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效率与协作 · SKILL.md

11-star-framework

11-star-framework

【效率与协作】Rate any product, feature, or experience on the 11-star scale (Brian Chesky's Airbnb thought experiment). Use when user says "rate this experience", "11-star", "star rating", "experience audit", "how good is this", "experience rating", "product audit", "quality assessment", or wants to evaluate product quality and identify improvement paths. Also tri…

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技能说明

GitHub

name: 11-star-framework description: Rate any product, feature, or experience on the 11-star scale (Brian Chesky's Airbnb thought experiment). Use when user says "rate this experience", "11-star", "star rating", "experience audit", "how good is this", "experience rating", "product audit", "quality assessment", or wants to evaluate product quality and identify improvement paths. Also trigger when user wants to benchmark a feature, assess where a product stands, or map out what "great" looks like - even if they don't explicitly say "11-star".

11-Star Experience Framework

Brian Chesky (Airbnb) thought experiment: "What would a 1-star through 11-star experience look like?"

Forces teams to think beyond "good enough" and imagine transformative experiences.

The Scale

Star LevelDefinition
1-starBroken, unusable
2-starBarely functional
3-starMeets basic need
4-starReliable, useful
5-starDelights
6-starMemorable
7-starMagical
8-starPersonalized magic
9-starScience fiction
10-starImpossible today
11-starTransforms the domain

How to Use

Step 1: Rate Your Feature

Describe what each star level looks like for THIS specific feature or product.

Example - E-Commerce Checkout:

StarExperience
1-starPage crashes; payment fails silently; user gives up
3-starCheckout works; basic form fields; no saved payment methods
5-starOne-click checkout; saved cards; instant confirmation with ETA
7-starPredicts what you want before you search; auto-applies best discount; delivery arrives same day
9-starKnows you need something before you do; orders it; perfect every time
11-starCommerce friction doesn't exist - things you need appear when you need them

Step 2: Choose Target

  • Below 5-star: Acceptable for MVP, communicate clearly
  • 5-7 star: Sweet spot for v1 release
  • Above 7-star: Aspirational; roadmap for future

Step 3: Use as Scope Filter

  • "4-star to 5-star?" - Worth it
  • "5-star to 5.2-star?" - Probably not
  • "Gets us to 7-star" - Realistic for current phase?

Common Benchmarks

These benchmarks apply across product categories. Adapt the specific examples to your domain.

Domain3-star5-star7-star
OnboardingBasic docs with commandsGuided walkthrough, validation at each step, troubleshootingInteractive course, adapts to user's level
DocumentationSingle page covering basicsMulti-page docs, examples, architecture guideInline help, contextual guidance, video walkthroughs
Output qualityRaw data dumpRich formatting, severity indicators, actionable next stepsTrend tracking, executive summaries, copy-paste actions
ExtensibilityHardcoded defaultsConfig file, multiple output formatsPlugin system, custom extensions, API access
Trust & safetyNo explanation of what runsPermissions documented, read-only by defaultDry-run default, full audit trail, airgapped mode

Output Format

When rating a project or feature:

Star LevelExperience DescriptionRealistic Now?
1-star[broken version]--
3-star[basic version]--
5-star[delightful version]Yes/No
7-star[magical version]Yes/No
9-star[sci-fi version]No
11-star[transformative version]No

Target Star Level: {N} - {rationale}

Dimension-by-Dimension Rating

For a thorough audit, rate each dimension independently:

DimensionRatingEvidence
OnboardingX.X[specific evidence]
DocumentationX.X[specific evidence]
Output qualityX.X[specific evidence]
Trust & safetyX.X[specific evidence]
ExtensibilityX.X[specific evidence]
Code qualityX.X[specific evidence]

Then identify:

  • Strengths that push above 5-star (numbered list with evidence)
  • Remaining gaps to next star level (table with gap, impact)
  • Path to next star level (prioritized action items)

Anti-Patterns

1. Rating everything 3-star Bad: Defaulting every dimension to "meets basic need" without investigating actual behavior Good: Test the real experience, check edge cases, rate based on evidence not assumptions

2. Skipping dimensions Bad: Rating only the dimensions you feel confident about, ignoring the rest Good: Rate every dimension. Gaps in your knowledge are themselves evidence of a lower rating (if you can't tell, the user probably can't either)

3. Aspirational scoring Bad: "We plan to add X next sprint" bumps the rating from 3 to 5 Good: Rate what exists today. Plans are roadmap items, not current-state evidence

4. Flat improvement list Bad: "Improve onboarding, improve docs, improve output" with no priority Good: Rank by impact - which gap, if closed, moves the overall experience up a full star level?

5. Ignoring the 1-star description Bad: Jumping straight to 5-star and above Good: Describing the 1-star experience grounds the team in what "broken" actually looks like and makes higher ratings more calibrated

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