# checkout-analysis

> Claude/Codex skill by [@noibu](https://omgskills.com/library/noibu/index.md) · 5 stars · Updated 2026-10-22

Analyze checkout performance and health using Noibu data. Use when you want to know where shoppers drop off in the checkout funnel, what payment or delivery methods customers are using, why completion rates are low, what priority errors are hurting checkout, or how cart and order values benchmark.

## Install

```sh
git clone https://github.com/Noibu/ai-plugin /tmp/ai-plugin && ln -s /tmp/ai-plugin/src/skills/checkout-analysis ~/.claude/skills/checkout-analysis
```

## From README

Noibu Checkout Performance & Health Analysis Surfaces where shoppers drop off in checkout and what to do about it, as a ranked triage board built from Noibu session, value, and error data. Call metadata: on every noibu call this skill drives, pass skill: "checkout-analysis" and a short skillStep (see the querying-noibu-data skill). How it works Run , then pick one of two behaviors from the user's prompt: Quick answer (one focused question) → run 1–2 queries, answer directly, offer to go deeper. Full analysis (broad request, bare invocation, or "yes" to the offer) → the four-step workflow below. Full analysis flow: (1) broad overview (Q1–Q7, plus Q1b when available, current + prior window) → (2) cross-reference + period-over-period → (3) pick the top 3 regressions → (4) run targeted follow-ups → render the board (one widget). Signals are flagged on change vs the prior window, not absolute level — see references/queries.md "Signal model". — before any query Work quietly.

## Links

- HTML page: https://omgskills.com/library/noibu/ai-plugin/src/skills/checkout-analysis/
- GitHub: https://github.com/Noibu/ai-plugin
- Author: [@noibu](https://omgskills.com/library/noibu/index.md)

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