Cpo review

Skill alirezarezvani/claude-skills/c-level-advisor/c-level-agents/skills/cpo-review

345 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 330+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory, research, business operations, commercial & finance, and your daily productivity skills.

Install

npx -y skills add alirezarezvani/claude-skills --skill cpo-review

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What its author says it does

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/cs:cpo-review <plan> — JTBD-driven interrogation of product roadmap, PMF signal, and portfolio focus. Use when committing a quarter's roadmap, deciding whether to kill a feature, or claiming PMF without a retention curve.

SKILL.md

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/cs:cpo-review — CPO Forcing Questions

Command: /cs:cpo-review <plan>

The JTBD-driven builder cuts the roadmap in half. Six questions to surface what to ship and what to kill.

When to Run

Before quarterly roadmap commitment
Before launching a new product line
Before adding > 3 features to a release
When retention is flat or declining
When the team is debating "should we build X?"

The Six CPO Questions

1. JTBD

What job is this feature hired to do, in the user's words?

Not "improve onboarding." "Help a new ops manager get their first deal closed within 7 days."
Job ≠ feature. Hire ≠ try.

2. North Star Metric

What user behavior does this move, and how does that ladder to the North Star?

The metric must be leading, behavior-based, and value-correlated.
If you can't trace the feature to the North Star, don't build it.

3. PMF Signal

What's the retention curve for users who hire this job — is it flat, decaying, or smiling?

Flat or smiling = PMF signal. Decaying = no PMF.
"Users like it in surveys" is not a signal.

4. RICE Score

Reach, Impact, Confidence, Effort — what's the score and where does this rank in the queue?

python product-team/skills/product-manager-toolkit/scripts/rice_prioritizer.py

5. Opportunity Cost

What gets cut if this ships? Name the specific initiative or feature.

Headcount and time are zero-sum. The cut list is the focus list.

6. Kill Criteria

What signal would tell you in 90 days that this was the wrong bet?

Define the metric and threshold in writing, before launch.
If you can't define a kill criterion, you can't ship responsibly.

Workflow

Run the analyses:

python ../../../skills/cpo-advisor/scripts/pmf_scorer.py
python ../../../skills/cpo-advisor/scripts/portfolio_analyzer.py

Answer the six questions.
Apply the verdict.

Output Format

# CPO Review: <feature/plan>
**Date:** YYYY-MM-DD

## JTBD
> <one sentence in user voice>

## North Star Link
- Metric moved: <name>
- Expected delta: <%>

## PMF Signal
- Retention curve shape: flat / smiling / decaying
- Cohort sample size: N

## Score
- RICE: <number>
- Rank in queue: #N of M

## Cut List
- Cut: <initiative>
- Reason: <why this matters more>

## Kill Criteria (90 days)
- Metric: <name>
- Threshold: <value>
- Action if missed: <kill | iterate>

## Verdict
🟢 SHIP | 🟡 SHARPEN | 🔴 KILL

Routing

/cs:cmo-review — does the positioning support this feature?
/cs:execute — build the 90-day plan
/cs:post-mortem — if kill criteria triggered

Agent: cs-cpo-advisor
Skill: cpo-advisor
Execution: product-team/skills/product-manager-toolkit/

Version: 1.0.0