Skill Detail

Run data-backed business automation with Minds Platform

Connect business data sources to Minds Platform so an agent can search, analyze, and automate recurring operational work with inspectable data grounding.

Data Extraction & TransformationMulti-Framework
Data Extraction & Transformation Multi-Framework Security Reviewed
⭐ 39.2k GitHub stars
COPY SKILL INSTRUCTIONS (OPTIONAL)
npx skills add agentskillexchange/skills --skill run-data-backed-business-automation-with-minds-platform Copy
Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
At a glance
Tools required
Python 3.10+, Docker optional, Minds Platform, connected business data sources
Install & setup
Follow the Minds Platform README for the current deployment path. For source setup, clone https://github.com/mindsdb/minds-platform, install the documented Python runtime, configure approved data-source credentials, and validate the workflow through Minds Query Engine or Minds Anton before handing work to an agent.
Author
MindsDB
Publisher
Organization
Last updated
Jun 4, 2026
Quick brief

Use Minds Platform when an agent needs to operate over business data rather than answer from a detached chat prompt. The workflow is to connect approved structured or unstructured sources, use Minds Query Engine for semantic search over the data, and route repeated reporting, analysis, API, dashboard, or email tasks through Minds Anton where the operator can inspect the generated work. This is not a generic platform listing: keep the scope to governed data-backed automation where source access, retrieval, and repeatable operational outputs matter.

How it works

What this skill actually does

Inputs and prerequisites: Python 3.10+, Docker optional, Minds Platform, connected business data sources.

Setup notes: Follow the Minds Platform README for the current deployment path. For source setup, clone https://github.com/mindsdb/minds-platform, install the documented Python runtime, configure approved data-source credentials, and validate the workflow through Minds Query Engine or Minds Anton before handing work to an agent.

Source and verification boundary: use https://github.com/mindsdb/minds-platform as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.

Framework fit: publish this as a Multi-Framework workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.