
Product Analytics Planner
Plans event tracking, funnels, retention cohorts and north star metrics for a product, with PostHog or Mixpanel examples.
- Repository
- sickn33/agentic-awesome-skills
- Stars
- 49,023
- Licence
- MIT
- Files
- 1 file
What it does
Once installed, the agent approaches product analytics with a structured method: it names events in an object_past-verb style, proposes funnels and retention cohorts with explicit windows and denominators, and sketches a north star metric and dashboard. It includes Python examples for sending events to PostHog and for calculating weekly cohort retention and a north star count from a database. The skill is written in Portuguese with English mixed in, and its numbers (funnel rates, retention bands) are labelled as illustrative examples, not market benchmarks.
Great for
- Product managers defining activation events and success metrics
- Developers instrumenting event tracking in a PostHog-based app
- Analysts setting up cohort retention or funnel analysis with clear definitions
Skip it if
- Teams needing real industry benchmarks: the retention and funnel figures are explicitly hypothetical and unsourced
- Projects handling personal data without a consent review: the skill only mentions consent briefly and does not provide legal guidance
Try asking
- “Define an activation event and tracking plan for my onboarding flow”
- “Build a weekly retention cohort analysis from my events table”
- “Draft a north star metric and OKRs for my product”
- “Write PostHog tracking code for a conversation_started event”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
analytics-product.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip analytics-product.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip analytics-product.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Give the agent your real event names and data source so it adapts the example code instead of the illustrative AURI events
- Ask it to state the time zone, analysis unit and consent basis before instrumenting
- Replace the sample retention and funnel targets with baselines from your own mature cohorts
What's inside
- SKILL.md
Redistributed unmodified from sickn33/agentic-awesome-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.