Quick Financial Health Check
A Claude skill that connects to your Databox workspace via MCP and produces a monthly financial review for a services firm — pulling QuickBooks data (connected inside Databox) into a single self-contained HTML dashboard. It compares this month's P&L to the matched prior period and same period last year, projects four weeks of cash flow with stated assumptions, lays out AR/AP aging, and flags customers who were invoiced consistently then went quiet. Its discipline is the point: if a number isn't in the data, it shows a visible gap rather than guessing, and every metric pulled is logged with its sync freshness so you know exactly what the dashboard is built on.
~5 minutes setup
Runs on demand
Claude + Databox MCP
How to use it
Step 1
Download the skill
Click Get it free above. The skill file downloads to your machine.
Step 2
Install in Claude
Open Claude Desktop → Settings → Skills → Install from file. Select the downloaded file.
Step 3
Connect Databox
The skill prompts you to connect your Databox account using the connector. This takes less than a minute, and you'll need a free Databox account.
Step 4
Trigger on demand
Type the trigger phrase in Claude — listed in the setup guide. The skill runs against your live Databox data and returns the output.
Built on Databox
No AI hallucinations. Analysis built on a real context layer.
Ask a generic AI to analyse your business performance and it will give you a confident answer. It will also be working from assumptions.
Generic AI doesn't know how your business defines a qualified lead, what your MRR calculation includes, or how you attribute revenue. It fills those gaps with the most plausible interpretation it can find — which is different from the correct one.
The products here run on Databox's data layer — if you choose so. Your metric definitions, your reporting logic, and your live numbers are what the AI reads, pulled straight through Databox MCP instead of uploaded by hand. That's the difference between an output you can share with your team and one you have to verify before you trust it.
Connect any AI tool to your Databox data with Databox MCP.
Databox MCP is the bridge between your live metrics and any AI — Claude, ChatGPT, Cursor, or any client that speaks MCP. One auth, every workspace, no scraping.
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Common questions
What does the Quick Financial Health Check do?
It's a Claude skill that connects to your Databox workspace through MCP and turns your QuickBooks data into a monthly financial dashboard for a services firm — P&L comparison, four-week cash flow, AR/AP aging, missing-invoice alerts, and a target scorecard. It leads with your stated biggest concern and shows visible gaps wherever data is missing rather than guessing.
What data sources does it need?
QuickBooks Online, connected as a data source inside your Databox account — the skill reads everything through the Databox MCP and never calls QuickBooks directly. It discovers and confirms your exact metric keys at runtime, so it adapts to your account; anything it can't find is reported as a data gap.
What's in the output?
A self-contained, print-friendly HTML dashboard: a Data Source Disclosure Box (every metric pulled, with sync freshness), an optional target scorecard, an executive summary led by your biggest concern, a P&L comparison, a four-week cash flow outlook, AR/AP aging, alerts (missing invoices and material changes), and prioritized next steps. Aggregate AR is reported at the dashboard level, with customer-level detail noted as a limitation.
Do I need a Databox account to use this skill?
Yes, ideally — and here's why it matters. Point a generic AI at a raw data export and it has to guess what your numbers mean: which conversions count, how you define an engaged session, what a "normal" week looks like. It fills those gaps with the most plausible interpretation it can find, which is often not the correct one. The skill avoids that by reading your data live from Databox through MCP, where your metrics are already standardized — one consistent definition for sessions, engagement, and conversions across your setup. The AI reads what's actually true for your business instead of inferring it, so the report is one you can trust rather than verify. You can technically run it against data you've pasted in by hand, but you lose that context layer and the output is only as reliable as the export. If you don't have an account or data source connected yet, the skill walks you through the setup.
Do I need a paid Databox plan to run this skill?
The skill is free to download. Running it requires the Databox MCP connection, which isn't included on the forever free plan. Every new Databox account starts with a 14-day free trial that includes everything the skill needs — after that, any paid plan covers it, including the Analyst plan.
Does this use live data from my connected source?
Yes — every run reads your live data directly from Databox through the MCP connection. The report reflects your current data at the moment you run it, not a cached or uploaded snapshot.
Do I need to export data manually?
No — there are no CSV exports and no copy-paste. The skill pulls your data straight from Databox through MCP each time it runs, so the report is always built from your live source.
Can agencies run this for multiple clients?
Yes — run it against each client's data connected in Databox, one account at a time, and you get the same structured weekly brief for every client. It's built to give a consistent report you can take to each client review.
Can I customize the report?
Yes. Before it runs, the skill asks a few onboarding questions — what you want to measure, the time frame, and any context that matters for the analysis — so the report is shaped to your goals from the start. After a run, you can give it feedback to adjust focus, sections, or anomaly thresholds, and reinstall the updated version so your changes carry into future runs.