Agent skill · Security

lean-analytics

Choose and audit startup metrics using Croll and Yoskovitz''s "Lean Analytics". Use when the user mentions "what metrics should we track", "KPIs", "north star metric", "One Metric That Matters (OMTM)", "vanity metrics", "analytics dashboard", "DAU/MAU", "churn benchmark", or "measure product-market fit". Also trigger when choosing metrics for a startup or feature, auditing a dashboard for vanity metrics, setting metric targets and baselines, or instrumenting a product by business model and stage. Covers good-vs-vanity metrics, the One Metric That Matters, metrics by business model, the five st

wondelaigithub.com/wondelaiGitHub ↗
claude-codeMIT
Install
npx skills add wondelai/skills --skill lean-analytics --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 17 KB
Bundled scripts: none
Version: 1.2.0
Declared author: wondelai
Path: lean-analytics/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,835
Language: Shell
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Lean Analytics A data discipline for startups distilled from Alistair Croll and Benjamin Yoskovitz's *Lean Analytics*: separate metrics that change decisions from numbers that merely flatter, then point the whole company at the One Metric That Matters for your business model and stage. Use it to choose metrics, audit dashboards, set targets, and plan instrumentation. ## Core Principle **Focus on the one metric that matters right now — everything else is noise that feels like progress.** Startups die from lack of focus more often than lack of data. The discipline is knowing your business model, knowing your stage, and tracking the single number that tells you whether the riskiest part of the business is working. A metric earns attention only if it changes what you do next. ## Scoring **Goal: 10/10.** Rate metric choices, dashboards, and instrumentation plans 0-10 against these principles. Report the current score and the specific changes needed to reach 10/10. - **9-10:** One OMTM matched to model and stage, paired counter-metric, a line in the sand with a pre-committed miss response, cohorted and segmented data - **7-8:** Mostly actionable ratios and a plausible OMTM, but no expl

What's inside
Steps it walks through
  1. Core Principle
  2. Scoring
  3. Framework
  4. 1. Good Metrics vs Vanity Metrics
  5. 2. The One Metric That Matters (OMTM)
  6. 3. Metrics by Business Model
  7. 4. Metrics by Stage: The Lean Analytics Stages
  8. 5. Baselines and Lines in the Sand
  9. Common Mistakes
  10. Quick Diagnostic
  11. Further Reading
  12. About the Authors
Ships with 5 files
  • references/business-model-metrics.md
  • references/case-studies.md
  • references/five-stages.md
  • references/good-metrics.md
  • references/omtm.md
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About this skill
What does the lean-analytics skill do?

Choose and audit startup metrics using Croll and Yoskovitz''s "Lean Analytics". Use when the user mentions "what metrics should we track", "KPIs", "north star metric", "One Metric That Matters (OMTM)", "vanity metrics", "analytics dashboard", "DAU/MAU", "churn benchmark", or "measure product-market fit". Also trigger when choosing metrics for a startup or feature, auditing a dashboard for vanity metrics, setting metric targets and baselines, or instrumenting a product by business model and stage. Covers good-vs-vanity metrics, the One Metric That Matters, metrics by business model, the five st

How do I install it?

Run `npx skills add wondelai/skills --skill lean-analytics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From wondelai/skills, a repository with 1,835 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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