agentleFS
loulanyueloulanyue/awesome-claude-notes/skills/product-lens/SKILL.md

product-lens

Skill272 starsChanged 7 months agoMITView on GitHub

Like YC office hours but automated. Asks the hard questions: Output: a PRODUCT-BRIEF.md with answers, risks, and a go/no-go recommendation. Reviews your current project through a founder lens: Maps the actual user experience: When you have 10 ideas and need to pick 2: All modes output actionable docs, not essays. Every recommendation has a specific next step. Pair with: - /browser-qa to verify the user journey audit findings - /design-system audit for visual polish assessment - /canary-watch for post-launch monitoring

We split this skill into the rules it gives an agent

6 rules. 5 are common, 1 is distinctive, and 0 are very specific to this project.

  • 5

    Common

    Most of the 7 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Common:

    Before starting any feature — validate the "why"

    line 5
  2. Common:

    When stuck choosing between features

    line 7
  3. Common:

    Before a launch — sanity check the user journey

    line 8
  4. Distinctive:

    When converting a vague idea into a spec

    line 9
  5. Common:

    When you have 10 ideas and need to pick 2:

    line 60
  6. Common:

    All modes output actionable docs, not essays.

    line 72

“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

Download now (ZIP)

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

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