Mmcp.market

lifecycle-play-advisor skill

by deanpeters·deanpeters/Product-Manager-Skills·7.1k stars

Diagnose where a product sits in its lifecycle and which play fits — extend, replace, or retire. Use when a product is fading and you need the call, not just the worry.

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Install the lifecycle-play-advisor skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.

git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git /tmp/Product-Manager-Skills
mkdir -p ~/.claude/skills
cp -r /tmp/Product-Manager-Skills/skills/lifecycle-play-advisor ~/.claude/skills/lifecycle-play-advisor
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

Lifecycle Play Advisor

Purpose

Work out what to do with a product that has stopped growing. Three plays are available — extend, replace, retire — and this skill gets you to the right one through diagnosis rather than debate, then hands you to whichever skill executes it.

Most teams argue the play before establishing the stage. The argument is unwinnable that way, because nobody has agreed on what's actually happening to the product. Four questions fixes that.

This skill is deliberately willing to say "nothing yet." A mature product throwing off margin with manageable support cost doesn't need a play; it needs to be left alone and watched.

Input

Works best with: The product, and what makes you think something needs to change.

Also useful: Revenue trend and over how long, support load, what customers say, whether an internal driver (cost, capacity, strategy) is really behind the question, and what investment appetite exists.

Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.

Arriving empty-handed? That works too. The diagnosis runs on questions a PM can answer from what they already know — no report-pulling required. "I don't know" is a valid answer and becomes a labeled assumption in the recommendation.

Example invocations:

  • Our reporting module has been flat six quarters and people want to rebuild it. Extend, replace, or retire?
  • Leadership wants to kill our parts module. Walk me through whether that's right.

Key Concepts

The Three Plays

alongside. Cheapest, lowest risk, most often skipped because it isn't exciting.

  • Extend — add a variant or capability to the existing line. The product keeps running; you add

two products that compete with each other. The expensive play.

  • Replace — ship a successor and phase the old one out. GTM and EOL run simultaneously, for

competitor. The goal becomes losing the product without losing the customer.

  • Retire — phase out with no successor of your own. Customers land elsewhere, possibly with a

And the fourth answer that isn't a play: harvest — stop investing, keep running, set a review date.

Diagnosis Before Play

The seven transition questions establish stage; the pressure source discriminates the plays. Run both before recommending anything, and show your work — a recommendation the user can audit is one they can defend to someone else.

The Extension Bias

Default toward the cheapest play that addresses the actual pressure. Extension is under-considered in almost every room, because replacement is more interesting to build and retirement is more decisive to announce. Test extension explicitly, and record why it failed when it does.

Anti-Patterns (what this is NOT)

question — see ansoff-matrix and organic-growth-advisor.

  • Not a growth strategy tool. Where the next tranche of growth comes from is a different
  • Not a kill switch. "Nothing yet" and "harvest" are real outcomes.
  • Not the execution. It routes to the skill that runs the chosen play.

Facilitation Source of Truth

Use workshop-facilitation as the interaction protocol. Give the heads-up at the start — four questions, about fifteen minutes — and let the user dump context to skip ahead.

Application

This skill asks up to 4 adaptive questions, then recommends a play with its reasoning, its hazards, and a route out.

Question 1 of 4 — What product, and what makes you think something's wrong?

Agent asks:

"Which product are we looking at, and what prompted the question? The prompt matters as much as the product — flat revenue, rising support costs, a competitor move, and an exec remark lead to very different diagnoses."

Listen for whether the trigger is internal or external. An internal trigger — manufacturing wants the line, engineering wants to rewrite, finance wants the cost out — is legitimate, but it means the customer-facing case for change is weak and the transition has to be carried entirely by you. Name that early; it changes what the play costs.

Question 2 of 4 — Where is it actually in the lifecycle?

Agent asks:

"Let's establish the stage. Seven quick reads — yes or no, gut answers are fine:

  1. Is defending market share still profitable?
  2. Are loyalty efforts no longer retaining users?
  3. Are legacy support costs becoming unsustainable?
  4. Should we be running migration campaigns instead of loyalty ones?
  5. Are we losing money on certain distribution channels?
  6. Are our value-add bundles losing effectiveness?
  7. Is our data shifting from predictive to transitional?"

Score it:

Say the count back and name the pattern, not just the number. Yeses clustered on 5 and 6 (channel and price) point somewhere very different from yeses on 3 and 7 (support cost and data) — the first pattern is a distribution problem wearing a product costume.

Question 3 of 4 — What's actually driving the pressure?

Agent asks:

"Three sources. Which is loudest?

  1. Demand-side — customer needs shifted, segments moved, a competitor differentiated
  2. Supply/cost-side — components, production cost, support load, or a strategy change
  3. Capability-side — the technology is obsolete or the architecture has hit its limit

Pick one as primary, even if two apply."

Why this discriminates:

Name the trap out loud: supply-side pressure arrives at the roadmap disguised as a customer problem. "We need to rebuild this" often means "our costs are bad." That's a legitimate reason for a replacement — but saying it plainly changes what success looks like and who has to carry the transition.

Question 4 of 4 — Test the extension play

Agent asks:

"Before I recommend anything more expensive, four questions on extending what you have:

  1. Is there a segment a variant could serve?
  2. Is there a capability you could add without re-architecting?
  3. Would a repackage or rebrand reach a different buyer?
  4. Is the decline in the product, or in the channel or price around it?"

Question 4 catches the most expensive misdiagnosis in the set: a healthy product condemned because the distribution channel stopped working or the bundle lost its edge. Fixing the lever is far cheaper than replacing the product — and the broken lever carries straight over to the successor if you don't.

If all four are no, extension is genuinely off the table, and now the user has the "no, because…" on record for when someone asks in three months.

Final Step: Recommend the play

Deliver this structure:

## Lifecycle Play Recommendation: [Product]

**Stage:** [stage] — [n]/7 transition questions, clustered on [which]
**Primary pressure:** [demand / supply-cost / capability] — [evidence]
**Trigger was:** [internal / external] — [what that means for the transition]

### Recommended Play: [Extend / Replace / Retire / Harvest / Nothing yet]

**Because:** [two or three specifics from their answers]

**Extension test:** [passed and how, or failed and why — always state it]

**What this play costs:** [rough shape]

**What you're accepting by choosing it:** [the tradeoff, plainly]

### Hazards to plan for
- [The 2-3 hazards that apply to this play, from the seven]

### Assumptions I made
- [Anything answered "I don't know"]

Then offer numbered next steps:

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