# Analytics Instrumentation Review

> Use when reviewing tracking plans, event schemas, analytics instrumentation, funnels, cohorts, experiments, attribution, consent, or downstream metric impact.

- **Type:** Skill
- **Install:** `agentstack add skill-jukrap-ai-agent-playbook-analytics-instrumentation-review`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [jukrap](https://agentstack.voostack.com/s/jukrap)
- **Installs:** 0
- **Category:** [Data & Analytics](https://agentstack.voostack.com/c/data-and-analytics)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [jukrap](https://github.com/jukrap)
- **Source:** https://github.com/jukrap/ai-agent-playbook/tree/main/skills/data/analytics-instrumentation-review
- **Website:** https://www.npmjs.com/package/ai-agent-playbook

## Install

```sh
agentstack add skill-jukrap-ai-agent-playbook-analytics-instrumentation-review
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Analytics Instrumentation Review

Use this as the primary data skill for event tracking, analytics instrumentation, funnels, cohorts, and experiments.

## Workflow

1. Identify business question, event owner, user/account/session grain, event names, properties, identity stitching, and downstream metrics.
2. Check client/server event boundary, retry/dedup behavior, consent/privacy rules, sampling, attribution, offline/mobile behavior, and dashboard consumers.
3. Separate instrumentation correctness from UI state, backend connector, and reporting presentation concerns.
4. Verify with tracking plan, sample payloads, event tests, route/API hints, dashboard impact, and experiment assignment checks when possible.

## Reference

Read `references/event-tracking-plan.md` for event naming, property, identity, consent, and payload checks.

Read `references/funnel-cohort-experiment-checks.md` for funnel, cohort, experiment, attribution, and downstream metric checks.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [jukrap](https://github.com/jukrap)
- **Source:** [jukrap/ai-agent-playbook](https://github.com/jukrap/ai-agent-playbook)
- **License:** MIT
- **Homepage:** https://www.npmjs.com/package/ai-agent-playbook

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-jukrap-ai-agent-playbook-analytics-instrumentation-review
- Seller: https://agentstack.voostack.com/s/jukrap
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.