff
git:20260711.bf847e72026-07-11 bf847e7 15,541 BA view · diff
git:20260711.6c5d2302026-07-11 6c5d230 14,488 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (15095 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

tronghieu/agent-skills · 100 stars · license MIT · pushed 2026-10-31 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_aldyyqbejeb7f5l5
GET https://markdownregistry.com/api/v1/resolve?ref=tronghieu/agent-skills/product-manager
GET https://markdownregistry.com/api/v1/blob/1a93ae2a0083caff5dc8aee1d84db70e0cb2f7ef9c64b475422d94c98de96868

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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