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Cro Review

CommunityPopular
alirezarezvani
cro-review

/cs:cro-review <plan> — Pipeline-paranoid interrogation of revenue, win rate, NRR, and ramp time. Use when the forecast misses pipeline coverage, win rates drop, or before scaling the sales team.

Overview

Publisheralirezarezvani
Repositoryclaude-skills
Skill namecro-review
Stars
28K
Forks
3.9K
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 Cro Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cro-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/cro-review .claude/skills/cro-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cro 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 Cro 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 Cro 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:cro-review — CRO Forcing Questions

Command: /cs:cro-review <plan>

The pipeline-paranoid operator pressure-tests revenue assumptions. Six questions that surface next-quarter pain this quarter.

When to Run

  • Before committing to a quarterly revenue target
  • Before changing sales motion (PLG ↔ sales-led, mid-market ↔ enterprise)
  • Before hiring a batch of reps
  • When pipeline coverage drops below 3x
  • When NRR is trending down

The Six CRO Questions

1. Pipeline Coverage

What is pipeline coverage for the current quarter, by stage?

  • Inbound-heavy: 3x. Outbound-heavy: 4x. Below either threshold = act now.
  • Stage-weighted, not just total.

2. Win Rate Trajectory

What's win rate this quarter vs the last 4 — and what's the leak point?

  • Stage-by-stage conversion.
  • If a single stage softens, identify why before forecasting.

3. NRR Decomposition

What's gross retention, contraction, and expansion separately?

  • NRR alone hides churn.
  • A 110% NRR with 95% gross retention is different from 110% with 80%.

4. Ramp Time

For the last 4 hires, how many days to first deal and to quota?

  • If ramp > 90 days at growth stage, hiring profile or enablement is broken.
  • Forecasted hires must build in ramp.

5. Discount Discipline

What's the median discount this quarter vs last 4? Where is it creeping?

  • Discount creep is the leading indicator of pricing or positioning weakness.
  • Cap discounts by approver tier.

6. Pipeline Source Mix

What % of pipeline is marketing-sourced, sales-sourced, partner-sourced?

  • If one source dominates > 80%, you have concentration risk.
  • Cross-check with cs-cmo-advisor.

Workflow

bash
python ../../../c-level-advisor/skills/cro-advisor/scripts/revenue_forecast_model.py
python ../../../c-level-advisor/skills/cro-advisor/scripts/churn_analyzer.py

Output Format

markdown
# CRO Review: <plan>
**Date:** YYYY-MM-DD

## Pipeline
- Coverage: X.Xx (target 3x+)
- Win rate: X% (4Q trend: ↑ / → / ↓)
- Top leaking stage: <name>

## Retention
- Gross retention: X%
- NRR: X%
- Expansion: X%
- Contraction: X%

## Ramp
- New hires last quarter: N
- Median days to first deal: X
- Median days to quota: X

## Discount
- Median discount this quarter: X%
- Trend vs 4Q ago: <delta>

## Source Mix
- Marketing: X% | Sales: X% | Partner: X%

## Verdict
🟢 ON PLAN | 🟡 GAP | 🔴 PIPELINE CRISIS

## Next Steps
[3 concrete actions]

Routing

  • /cs:cfo-review — does this hit the cash plan?
  • /cs:cmo-review — is pipeline source-mix healthy?
  • /cs:execute — quarterly plan if GREEN
  • /cs:boardroom — if RED

Related

Version: 1.0.0

Frequently asked questions

What does the Cro Review AI skill do?

/cs:cro-review <plan> — Pipeline-paranoid interrogation of revenue, win rate, NRR, and ramp time. Use when the forecast misses pipeline coverage, win rates drop, or before scaling the sales team.

Why use Cro Review on TypingMind?

Because you install it once and use it with any model. Cro 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 Cro 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/cro-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cro 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 Cro Review?

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

Is the Cro 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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