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scientific-problem-selection Skill

AI Agent SkillPythonOpen source

This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate d Published by anthropics in knowledge-work-plugins.

What is scientific-problem-selection Skill?

This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate d Published by anthropics in knowledge-work-plugins. 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
100/100

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
  • Research
  • Research use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use scientific-problem-selection Skill

  • Use it for research.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: anthropics
  • Repository: anthropics/knowledge-work-plugins
  • Skill file: bio-research/skills/scientific-problem-selection/SKILL.md

What it does

This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate d

Skill instructions

Scientific Problem Selection Skills A conversational framework for systematic scientific problem selection based on Fischbach & Walsh's "Problem choice and decision trees in science and engineering" (Cell, 2024). Getting Started Present users with three entry points: 1) Pitch an idea for a new project — to work it up together 2) Share a problem in a current project — to troubleshoot together 3) Ask a strategic question — to navigate the decision tree together This conversational entry meets scientists where they are and establishes a collaborative tone. --- Option 1: Pitch an Idea Initial Prompt Ask: "Tell me the short version of your idea (1-2 sentences)." Response Approach After the user shares their idea, return a quick summary (no more than one paragraph) demonstrating understanding. Note the general area of research and rephrase the idea in a way that highlights its kernel—showing alignment and readiness to dive into details. Follow-up Prompt Then ask for more detail: "Now give me

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Frequently asked questions

What is scientific-problem-selection?

scientific-problem-selection is a open-source AI agent skill with Copy skill directory. This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions.

Who is scientific-problem-selection best for?

scientific-problem-selection is best for reusing agent instructions, scripts, and references, research workflows.

How do I install scientific-problem-selection?

Install or run scientific-problem-selection using Copy skill directory. Check scientific-problem-selection for the latest setup command.

Is scientific-problem-selection actively maintained?

scientific-problem-selection may need a closer maintenance check before production use.

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Stars
22,594
Forks
2,657
Last commit
9 days ago
Repository age
6 months
License
Apache-2.0

Auto-fetched from GitHub.

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