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investigate-run Skill

AI Agent SkillPythonOpen source

Investigates PhysicsIntern workspace run. Use to understand what went wrong and could be improved in the multi-agent research process. Published by huggingface in physics-intern.

What is investigate-run Skill?

Investigates PhysicsIntern workspace run. Use to understand what went wrong and could be improved in the multi-agent research process. Published by huggingface in physics-intern. 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
40/100

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
  • Data analysis
  • Design and media
  • Writing
  • Research
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use investigate-run Skill

  • Use it for data analysis.
  • Use it for design and media.
  • Use it for writing.
  • Use it for research.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: huggingface
  • Repository: huggingface/physics-intern
  • Skill file: .claude/skills/investigate-run/SKILL.md

What it does

Investigates PhysicsIntern workspace run. Use to understand what went wrong and could be improved in the multi-agent research process.

Skill instructions

Analyze a PhysicsIntern Run Read README.md to understand how the multi-agent research process works. Given a workspace directory (under workspaces/ in the PhysicsIntern project), perform a systematic post-mortem analysis of the run and its failure modes and inefficiencies. The user may provide a folder name or path; if ambiguous, list available workspaces and ask. Check references/ in the project root for a reference document matching the problem. These files describe what a correct answer looks like and what a typical successful run looks like for known problems. Key deliverables: - A list of specific failures, which agent or part of the framework didn't work, when, and why. - A list of insights for improvements in the process design, improved agents (prompt, tools), and scaffold adjustments. Tools For any python code you need to write to analyze the file, use the /tmp folder to write and run temporary files. Do not run directly in the command line. Instead, write a python script that

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Frequently asked questions

What is investigate-run?

investigate-run is a open-source AI agent skill with Copy skill directory. Investigates PhysicsIntern workspace run. Use to understand what went wrong and could be improved in the multi-agent research process.

Who is investigate-run best for?

investigate-run is best for reusing agent instructions, scripts, and references, data analysis workflows, design and media workflows, writing workflows.

How do I install investigate-run?

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

Is investigate-run actively maintained?

investigate-run may need a closer maintenance check before production use.

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Stars
42
Forks
6
Last commit
2 months ago
Repository age
5 months
License
Unknown

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