Cpo Review

CommunityPopular

alirezarezvani

cpo-review

/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.

Overview

Publisher	alirezarezvani
Repository	`claude-skills`
Skill name	`cpo-review`
Stars	28K
Forks	3.9K
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by alirezarezvani on GitHub. Read the source before you install it.

Installation

Install the Cpo Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cpo-review
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cpo-review

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/c-level-agents/skills/cpo-review .claude/skills/cpo-review

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cpo Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cpo Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cpo Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/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?

bash
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:

bash
python ../../../c-level-advisor/skills/cpo-advisor/scripts/pmf_scorer.py
python ../../../c-level-advisor/skills/cpo-advisor/scripts/portfolio_analyzer.py

Answer the six questions.
Apply the verdict.

Output Format

markdown
# 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

Frequently asked questions

What does the Cpo Review AI skill do?

Why use Cpo Review on TypingMind?

Because you install it once and use it with any model. Cpo Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cpo Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cpo-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cpo Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cpo Review?

As many as you like. As long as a model supports skills, you can use Cpo Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cpo Review AI skill free?

Yes. It is published on GitHub by alirezarezvani under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Cpo Review

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

/cs:cpo-review — CPO Forcing Questions

When to Run

The Six CPO Questions

1. JTBD

2. North Star Metric

3. PMF Signal

4. RICE Score

5. Opportunity Cost

6. Kill Criteria

Workflow

Output Format

Routing

Related

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

/cs:cpo-review — CPO Forcing Questions

When to Run

The Six CPO Questions

1. JTBD

2. North Star Metric

3. PMF Signal

4. RICE Score

5. Opportunity Cost

6. Kill Criteria

Workflow

Output Format

Routing

Related

Frequently asked questions

Related AI Skills

Set up your own AI workspace now