One free file. No install, no account, no subscription. Paste it into the AI you already use, and generic answers become the kind of advice a seasoned product leader gives: a clear recommendation, the right framework for the moment, and a gut-check on your blind spots.
You ask: "We have 5 features requested for next quarter but only room for 2. How do I decide?"
| 🤖 Plain AI | 🎯 AI + product-skill |
|---|---|
|
"It depends on impact and effort. You could try a framework like RICE or MoSCoW. Gather stakeholder input, weigh each feature against your goals, balance quick wins against strategic bets…" Lists options. Hands the work back to you. No recommendation, no opinion. |
Use RICE here — you have rough reach and effort, so it gives a defensible ranking fast. Ship A and C this quarter. A is high-reach, low-effort — the obvious win. C is the enabler the rest depends on. Defer B (high effort, unproven), park D + E. |
Note
Same AI. Same question. One paste of difference — a hedge-everything answer becomes a decision you can defend, plus a check on where it could bite you.
(The A–E features are a placeholder to show the format — not a real case.)
Open the visual field guide → — the whole skill, made visual. Browse 30+ frameworks across 10 disciplines (strategy, discovery, prioritization, metrics, AI-native PM, GTM, pricing, growth, org, and career) and try the thinking live in your browser — no install, no account:
- 🎚️ RICE scorer — edit reach × impact × confidence ÷ effort and watch the ranking re-sort live
- 🎯 Positioning builder — derive a Dunford-style positioning statement field by field
- 💰 Pricing / EVC calculator — compute a defensible value ceiling and Good / Better / Best tiers
- 🛡️ Blind-spot tagger — match the bias-check ritual to your stakes and generate a decision tag
It's the same SKILL.md you paste into your AI — just rendered as an interactive guide so you can see how a practitioner actually uses it.
1. Copy the contents of
SKILL.md(the whole file). · 2. Paste it as your first message in a new chat. · 3. Ask your product question normally. Done.
📋 ChatGPT
Paste SKILL.md as your first message in a new chat — or attach the file. Then ask away.
💡 Never re-paste: save it as the instructions for a Custom GPT or a Project.
📋 Claude
Paste SKILL.md into a new chat — or add it to a Project's custom instructions, or load it as a Skill.
💡 Never re-paste: drop it into a Project as a knowledge file and it's always on.
📋 Gemini
Paste SKILL.md as your first message in a new chat — or save it as a Gem. Then ask away.
Copy a line, paste your own details, and go:
🥇 Prioritize — "I have 5 features and room for 2 next quarter. Help me decide."
📝 Draft a PRD — "Turn these messy notes into a one-page PRD:
<paste notes>"
🎯 Sharpen positioning — "Poke holes in this positioning statement:
<paste>"
📊 Pick a metric — "What metric should we use for
<feature>— and how could it backfire?"
💰 Pressure-test pricing — "Here's our pricing. What will people actually pay, and where's the risk?
<paste>"
| When you're trying to… | …it helps you |
|---|---|
| 🧭 Decide what to build next | Pick the right way to prioritize and actually score your options |
| 📝 Write a PRD or one-pager | Draft a decision-ready doc — not a wall of text |
| 🎯 Sharpen your positioning | Nail who it's for and why it wins |
| 💰 Set or defend pricing | Pressure-test your model and what people will really pay |
| 📊 Choose success metrics | Pick metrics that won't quietly game themselves |
| 🤖 Ship an AI feature | Build a plan to prove it works before you launch |
| 🚀 Plan a launch | De-risk it on the three questions that actually matter |
| 🗣️ Pitch leadership | Tighten the story and pre-empt the hard questions |
| 🛡️ Sanity-check a big call | Run a blind-spot check before you commit |
| 🎯 product-skill | Plain AI chat | PM prompt packs | Paid PM tools | |
|---|---|---|---|---|
| Cost | Free | Free | Free | 💲 Subscription |
| Works in the AI you already use | ✅ | ✅ | ✅ | Sometimes |
| One file, nothing to set up | ✅ | — | Varies | ❌ |
| Gives a recommendation, not a lecture | ✅ | Rarely | Varies | ✅ |
| Built-in blind-spot check | ✅ | ❌ | ❌ | Varies |
| Open — read it, edit it, make it yours | ✅ | ❌ | Often | ❌ |
Is it really free? Yes. No account, no subscription. Open source (CC BY-SA 4.0).
Do I need to install anything? No. It's one file you paste into a chat.
Does it send my data anywhere? No. It's just text instructions for the AI you're already using — your conversation stays wherever you're working.
Which AI is best for it? It's built to work the same way across ChatGPT, Claude, Gemini, and Perplexity. Use whichever you have.
Do I need to be technical? No. If you can copy and paste, you can use it.
Will it replace a PM? No. It's a thinking partner that drafts and pressure-tests — you still make the call.
Can I customize it or add my own frameworks? Yes — it's just a text file. See CONTRIBUTING.md.
License: CC BY-SA 4.0 — reuse and adapt with attribution; share alike.
Every recommendation in the file is grounded in a named, published source cited inline. It synthesizes the work of practitioners and researchers including Marty Cagan, Teresa Torres, Melissa Perri, Shreyas Doshi, Clayton Christensen, April Dunford, Geoffrey Moore, Madhavan Ramanujam, Ronny Kohavi, Lenny Rachitsky, Marily Nika, Hamel Husain & Shreya Shankar, Lafley & Martin, Larry Keeley (Doblin), Wheelwright & Clark, Nicholas Carr, and many more.
🛠️ Building on it, or want to extend it? See CONTRIBUTING.md — how it works, the PRO modules, and how to customize or contribute.
If you build on it, keep the attribution and pass the openness forward. 🎯