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msresearch-aurora Skill

AI Agent SkillPythonOpen source

Aurora — Microsoft's foundation model for the Earth system. Use this skill for both inference (regional weather/climate forecasting, Norway example, ERA5/CDS data, wind/temperature/pressure mapping) and fine-tuning Aurora on new variables, regions, or domains (training, evaluation, checkpoint extension, gradient/loss d Published by microsoft in vibe-kit.

What is msresearch-aurora Skill?

Aurora — Microsoft's foundation model for the Earth system. Use this skill for both inference (regional weather/climate forecasting, Norway example, ERA5/CDS data, wind/temperature/pressure mapping) and fine-tuning Aurora on new variables, regions, or domains (training, evaluation, checkpoint extension, gradient/loss d Published by microsoft in vibe-kit. 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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
37/100

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
  • Documentation
  • Data analysis
  • Documentation use cases
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use msresearch-aurora Skill

  • Use it for documentation.
  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/vibe-kit
  • Skill file: skills/msresearch-aurora/SKILL.md

What it does

Aurora — Microsoft's foundation model for the Earth system. Use this skill for both inference (regional weather/climate forecasting, Norway example, ERA5/CDS data, wind/temperature/pressure mapping) and fine-tuning Aurora on new variables, regions, or domains (training, evaluation, checkpoint extension, gradient/loss d

Skill instructions

Choosing the right path Before diving in, identify what the user is actually trying to do. Three buckets: 1. "I want to actually use Aurora for my problem" (custom variables, regional adaptation, domain-specific predictions) → fine-tuning path. This is the recommended path for serious applications. - Route: docs/about-finetune.md → docs/quick-start-finetune.md → docs/finetuning-guide.md. 2. "I'm exploring / just curious / want to see Aurora work" → inference path (Norway regional example with frontend visualization). Lower commitment, no GPU required. - Route: docs/about-aurora.md → docs/quick-start-inference.md → docs/customization-guide.md for adapting to a new region. 3. "Not sure / want to see Aurora in action first" → route by audience: - Non-technical audience (execs, PMs, general scientists): start with the Norway Prototype (docs/quick-start-inference.md) — visual maps over a real region, intuitive at a glance. - Weather/climate practitioners (familiar with NWP, ERA5, model eval

Explore related resources

Frequently asked questions

What is msresearch-aurora?

msresearch-aurora is a open-source AI agent skill with Copy skill directory. Aurora — Microsoft's foundation model for the Earth system. Use this skill for both inference (regional weather/climate forecasting, Norway example, ERA5/CDS data, wind/temperature/pressure mapping).

Who is msresearch-aurora best for?

msresearch-aurora is best for reusing agent instructions, scripts, and references, documentation workflows, data analysis workflows.

How do I install msresearch-aurora?

Install or run msresearch-aurora using Copy skill directory. Check msresearch-aurora for the latest setup command.

Is msresearch-aurora actively maintained?

msresearch-aurora may need a closer maintenance check before production use.

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Forks
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Last commit
2 months ago
Repository age
8 months
License
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