project-osmos Skill
Project Osmos for Microsoft Fabric. Use for complex, long-running Fabric/OneLake data engineering workflows where the agent should write and run Spark code, transform or modify tables, and produce notebooks or outputs with a long-running autonomous agent. Triggers: "Project Osmos", "Fabric data engineering", "Spark Tra Published by microsoft in project-osmos.
What is project-osmos Skill?
Project Osmos for Microsoft Fabric. Use for complex, long-running Fabric/OneLake data engineering workflows where the agent should write and run Spark code, transform or modify tables, and produce notebooks or outputs with a long-running autonomous agent. Triggers: "Project Osmos", "Fabric data engineering", "Spark Tra Published by microsoft in project-osmos. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Browser automation
- Data analysis
- Writing
- Browser automation use cases
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use project-osmos Skill
- Use it for browser automation.
- Use it for data analysis.
- Use it for writing.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/project-osmos
- Skill file: skills/project-osmos/SKILL.md
What it does
Project Osmos for Microsoft Fabric. Use for complex, long-running Fabric/OneLake data engineering workflows where the agent should write and run Spark code, transform or modify tables, and produce notebooks or outputs with a long-running autonomous agent. Triggers: "Project Osmos", "Fabric data engineering", "Spark Tra
Skill instructions
Project Osmos for Microsoft Fabric Use this skill when the user wants Project Osmos to solve a complex Fabric/OneLake workflow end-to-end: inspect data, write and run Spark, transform or modify tables, produce notebooks or outputs, and keep working through a long-running autonomous agent. Operating contract This file is the lean runtime contract. Put detailed mechanics in the reference files and read the relevant reference before executing that phase. 1. Lakehouse URL first. Ask only for the Fabric Lakehouse browser URL. Parse the workspace ID and default Spark-session Lakehouse ID with URL parsing. Never ask for IDs as separate startup fields. 2. Confirm before API calls. Echo both GUIDs in full. If the URL lacks a Lakehouse ID or uses an unsupported host, ask for a corrected Lakehouse URL. 3. Resolve names. Before seeding the dashboard, resolve workspacename, capacityid (from the API capacityId field), and lakehousename using Authentication and route construction. Surface lookup fail
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Frequently asked questions
What is project-osmos?
project-osmos is a open-source AI agent skill with Copy skill directory. Project Osmos for Microsoft Fabric. Use for complex, long-running Fabric/OneLake data engineering workflows where the agent should write and run Spark code, transform or modify tables, and produce.
Who is project-osmos best for?
project-osmos is best for reusing agent instructions, scripts, and references, browser automation workflows, data analysis workflows, writing workflows.
How do I install project-osmos?
Install or run project-osmos using Copy skill directory. Check project-osmos for the latest setup command.
Is project-osmos actively maintained?
project-osmos may need a closer maintenance check before production use.
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