Your best analyst doesn't just answer questions. They know which ones to ask, in what order, and what to do with the results. That expertise is what turns analytics into real decisions — and until now, it lived entirely in your team's heads.

Over the past year, we've built a context engineering layer that helps agents understand what your data means and how to query your database effectively. But the the way in which the agent approach a problem — decided the types of analyses to conduct or the way to summarize the results  — remained dependent on the precision of the prompt.

Today we're launching Skills, repeatable workflows that let data product teams encode how their best analysts approach a problem, so any user can run them the moment they log in.

Skills across the data product lifecycle

Context teaches the agent what your data means. Skills teach it what to do with it. Together, they show up at every stage — from internal operations to customer expansion.

• Your team monitors data quality without the engineering team. A product manager needs to check data quality before a client meeting. They type /run data quality check and the agent works through freshness, completeness, and anomaly detection in sequence — using the context layer's knowledge of expected ranges and table relationships to flag real issues, not noise. The output is a structured report they can share directly. No SQL. No filing a ticket.‍
• Your sales team walks into every meeting prepared. A rep has a call with a prospect in 30 minutes. They type /prep Acme Corp and the agent researches the company, identifies the industry, and runs a tailored report — surfacing relevant use cases, pre-built analyses, and talking points the rep can walk through live. What used to take an hour of manual research happens before the coffee is ready.‍
• Your prospect gets to insight before the trial is over. You hand off a trial workspace. The prospect asks "What can you tell me about my ICP?" and uploads a CSV. The agent automatically invokes an enrichment skill — running Python that enriches the dataset against your data product and returns a structured report. No configuration. No waiting on your team. The prospect sees the value of your data on their terms, with their data, in their first session.‍
• Your customer builds skills of their own — and never leaves. Once they're live, your customer wants to encode their own workflows. You work together to build custom skills tailored to how their team operates — their analyses, their reporting cadence, their domain logic. Every skill they build makes your platform more embedded in how they work. The product gets stickier with every workflow they add.

From insight to trust

Skills accelerate time-to-insight. But time-to-insight only matters if users trust the answers they're receiving enough to make decisions against them.

That's why we're launching Data Apps in the coming weeks — a way for teams to codify specific analyses into dashboard-like experiences that can be saved, shared, and monitored over time. Your sales team saves a competitive landscape analysis as a living dashboard they revisit before every meeting. Your customer saves a weekly coverage report they share with leadership. Repeated interactions build trust in the data — and that trust is what unlocks bigger decisions against it.

Skills are available today for all Bobsled AI customers. Get in touch to see them in action with your data.