product-metrics

View key product metrics, KPIs, and conversion rates from PostHog

9 stars

Best use case

product-metrics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

View key product metrics, KPIs, and conversion rates from PostHog

Teams using product-metrics should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/product-metrics/SKILL.md --create-dirs "https://raw.githubusercontent.com/coalesce-labs/catalyst/main/plugins/analytics/skills/product-metrics/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/product-metrics/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How product-metrics Compares

Feature / Agentproduct-metricsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

View key product metrics, KPIs, and conversion rates from PostHog

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Product Metrics Dashboard

Query PostHog for key product metrics, KPIs, and performance indicators.

## Usage

```bash
/product-metrics [metric-type] [time-range]

Examples:
  /product-metrics "overall KPIs last 30 days"
  /product-metrics "conversion rates this quarter"
  /product-metrics "feature usage breakdown this week"
```

## Available Metrics

### Conversion Metrics

- Signup conversion rate
- Trial to paid conversion
- Checkout completion rate
- Feature activation rate

### Engagement Metrics

- Daily/Weekly/Monthly Active Users (DAU/WAU/MAU)
- Session duration
- Feature usage frequency
- User retention rates

### Business Metrics

- Revenue per user
- Customer acquisition cost
- Lifetime value
- Churn rate

### Feature Metrics

- Feature adoption rate
- Time to first use
- Feature retention
- Power user identification

## Example Queries

### Overall Dashboard

```bash
/product-metrics "Show me our key metrics for last month: MAU, conversion rates, and top features"
```

### Conversion Funnel

```bash
/product-metrics "Breakdown of our signup to paid funnel with drop-off rates at each step"
```

### Feature Performance

```bash
/product-metrics "Compare usage of our top 5 features over the last quarter"
```

### Cohort Performance

```bash
/product-metrics "How do our December signups compare to November in terms of activation and retention?"
```

## Output Format

Results typically include:

- **Metric values** with trend indicators (↑↓)
- **Comparisons** to previous periods
- **Breakdowns** by segment when relevant
- **Top performers** and bottom performers
- **Recommendations** based on data

## Time Range Options

- `today`, `yesterday`
- `last 7 days`, `last 30 days`, `last 90 days`
- `this week`, `last week`
- `this month`, `last month`, `this quarter`
- Custom: `2024-01-01 to 2024-03-31`

## Segmentation

Add segmentation to any query:

```bash
/product-metrics "MAU by country"
/product-metrics "conversion rates by traffic source"
/product-metrics "feature usage by plan type"
```

## Context Management

This plugin consumes ~40k tokens. Disable after viewing metrics:

```bash
/plugin disable catalyst-analytics
```

---

**See also**: `/catalyst-analytics:analyze-user-behavior`, `/catalyst-analytics:segment-analysis`

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