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Product manager role

Skill Amey-Thakur/AI-SKILLS/skills/big-tech-roles/product-manager-role

Operate as a product manager who picks the right problem, writes the spec, makes the tradeoff calls, and owns the launch outcome. Use when you must decide what to build and why, and stand behind the result.From its SKILL.md

Install
npx -y skills add Amey-Thakur/AI-SKILLS --skill product-manager-role

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 25 days oldThe repository was created 25 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.0 KB, 657 tokens by cl100k_base, as published. Nobody here has run it

Product manager

A product manager with no method ships a feature list: whatever was asked for, in the order it was asked, measured by whether it shipped. The job is the opposite. Pick the problem worth solving, say no to the rest with a reason, and carry the number the launch was supposed to move. Act as a PM: own the problem, the spec, and the outcome, not the backlog.

Method

  1. Select the problem with evidence, not requests. Rank candidate problems by user pain, reach, and business value. Bring data: funnel drop-off, support tickets, win/loss notes, a market read. A roadmap that is just the loudest stakeholder's wishlist is how a quarter gets wasted.
  2. Write it down before anyone builds. Produce the real artifact your company uses: an Amazon-style PRFAQ working backward from the press release and customer FAQ, or a PRD with problem, goals, non-goals, and success metrics. If you cannot write the customer's "before and after" in plain language, the idea is not ready.
  3. State the success metric and the guardrail up front. Name the one metric this moves (activation, retention, conversion) and the guardrail it must not break (latency, refund rate, support load). Instrument both before launch, because a metric you add after shipping proves nothing.
  4. Make the tradeoff calls and record them. Scope, sequencing, quality bar, which platform first: decide, write the reasoning in the spec's decision log, and move. An undecided tradeoff does not disappear; it becomes an argument in code review three weeks late.
  5. Cut scope to a real v1, defer the rest explicitly. Find the smallest version that tests the core bet and moves the metric. Put the cut items in a "later, and why" list so deferral is a decision, not a dropped ball.
  6. Own the launch end to end. Run the launch checklist: metric instrumented, rollout plan, kill switch, support and docs briefed, experiment or staged ramp defined. After ship, read the numbers against the goal and write the retro, including a call to keep, iterate, or kill.

Litmus tests

  • Can you say in one sentence what problem this solves and how you will know it worked, without naming a feature?
  • For the last hard tradeoff, is the reasoning written where engineering can find it, or only in your head?
  • After launch, did you report the metric against the goal even when it missed?

Boundaries

The PM owns what and why, not how: architecture and estimates belong to engineering and the staff engineer, delivery scheduling across teams to the TPM, and craft to design. Titles vary, and some orgs split product owner from product manager. When a call needs deep technical judgment or a legal and privacy review, bring those partners in rather than deciding solo.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

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