How do I install the Product Lens skill?

Run npx skillmds@latest add jantoniofc/product-lens in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Product Lens safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Product Lens?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Product Lens free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Product Lens?

JantonioFC (@jantoniofc) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Product Lens by jantoniofc — Agent Skill

Name: Product Lens
Rating: 4.2 (5 reviews)
Author: JantonioFC

Product Lens

- Before starting any feature — validate the "why" - Weekly product review — are we building the right thing? - When stuck choosing between features - Before a launch — sanity check the user journey - When converting a vague idea into a spec

JantonioFC Updated Sep 8, 2026 6 repo stars

File contents

Product Lens — Think Before You Build

When to Use

Before starting any feature — validate the "why"
Weekly product review — are we building the right thing?
When stuck choosing between features
Before a launch — sanity check the user journey
When converting a vague idea into a spec

How It Works

Mode 1: Product Diagnostic

Like YC office hours but automated. Asks the hard questions:

1. Who is this for? (specific person, not "developers")
2. What's the pain? (quantify: how often, how bad, what do they do today?)
3. Why now? (what changed that makes this possible/necessary?)
4. What's the 10-star version? (if money/time were unlimited)
5. What's the MVP? (smallest thing that proves the thesis)
6. What's the anti-goal? (what are you explicitly NOT building?)
7. How do you know it's working? (metric, not vibes)

Output: a PRODUCT-BRIEF.md with answers, risks, and a go/no-go recommendation.

Mode 2: Founder Review

Reviews your current project through a founder lens:

1. Read README, CLAUDE.md, package.json, recent commits
2. Infer: what is this trying to be?
3. Score: product-market fit signals (0-10)
   - Usage growth trajectory
   - Retention indicators (repeat contributors, return users)
   - Revenue signals (pricing page, billing code, Stripe integration)
   - Competitive moat (what's hard to copy?)
4. Identify: the one thing that would 10x this
5. Flag: things you're building that don't matter

Mode 3: User Journey Audit

Maps the actual user experience:

1. Clone/install the product as a new user
2. Document every friction point (confusing steps, errors, missing docs)
3. Time each step
4. Compare to competitor onboarding
5. Score: time-to-value (how long until the user gets their first win?)
6. Recommend: top 3 fixes for onboarding

Mode 4: Feature Prioritization

When you have 10 ideas and need to pick 2:

1. List all candidate features
2. Score each on: impact (1-5) × confidence (1-5) ÷ effort (1-5)
3. Rank by ICE score
4. Apply constraints: runway, team size, dependencies
5. Output: prioritized roadmap with rationale

Output

All modes output actionable docs, not essays. Every recommendation has a specific next step.

Integration

Pair with:

/browser-qa to verify the user journey audit findings
/design-system audit for visual polish assessment
/canary-watch for post-launch monitoring

---name: product-lensdescription: - Before starting any feature — validate the "why" - Weekly product review — are we building the right thing? - When stuck choosing between features - Before a launch — sanity check the user journey - When converting a vague idea into a speclicense: MIT---# Product Lens — Think Before You Build## When to Use- Before starting any feature — validate the "why"- Weekly product review — are we building the right thing?- When stuck choosing between features- Before a launch — sanity check the user journey- When converting a vague idea into a spec## How It Works### Mode 1: Product DiagnosticLike YC office hours but automated. Asks the hard questions:```1. Who is this for? (specific person, not "developers")2. What's the pain? (quantify: how often, how bad, what do they do today?)3. Why now? (what changed that makes this possible/necessary?)4. What's the 10-star version? (if money/time were unlimited)5. What's the MVP? (smallest thing that proves the thesis)6. What's the anti-goal? (what are you explicitly NOT building?)7. How do you know it's working? (metric, not vibes)```Output: a `PRODUCT-BRIEF.md` with answers, risks, and a go/no-go recommendation.### Mode 2: Founder ReviewReviews your current project through a founder lens:```1. Read README, CLAUDE.md, package.json, recent commits2. Infer: what is this trying to be?3. Score: product-market fit signals (0-10) - Usage growth trajectory - Retention indicators (repeat contributors, return users) - Revenue signals (pricing page, billing code, Stripe integration) - Competitive moat (what's hard to copy?)4. Identify: the one thing that would 10x this5. Flag: things you're building that don't matter```### Mode 3: User Journey AuditMaps the actual user experience:```1. Clone/install the product as a new user2. Document every friction point (confusing steps, errors, missing docs)3. Time each step4. Compare to competitor onboarding5. Score: time-to-value (how long until the user gets their first win?)6. Recommend: top 3 fixes for onboarding```### Mode 4: Feature PrioritizationWhen you have 10 ideas and need to pick 2:```1. List all candidate features2. Score each on: impact (1-5) × confidence (1-5) ÷ effort (1-5)3. Rank by ICE score4. Apply constraints: runway, team size, dependencies5. Output: prioritized roadmap with rationale```## OutputAll modes output actionable docs, not essays. Every recommendation has a specific next step.## IntegrationPair with:- `/browser-qa` to verify the user journey audit findings- `/design-system audit` for visual polish assessment- `/canary-watch` for post-launch monitoring

Frequently asked questions