Skills Marketplace by Databox - Ready-made AI analytics skills for your business data
byโข
A library of ready-made skills for paid ads, website performance, ecommerce, revenue, and more. Each skill pulls from your live performance data and returns a finished, shareable report in under a minute. Run them in Claude when you want answers in chat, or schedule them in n8n to land in Slack or email automatically. Free to download.
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Databox
Big congrats to everyone involved! ๐
One thing I really like about the Skills Marketplace is that it helps at both ends of the experience spectrum.
If you're new to data analysis, you can run a skill and get a well-structured, actionable report in minutes.
If you're an experienced analyst or agency, you can use those same skills as a starting point, customize them to fit your own reporting style, metrics, or workflows, and reuse them across clients.
The fact that the skills are editable instead of being black boxes makes them much more powerful.
Looking forward to seeing what the community builds next! ๐
The problem with most AI analytics outputs is that you have to verify them before you can share them. The AI didn't know your CAC formula, or your attribution window, or what a strong ROAS looks like for your channel mix. So you read the output, fix the framing, check the comparisons. By the end you've done half the work yourself..
Skills Marketplace fixes that by starting from expert framing instead of a blank prompt. The analysis is grounded in how an expert in that channel actually thinks about the work.
The part of this I think is underrated: the skill already knows what questions to ask. Each one carries the judgment of someone who knows the work, which comparisons to run, what to flag, before you've even connected your data. And the workflows take it a step further, the same judgment running on a schedule, landing in Slack or email without anyone triggering it. Absolutely amazing!
Big congrats to the team ๐ช
The thing I keep coming back to with Skills Marketplace is that you don't have to think like a senior analyst to get a useful answer out of it. The skill knows what to ask. Most AI analytics tools skip that part, which is usually why their output needs a cleanup pass before you can actually use it.
Curious to see where this goes, keep it up ๐
The agency use case is the clearest demonstration of the value. Same expert-grade analysis, per client account, on a consistent cycle, without rebuilding the report from scratch each time. Download the skill, run it with Claude on each client's connected Databox data, get the finished output. For recurring reporting across multiple accounts, the time saved isn't incremental. It's the entire assembly step removed. That's the kind of change that actually affects how many accounts a small team can manage.
The RevOps argument for Skills Marketplace is straightforward. You have data in Databox. You have Claude. What you've been missing is the framing that turns a live data connection into a finished analysis. Skills do that. The SEO skill knows which metrics a search lead cares about. The paid ads skill knows how to break out ROAS by campaign before drawing conclusions. That expert judgment is what makes the output usable without a review step. For teams running regular performance reporting, that's the part that matters.
What stands out to me from the CS side is the connection layer. Every skill reads from Databox MCP, not a CSV export or a pasted sample. So it's essentially querying real metric definitions and historical data across 130+ live sources. This matters because it's the difference between a CSM handing a customer a polished-looking summary that falls apart the second they ask a follow-up question. Only summaries where the underlying logic is theirs is the one where they'll draw actual value from.