product-metrics
View key product metrics, KPIs, and conversion rates from PostHog
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/product-metrics/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How product-metrics Compares
| Feature / Agent | product-metrics | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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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