Mosaico: Streamline Physical AI
From the repo · “Mosaico - The data platform for Physical AI”
Mosaico provides a data platform for robotics, enabling founders to manage and process data from physical AI and robotics applications
- •When building a robotics application that requires data processing and management
- •When integrating multiple data sources from various robotics sensors and devices
- •When needing to analyze and visualize data from robotics experiments and simulations
mosaico import --format csv data.csv --name my_dataset
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/mosaico && curl -fsSL https://workflowstacks.com/api/skills/mosaico/claude-skill -o ~/.claude/skills/mosaico/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Mosaico: Streamline Physical AI is a very large Python project (~74k lines across 360 code files, plus 151 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/mosaico && curl -fsSL https://workflowstacks.com/api/skills/mosaico/claude-skill -o ~/.claude/skills/mosaico/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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