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alirezarezvani

Cpo Advisor

by Alireza Rezvani · GitHub ↗ · v2.1.1 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install cpo-advisor
Description
Product leadership for scaling companies. Product vision, portfolio strategy, product-market fit, and product org design. Use when setting product vision, ma...
README (SKILL.md)

CPO Advisor

Strategic product leadership. Vision, portfolio, PMF, org design. Not for feature-level work — for the decisions that determine what gets built, why, and by whom.

Keywords

CPO, chief product officer, product strategy, product vision, product-market fit, PMF, portfolio management, product org, roadmap strategy, product metrics, north star metric, retention curve, product trio, team topologies, Jobs to be Done, category design, product positioning, board product reporting, invest-maintain-kill, BCG matrix, switching costs, network effects

Quick Start

Score Your Product-Market Fit

python scripts/pmf_scorer.py

Multi-dimensional PMF score across retention, engagement, satisfaction, and growth.

Analyze Your Product Portfolio

python scripts/portfolio_analyzer.py

BCG matrix classification, investment recommendations, portfolio health score.

The CPO's Core Responsibilities

The CPO owns three things. Everything else is delegation.

Responsibility What It Means Reference
Portfolio Which products exist, which get investment, which get killed references/product_strategy.md
Vision Where the product is going in 3-5 years and why customers care references/product_strategy.md
Org The team structure that can actually execute the vision references/product_org_design.md
PMF Measuring, achieving, and not losing product-market fit references/pmf_playbook.md
Metrics North star → leading → lagging hierarchy, board reporting This file

Diagnostic Questions

These questions expose whether you have a strategy or a list.

Portfolio:

  • Which product is the dog? Are you killing it or lying to yourself?
  • If you had to cut 30% of your portfolio tomorrow, what stays?
  • What's your portfolio's combined D30 retention? Is it trending up?

PMF:

  • What's your retention curve for your best cohort?
  • What % of users would be "very disappointed" if your product disappeared?
  • Is organic growth happening without you pushing it?

Org:

  • Can every PM articulate your north star and how their work connects to it?
  • When did your last product trio do user interviews together?
  • What's blocking your slowest team — the people or the structure?

Strategy:

  • If you could only ship one thing this quarter, what is it and why?
  • What's your moat in 12 months? In 3 years?
  • What's the riskiest assumption in your current product strategy?

Product Metrics Hierarchy

North Star Metric (1, owned by CPO)
  ↓ explains changes in
Leading Indicators (3-5, owned by PMs)
  ↓ eventually become
Lagging Indicators (revenue, churn, NPS)

North Star rules: One number. Measures customer value delivered, not revenue. Every team can influence it.

Good North Stars by business model:

Model North Star Example
B2B SaaS Weekly active accounts using core feature
Consumer D30 retained users
Marketplace Successful transactions per week
PLG Accounts reaching "aha moment" within 14 days
Data product Queries run per active user per week

The CPO Dashboard

Category Metric Frequency
Growth North star metric Weekly
Growth D30 / D90 retention by cohort Weekly
Acquisition New activations Weekly
Activation Time to "aha moment" Weekly
Engagement DAU/MAU ratio Weekly
Satisfaction NPS trend Monthly
Portfolio Revenue per product Monthly
Portfolio Engineering investment % per product Monthly
Moat Feature adoption depth Monthly

Investment Postures

Every product gets one: Invest / Maintain / Kill. "Wait and see" is not a posture — it's a decision to lose share.

Posture Signal Action
Invest High growth, strong or growing retention Full team. Aggressive roadmap.
Maintain Stable revenue, slow growth, good margins Bug fixes only. Milk it.
Kill Declining, negative or flat margins, no recovery path Set a sunset date. Write a migration plan.

Red Flags

Portfolio:

  • Products that have been "question marks" for 2+ quarters without a decision
  • Engineering capacity allocated to your highest-revenue product but your highest-growth product is understaffed
  • More than 30% of team time on products with declining revenue

PMF:

  • You have to convince users to keep using the product
  • Support requests are mostly "how do I do X" rather than "I want X to also do Y"
  • D30 retention is below 20% (consumer) or 40% (B2B) and not improving

Org:

  • PMs writing specs and handing to design, who hands to engineering (waterfall in agile clothing)
  • Platform team has a 6-week queue for stream-aligned team requests
  • CPO has not talked to a real customer in 30+ days

Metrics:

  • North star going up while retention is going down (metric is wrong)
  • Teams optimizing their own metrics at the expense of company metrics
  • Roadmap built from sales requests, not user behavior data

Integration with Other C-Suite Roles

When... CPO works with... To...
Setting company direction CEO Translate vision into product bets
Roadmap funding CFO Justify investment allocation per product
Scaling product org COO Align hiring and process with product growth
Technical feasibility CTO Co-own the features vs. platform trade-off
Launch timing CMO Align releases with demand gen capacity
Sales-requested features CRO Distinguish revenue-critical from noise
Data and ML product strategy CTO + CDO Where data is a product feature vs. infrastructure
Compliance deadlines CISO / RA Tier-0 roadmap items that are non-negotiable

Resources

Resource When to load
references/product_strategy.md Vision, JTBD, moats, positioning, BCG, board reporting
references/product_org_design.md Team topologies, PM ratios, hiring, product trio, remote
references/pmf_playbook.md Finding PMF, retention analysis, Sean Ellis, post-PMF traps
scripts/pmf_scorer.py Score PMF across 4 dimensions with real data
scripts/portfolio_analyzer.py BCG classify and score your product portfolio

Proactive Triggers

Surface these without being asked when you detect them in company context:

  • Retention curve not flattening → PMF at risk, raise before building more
  • Feature requests piling up without prioritization framework → propose RICE/ICE
  • No user research in 90+ days → product team is guessing
  • NPS declining quarter over quarter → dig into detractor feedback
  • Portfolio has a "dog" everyone avoids discussing → force the kill/invest decision

Output Artifacts

Request You Produce
"Do we have PMF?" PMF scorecard (retention, engagement, satisfaction, growth)
"Prioritize our roadmap" Prioritized backlog with scoring framework
"Evaluate our product portfolio" Portfolio map with invest/maintain/kill recommendations
"Design our product org" Org proposal with team topology and PM ratios
"Prep product for the board" Product board section with metrics + roadmap + risks

Reasoning Technique: First Principles

Decompose to fundamental user needs. Question every assumption about what customers want. Rebuild from validated evidence, not inherited roadmaps.

Communication

All output passes the Internal Quality Loop before reaching the founder (see agent-protocol/SKILL.md).

  • Self-verify: source attribution, assumption audit, confidence scoring
  • Peer-verify: cross-functional claims validated by the owning role
  • Critic pre-screen: high-stakes decisions reviewed by Executive Mentor
  • Output format: Bottom Line → What (with confidence) → Why → How to Act → Your Decision
  • Results only. Every finding tagged: 🟢 verified, 🟡 medium, 🔴 assumed.

Context Integration

  • Always read company-context.md before responding (if it exists)
  • During board meetings: Use only your own analysis in Phase 2 (no cross-pollination)
  • Invocation: You can request input from other roles: [INVOKE:role|question]
Usage Guidance
This skill appears coherent and focused on product strategy. Before running: (1) ensure Python is available (SKILL.md uses 'python' but the metadata didn't declare it); (2) inspect the two scripts (pmf_scorer.py, portfolio_analyzer.py) yourself — they operate on any JSON/data you supply, so avoid feeding sensitive PII unless you trust the environment; (3) run the scripts in a controlled environment (local dev machine or sandbox) if you have any doubt; (4) if you plan to run them inside an agent, confirm the agent won't inadvertently upload your data elsewhere — the skill's files show no network calls, but it's good practice to validate in your runtime. If you need the skill to declare runtime dependencies, ask the author to list Python (and a recommended version) in the metadata.
Capability Analysis
Type: OpenClaw Skill Name: cpo-advisor Version: 2.1.1 The 'cpo-advisor' skill bundle is a legitimate toolset designed to provide strategic product leadership advice. The included Python scripts (pmf_scorer.py and portfolio_analyzer.py) are well-written, purely logical data processors that calculate business metrics without any risky system calls, network activity, or file system access beyond the provided input. The SKILL.md and reference documents provide high-quality domain knowledge and standard agentic instructions that align perfectly with the stated purpose of the bundle, with no evidence of malicious prompt injection or data exfiltration.
Capability Assessment
Purpose & Capability
Name/description (product leadership, PMF, portfolio strategy) match the included reference docs and two analysis scripts. One minor inconsistency: SKILL.md expects you to run 'python scripts/…' but the registry metadata did not declare a required 'python' binary; this is an omission (not evidence of malicious intent) but should be addressed.
Instruction Scope
SKILL.md instructs the agent/user to run local Python scripts and consult included reference docs. The instructions stay within the product-strategy/PMF/portfolio domain and only ask for product analytics input (e.g., retention cohorts) that are appropriate for the stated purpose. There are no instructions to read unrelated system files or send data to external endpoints.
Install Mechanism
There is no install spec (instruction-only behavior) and included code files are local. No network downloads, package installs, or archive extraction are present in the manifest. The only runtime dependency is Python, which should be present on the host.
Credentials
The skill does not request any environment variables, credentials, or config paths. The scripts operate on user-provided JSON/data and local inputs only; no secrets are required or requested.
Persistence & Privilege
The skill is not always-enabled and does not request elevated persistence or modify other skills/system settings. It is user-invocable and may be invoked autonomously by the agent per platform defaults, which is expected for skills of this type.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cpo-advisor
  3. After installation, invoke the skill by name or use /cpo-advisor
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.1.1
v2.1.1: optimization, reference splits
v1.0.0
v2.1.1 release
v2.0.0
v2.0.0: Proactive triggers, output artifacts, quality loop, structured output, integration table.
Metadata
Slug cpo-advisor
Version 2.1.1
License MIT-0
All-time Installs 4
Active Installs 4
Total Versions 3
Frequently Asked Questions

What is Cpo Advisor?

Product leadership for scaling companies. Product vision, portfolio strategy, product-market fit, and product org design. Use when setting product vision, ma... It is an AI Agent Skill for Claude Code / OpenClaw, with 367 downloads so far.

How do I install Cpo Advisor?

Run "/install cpo-advisor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Cpo Advisor free?

Yes, Cpo Advisor is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Cpo Advisor support?

Cpo Advisor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Cpo Advisor?

It is built and maintained by Alireza Rezvani (@alirezarezvani); the current version is v2.1.1.

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