Skill Claude

Sales Pulse

A Claude skill that connects to your Databox workspace via MCP and analyzes your sales pipeline before it shows you a single chart. Trigger it and it silently pulls 14+ metrics across pipeline, activity, and lead funnel, compares the last four weeks to the four before, correlates the signals, and tells you the 3–4 things that actually need attention — coverage ratio, stage concentration, activity drop-offs, and where leads and deals diverge. Then you choose where to drill deeper.

  • ~5 minutes setup
  • Runs on demand
  • Claude + Databox MCP
sales pulse skill
Built by AI Marketing Automation Labs
AI Marketing Automation Labs builds AI-powered skills and workflows that turn marketing, sales, and content data into clear, actionable analysis. We help teams move from raw dashboards to decisions.
Works with
Claude
Requires
Databox account + Databox MCP
Data source
HubSpot CRM, HubSpot Marketing, Pipedrive CRM, Salesforce CRM
Output
HTML report
Best for
Growth teams, agencies, founders
Setup time
~5 minutes

Most teams review pipeline weekly by staring at a dashboard and eyeballing whether things look okay. Numbers, no interpretation — so a stalling stage or a drop in activity often goes unread until it shows up in the forecast.

This skill flips that. Connect your CRM to Databox, trigger “Run my sales pulse,” and it reads your live pipeline, activity, and lead-funnel data, compares two rolling four-week windows, and runs the cross-checks a sales lead would do by hand: pipeline coverage ratio, stage concentration risk, deal replenishment, week-over-week activity velocity, and the bridge between where leads come from and where deals actually close. It leads with the 3–4 findings ranked by severity, alongside a compact findings card — not a wall of charts.

From there you choose where to go deeper: Pipeline Deep Dive, Activity Pulse, Lead Flow, or Deal Sources. Each is a focused mini-report on just that area, with a full export available if you want the whole thing as HTML, Word, or a Google Doc.

One thing worth knowing: it auto-discovers your CRM’s metric keys, so it works with HubSpot CRM, Salesforce, Pipedrive and others with no configuration. When activity or lifecycle metrics come back empty, it flags the CRM-hygiene gap as a finding instead of hiding it.

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.

Who it's for

  • Heads of growth and operators
    You run the numbers on Monday. This replaces the 20 minutes of tab-switching with a brief that is ready before your standup.
  • Agency analysts
    Run it for each client. Get a consistent read on every account in the time it used to take to review one.
  • Founders doing their own analytics
    You know what your metrics are. This tells you what they mean and what to do about it.

What's in the package

Security scanned Reviewed by Databox
  • sales-pulse-dashboard-setup-guide.pdf MCP connection steps, configuration options, example run
  • sales pulse skill.md

How to use it

  • Download the skill
    Click Get it free above. The skill file downloads to your machine.
  • Install in Claude
    Open Claude Desktop → Settings → Skills → Install from file. Select the downloaded file.
  • 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.
  • 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.

Example prompts you can ask Claude

What you need to run this

Claude

Free to download. Required to install and run skills.

Databox account

The skill connects to your data in Databox. The free plan includes all integrations you need to use this skill.

MCP connection

Connector inside your Claude. Takes less than a minute to set up. Full instructions in the setup guide included in the download.

Don't have Databox yet?

Free to start. Connect your first integration in minutes — no credit card required.

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.

Databox MCP hub connected to OpenAI, Claude, Cursor and n8n — one MCP integration links every AI tool to your live data

Example output

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Common questions

What does Sales Pulse do?

It's a Claude skill that connects to your Databox workspace through MCP and analyzes your sales pipeline before showing you charts. It pulls 14+ CRM metrics across pipeline, activity, and lead funnel, compares two rolling four-week periods, and surfaces the 3–4 findings that matter most — then lets you drill into the areas you care about.

What data sources does it need?

A CRM connected to Databox — HubSpot CRM, Salesforce, Pipedrive, or others. The skill auto-discovers your metric keys, so no configuration is needed. Optionally connect a marketing source (e.g. HubSpot Marketing) to unlock the Lead Flow drill-down

What's in the output?

Analysis first, in plain English, alongside a compact findings card (signal cards, pipeline bar, 8-week activity sparkline, ranked findings). Then you choose drill-downs — Pipeline Deep Dive, Activity Pulse, Lead Flow, Deal Sources — each a focused mini-report, with a full HTML/Word/Google Doc export on request.

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.

Can I use this with the free Databox plan?

Yes — the free Databox plan includes the integration this skill needs, so you can run it at no cost. The skill itself is also free to download.

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.