Today we're introducing Dreambase Skills, a composable layer that bundles your data sources (Supabase tables, Stripe, PostHog, any API or MCP), business logic, and visualization rules into reusable units our agents use to build accurate dashboards and reports. Onboarding scans your database and prepopulates Skills automatically. Coming soon via CLI, API, and MCP so other agents can consume them too.
Hey Product Hunt, Andy here, co-founder of Dreambase.
Today we're launching Dreambase Skills.
A Skill is how you teach Dreambase about your business. Bundle your data, business logic, formatting, and visualization preferences into one reusable unit. Define a "SaaS Subscription Skill" once, and every dashboard, report, and Dreambase agent uses it consistently. No more AI guessing what your data means.
We've been building toward Skills for over a year, and now the industry has coalesced around the concept. Today we're aligning with the standard, with CLI and MCP access coming soon.
Backed by Felicis and a featured Supabase integration. Free to try, no credit card. Would love your feedback!
skills as a composable layer is smart — way better than the agent reverse-engineering your schema every run. how do skills handle changes when someone alters a Supabase table? do they break loud, or silently drift?
The "define once, reuse everywhere" approach to business logic makes a lot of sense - tired of re-explaining what my data means every time I ask an agent to build a report. Using Supabase for auth and data in my own SaaS project, and the gap between raw tables and useful dashboards is real. Does the auto-scan onboarding handle Supabase RLS policies, or does it only look at the schema?
Hey, Eduardo here, founding engineer at Dreambase.
A few things I'm proud of in this release:
Skills aren't a config file. They're a composable unit that bundles connectors (Supabase tables, Stripe, PostHog, any API or MCP), business logic, formatting rules, and viz preferences. Our agents read Skills as context, loads them manually if selected or on demand depending on user intent and also analyze your data schemas live when necessary to see if there are any misalignments or additional considerations, which is why queries actually match how your business works.
Onboarding scans your Supabase schema and auto-generates a starter set of Skills. From there, the Skill Builder is a plain-language wizard that picks the right tables and connectors for whatever you're trying to track.
Soon, Skills will be accessible via CLI and MCP, so other agents and platforms can consume them too. If you're building agentic tooling on top of Supabase data, this is the part I'm most excited about.
Happy to nerd out on the architecture, the agent stack, or how we handle schema drift. Ask me anything.
Analytics without ETL or extra setup sounds great… curious how well it holds up with more complex data.
How accurate is the onboarding scan auto-population feature for a database with unclear or inconsistent table names that don't follow standard SaaS conventions?
We've been working towards Data Agent Skills since we started Dreambase, we knew early on that context and documentation was the key to unlocking accuracy and repeatability, the industry just took a while to coalesce on the right standards and practices.
The hardest problem in AI analytics is not generating a dashboard, it is making sure the AI understands your business well enough to generate the right dashboard, or the right insight, every time, without you explaining your data model on every query.
Skills solve that. Define your business logic once. Every agent, every dashboard, every report uses it consistently from that point forward.
We have been building toward this for over a year. Watching it ship today is one of those moments where the product finally matches the vision we started with. We've got so much more on the way, exposing our agents into your workflows and tools soon!
About Dreambase Data Agent Skills on Product Hunt
“Analytical skills for data agents running on Supabase”
Dreambase Data Agent Skills launched on Product Hunt on April 29th, 2026 and earned 148 upvotes and 13 comments, placing #8 on the daily leaderboard. Today we're introducing Dreambase Skills, a composable layer that bundles your data sources (Supabase tables, Stripe, PostHog, any API or MCP), business logic, and visualization rules into reusable units our agents use to build accurate dashboards and reports. Onboarding scans your database and prepopulates Skills automatically. Coming soon via CLI, API, and MCP so other agents can consume them too.
Dreambase Data Agent Skills was featured in Analytics (171.6k followers), Developer Tools (511.7k followers) and Business Intelligence (3.5k followers) on Product Hunt. Together, these topics include over 82.7k products, making this a competitive space to launch in.
Who hunted Dreambase Data Agent Skills?
Dreambase Data Agent Skills was hunted by Ryan Hoover. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Dreambase Data Agent Skills stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ryan Hoover