checkout-analysis
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
With your agent
Install OMGSkills skill "noibu/ai-plugin:src/skills/checkout-analysis" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/Noibu/ai-plugin /tmp/ai-plugin && ln -s /tmp/ai-plugin/src/skills/checkout-analysis ~/.claude/skills/checkout-analysisFrom 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.
More from this repo
accessibility-audit
Audit a website for WCAG 2.1 AA accessibility violations using automated scanning and Noibu traffic data, and...
build-business-context
Builds a rich business-context Markdown file (a CLAUDE.md / context.md) so Noibu skills and Claude stop hallucinating...
product-analysis
Used to analyze product and collection performance using Noibu data.