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Plan Pipeline Ceo Review

CommunityPopular
FlorianBruniaux
plan-pipeline-ceo-review

Strategic product gate: challenge the brief, find the 10-star product hiding inside the request, before writing any code

Overview

PublisherFlorianBruniaux
Repositoryclaude-code-ultimate-guide
Skill nameplan-pipeline-ceo-review
Stars
6K
Forks
782
Bundled files
Instructions only
LicenseCC-BY-SA-4.0
Links
  • 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 FlorianBruniaux on GitHub. Read the source before you install it.

Installation

Install the Plan Pipeline Ceo 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.
  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/FlorianBruniaux/claude-code-ultimate-guide.git /tmp/claude-code-ultimate-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-ultimate-guide/examples/skills/plan-pipeline/ceo-review .claude/skills/plan-pipeline-ceo-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plan Pipeline Ceo 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 Plan Pipeline Ceo 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 Plan Pipeline Ceo 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.

/plan-pipeline:ceo-review: Strategic Product Gate

Pre-implementation command. Inserts an explicit gate between "I have a request" and "I start coding". Challenges the literal request and asks what the real product should be.

Use in plan mode, before any implementation.


The Problem This Solves

Claude Code is optimized to build what you ask. If you say "add X", it builds X. It will not ask whether X is actually the right product. This command corrects that by explicitly switching into product-thinking mode before the implementation instinct kicks in.


When to Use

  • Before implementing any significant feature request
  • Especially when the request is specific ("add photo upload"), since specificity often signals the requester has already collapsed the solution space
  • When you want to pressure-test a direction before committing engineering time

Three Modes

The command asks the user to choose one before proceeding:

ModePostureUse when
SCOPE EXPANSIONFind the 10-star product, push scope upDirection is fuzzy, want to dream
HOLD SCOPEAccept direction, make the plan bulletproofDirection is locked, want rigor
SCOPE REDUCTIONStrip to minimum viable, cut ruthlesslyOverloaded backlog, need to ship fast

The assistant commits to the selected mode and does not drift mid-review.


Prompt Template

markdown
# /plan-pipeline:ceo-review

You are in CEO / founder review mode. Your job is NOT to implement anything.
Your job is to review the plan or feature request with product-level thinking
and return a better brief.

## Step 0: Choose Mode

Ask the user which mode to use (if not specified):
- SCOPE EXPANSION: Find the 10-star product. Push scope up. What's the version
  that feels inevitable and delightful?
- HOLD SCOPE: Accept the direction. Make this plan bulletproof. Catch every
  failure mode and unstated assumption.
- SCOPE REDUCTION: Find the minimum viable version that achieves the core
  outcome. Cut everything else.

Once the user selects, commit to that mode for the entire review.

## Step 1: Restate the Request

Summarize the literal request in 1-2 sentences. Be precise, not editorialized.

## Step 2: Challenge the Premise

Ask the more important question: what is this product actually FOR?

- What is the user's real job-to-be-done?
- Is the literal request the best way to solve it?
- What assumption is the request making that might be wrong?

## Step 3: The Real Product (EXPANSION) / Bulletproof Plan (HOLD) / MVP (REDUCTION)

**SCOPE EXPANSION**: Describe the 10-star version of this product.
- What would make this 10x better for 2x the effort?
- What do users actually want, not what they asked for?
- List 5-8 specific features or design decisions that would make this feel
  inevitable.

**HOLD SCOPE**: Accept the direction. Now find everything that can go wrong.
- Unstated assumptions in the request
- Edge cases that are not covered
- Missing error states
- UX gaps
- Security or trust boundary issues
- Operational concerns (monitoring, rollback, data migration)

**SCOPE REDUCTION**: What is the smallest version that proves the core value?
- What is the one thing this must do?
- What can be cut without losing the point?
- What can be deferred to v2?

## Step 4: Recommendation

Return one of:
- **Proceed as stated**: the original request is the right product
- **Reframe**: here is the better brief (with specifics)
- **Reject**: here is why this is the wrong direction, and what to build instead

Do NOT make any code changes. This is a review, not an implementation.

Example

Input: "Let sellers upload a photo for their listing"

Output (SCOPE EXPANSION):

"Photo upload" is not the feature. The real job is helping sellers create listings that actually sell.

Here's the 10-star version: auto-identify the product from the photo, pull SKU and specs from the web, draft a title and description automatically, suggest which uploaded photo converts best as the hero image, detect low-quality photos (dark, cluttered, low-trust) before they go live.

Recommendation: Reframe. The brief should be "smart listing creation from photo" not "photo upload".


Pipeline Position

/plan-pipeline:ceo-review    -> lock product direction   <- you are here
/plan-pipeline:eng-review    -> lock technical architecture
/plan-pipeline:start         -> produce implementation plan
/plan-pipeline:validate      -> validate before execution
/plan-pipeline:execute       -> execute to merged PR

Frequently asked questions

What does the Plan Pipeline Ceo Review AI skill do?

Strategic product gate: challenge the brief, find the 10-star product hiding inside the request, before writing any code

Why use Plan Pipeline Ceo Review on TypingMind?

Because you install it once and use it with any model. Plan Pipeline Ceo 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 Plan Pipeline Ceo Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FlorianBruniaux/claude-code-ultimate-guide/tree/main/examples/skills/plan-pipeline/ceo-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Plan Pipeline Ceo 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 Plan Pipeline Ceo Review?

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

Is the Plan Pipeline Ceo Review AI skill free?

Yes. It is published on GitHub by FlorianBruniaux under the CC-BY-SA-4.0 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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