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Get Started Free →PM career ladder rubrics from APM through VP/CPO across product sense, execution, leadership, strategy, and communication. Includes gap analysis, growth planning, and promotion packet templates.
.claude/skills/borghei-pm-career-ladder/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 23% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 80% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 145% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 173% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 136% | 0% |
A consolidated, opinionated PM career ladder for ICs from APM to Group PM and managers from Director to VP/CPO. The ladder spans five capability dimensions -- product sense, execution, leadership, strategy, and communication -- with explicit behaviors per level. It bundles a level-by-level rubric, a gap-analysis worksheet, a 6-month growth plan template, and a promotion packet template. A level is reached when a PM operates at that bar consistently across all five dimensions for >=2 quarters, not the high-water mark of a single quarter.
When NOT to use: interview prep (use pm-interview-prep/), new-role onboarding (use pm-onboarding/), 1:1 templates (use pm-1on1s/).
Before generating the assessment or plan, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
See references/ladder-playbook.md for the full ladder table, rubric detail, gap-analysis steps, growth-plan and promo-packet structures, and troubleshooting.
assets/gap_analysis.md — self-scoring + manager-scoring worksheet.assets/growth_plan.md — 6-month growth plan template.assets/promo_packet.md — promotion packet template.External: Square's published PM ladder; Rachitsky, L. Lenny's Newsletter (PM rubric/growth essays); Reforge PM Growth Framework; Wodtke, C. Radical Focus.
In scope: IC ladder (APM-GPM) and management ladder (Director-VP/CPO); gap analysis, growth planning, promo packet templates; self-scoring rubric across 5 dimensions; conversation prompts for managers and skip-levels.
Out of scope: compensation/salary calibration (use levels.fyi, Pave, or comp bands); interviewer-side hiring rubrics; job-change/negotiation strategy; company-specific ladders (this is a consolidated industry baseline).
Caveats: Every company calibrates differently — a startup "Sr PM" != a 5,000-person "Sr PM"; adjust for context. Promotion is part meritocratic, part political; the rubric covers the meritocratic half. Growth is non-linear — continuous investment matters more than even-paced advancement.
| Integration | Direction | What Flows | |-------------|-----------|------------| | pm-interview-prep/ | Bidirectional | The rubric calibrates the bar for external interviews and internal calibration the same way | | pm-onboarding/ | Feeds into | New-role onboarding ends with the first ladder self-score | | pm-1on1s/ | Bidirectional | Quarterly 1:1s review ladder progress; the ladder structures the conversation | | senior-pm/stakeholder-mapper/ | Reuses | Promotion requires stakeholder support; the stakeholder mapper helps map the calibration room | | personal-productivity/weekly-review/ | Feeds into | Weekly review captures evidence that aggregates into the monthly impact summary |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-02 | fail→pass | 18,634 | 12,988 | -30% | 1 | 1 | 0% | 2,750 | 3,372 | +23% | 0 | 0 | — |
case-01 | fail→fail | 22,984 | 25,023 | +9% | 1 | 1 | 0% | 3,212 | 4,810 | +50% | 0 | 0 | — |
case-03 | fail→fail | 18,183 | 15,455 | -15% | 1 | 1 | 0% | 2,792 | 3,806 | +36% | 0 | 0 | — |
case-04 | fail→pass | 16,949 | 20,062 | +18% | 1 | 1 | 0% | 2,459 | 4,429 | +80% | 0 | 0 | — |
case-05 | pass→pass | 12,977 | 10,585 | -18% | 1 | 1 | 0% | 1,831 | 2,945 | +61% | 0 | 0 | — |
case-06 | pass→pass | 13,663 | 21,472 | +57% | 1 | 1 | 0% | 1,951 | 4,531 | +132% | 0 | 0 | — |
case-07 | fail→pass | 10,033 | 15,456 | +54% | 1 | 1 | 0% | 1,471 | 3,611 | +145% | 0 | 0 | — |
case-08 | fail→pass | 7,359 | 12,356 | +68% | 1 | 1 | 0% | 1,221 | 3,335 | +173% | 0 | 0 | — |
case-09 | fail→pass | 8,553 | 11,082 | +30% | 1 | 1 | 0% | 1,325 | 3,121 | +136% | 0 | 0 | — |
case-10 | pass→pass | 10,209 | 21,015 | +106% | 1 | 1 | 0% | 1,547 | 4,720 | +205% | 0 | 0 | — |
case-11 | fail→pass | 6,576 | 10,270 | +56% | 1 | 1 | 0% | 987 | 3,025 | +206% | 0 | 0 | — |
case-12 | fail→pass | 14,159 | 7,839 | -45% | 1 | 1 | 0% | 2,492 | 2,510 | +1% | 0 | 0 | — |
case-13 | fail→fail | 6,216 | 8,848 | +42% | 1 | 1 | 0% | 896 | 2,757 | +208% | 0 | 0 | — |
case-14 | fail→fail | 21,259 | 21,390 | +1% | 1 | 1 | 0% | 3,170 | 4,628 | +46% | 0 | 0 | — |
case-15 | fail→pass | 7,325 | 7,360 | +0% | 1 | 1 | 0% | 1,206 | 2,424 | +101% | 0 | 0 | — |
case-16 | fail→pass | 13,149 | 15,813 | +20% | 1 | 1 | 0% | 1,922 | 3,654 | +90% | 0 | 0 | — |
case-17 | fail→pass | 12,498 | 14,515 | +16% | 1 | 1 | 0% | 1,760 | 3,593 | +104% | 0 | 0 | — |
case-18 | pass→pass | 14,886 | 16,805 | +13% | 1 | 1 | 0% | 2,048 | 3,574 | +75% | 0 | 0 | — |
case-19 | pass→pass | 12,274 | 16,331 | +33% | 1 | 1 | 0% | 1,751 | 3,812 | +118% | 0 | 0 | — |
case-20 | pass→pass | 13,241 | 22,526 | +70% | 1 | 1 | 0% | 1,967 | 4,758 | +142% | 0 | 0 | — |
case-21 | pass→pass | 13,978 | 17,255 | +23% | 1 | 1 | 0% | 1,947 | 3,905 | +101% | 0 | 0 | — |
case-22 | pass→pass | 10,751 | 13,264 | +23% | 1 | 1 | 0% | 1,514 | 3,172 | +110% | 0 | 0 | — |
case-23 | fail→pass | 9,081 | 3,624 | -60% | 1 | 1 | 0% | 1,286 | 1,925 | +50% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +48 percentage points is the difference between those two pass rates over the 23 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.