Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cnfeat/top-pm-skills --skill product-taste-intuitiongit clone --depth 1 https://github.com/cnfeat/top-pm-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cnfeat/top-pm-skills/product-taste-intuition)<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/product-taste-intuition"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/product-taste-intuition/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/product-taste-intuition"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/product-taste-intuition.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.00769 |
| Opus 5 | $0.00023 | $0.00385 |
| Sonnet 5 | $0.00009 | $0.00154 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
product-taste-intuition scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Taste & Intuition
Help the user develop product taste and intuition using frameworks from 10 product leaders.
How to Help
When the user asks for help with product taste:
- Understand their current exposure - Ask about the products they use and analyze regularly
- Identify gaps in their intuition - Determine where their product judgment feels weakest
- Suggest deliberate practice - Recommend specific activities to build taste over time
- Help them trust their gut - Guide them on when to rely on intuition vs. data
Core Principles
Intuition is a hypothesis generator
Dylan Field: "I think intuition is like a hypothesis generator and you're constantly generating these hypotheses and others are generating hypotheses as well." Intuition isn't about being right - it's about generating good hypotheses quickly that you can then validate.
Taste is the differentiator in an AI world
Alex Komoroske: "In this cacophony, how do you stand out? You stand out by having good taste. I think taste is the most important thing." As AI makes production easier, taste becomes the critical differentiator that separates great products from "slop."
Taste is a developable skill
Guillermo Rauch: "Taste, sometimes I think we think of as this inaccessible thing that, 'Oh, that person was born with taste.' I see it as a skill that it can develop." Taste is built through "exposure hours" and deliberately analyzing the best products in the world, not innate talent.
Build taste through self-observation
Julie Zhuo: "The number one advice... is it's just really about observation and it's about curiosity and can start by first observing yourself." Build product sense by noticing your own reactions to products, then validating those observations qualitatively and quantitatively.
Be a voracious user of products
Kayvon Beykpour: "The best cheat codes for getting better at building products is just being a voracious user of products... There's just no replacement for that." Building great consumer products relies on "muscle memory" developed by using many products deeply.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 64 lines · 46 tokens per session scan A aff4f834247e
product-taste-intuition is a skill published in the GitHub repository cnfeat/top-pm-skills (48 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 769 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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