a demo
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Choose your own adventure to build a Supper Skill.
Some processes you can describe step by step. Others you have to discover by exploring the data first. Supper Skills support both, so you can build a skill the way you'd naturally think through the problem.
If you know what you want, describe it step by step: pull this data, merge it with that source, apply this filter, format the output this way. Supper builds the skill from your description, you test it in the app, and you refine until the output is exactly right.
Pull
churn data from Salesforce · last 30 days
Merge
with product usage from Mixpanel
filter
enterprise accounts only
Save
as skill · test · deploy
If you'd rather explore first, start a conversation with the agent. Ask questions, follow threads, dig into the data. When you've found the analysis that works, save it as a skill - the work you just did becomes a repeatable process you can call on any time.
Explore
ask questions, follow threads, find the analysis
Save
conversation as a named skill
Invoke
any time or schedule it
Call any skill directly from a conversation.
Every skill gets a unique identifier. Type it into any Supper conversation and the skill runs inline, returning results as part of your thread. No switching screens, opening a separate tool, or waiting for a dashboard to load.
Ask a question, pull a skill, keep the conversation going with the results in front of you.
Invoke any skill from the chat interface using its unique identifier
Results returned inline — part of the conversation, not a separate output
Combine skill results with follow-up agent questions in the same thread
Works anywhere Supper is connected, including Claude via MCP
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Schedule it to run. Tell it how to adapt when it does.
Set any skill to run on a cadence and deliver results to email, Slack, or a live Supper dashboard. Add refresh logic to any skill: agentic guidance that adjusts parameters each time it runs. Customer cohort filters that update as your customer base changes. A weekly pipeline report that always reflects this week, not a hardcoded snapshot from when you built it. The skill stays consistent. The parameters stay current.
Schedule on any cadence — time based or event-triggered
Delivery to email, Slack, or live dashboard
Refresh logic: natural-language guidance that adapts parameters at runtime
Moving date windows, dynamic cohort filters, and other agentic adjustments built in
Always runs against live data — no cached exports, no stale number
Automated reports your data team actually trusts.
Every skill runs through the same semantic model and validation pipeline as a live agent question. Your definitions, business logic, and access controls apply whether a human or a scheduler is asking.
If something upstream changes a skill's output, Supper flags it before the next run instead of silently delivering a wrong number. Every run is logged with the query, parameters, and output.
Same accuracy layer as live queries — automated doesn't mean unvalidated
Access controls enforced at query time on every scheduled run
Proactive alerts when upstream data changes affect a skill
Full run history: every execution logged with query, parameters, and output
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1 Step
$100K+
Every run
Pairs well with
Skills are how your team's
analysis becomes infrastructure.
Agent interactions
Ask anything. Get the right answer.
Turn any agent conversation into a recurring report. Schedule it, automate it, and stop asking the same question twice.
dashboards
Live data. Right
definitions.
Take what the agent found and pin it. Live dashboards built from your agent conversations, always querying fresh data.