Skip to content
Business
Skill

/scientific-problem-selection

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

From plugin
knowledge-work-plugins
35k200 skills5 agents15 commands40 MCP

Claude Code

$ npx -y skills add anthropics/knowledge-work-plugins --skill scientific-problem-selection --agent claude-code

SKILL.md

scientific-problem-selection.SKILL.md
name: scientific-problem-selection
description: 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 decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".

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 a bit more detail. You might include, however briefly or even say where you are unsure: 1. What exactly you want to do 2. How you currently plan to do it 3. If it works, why will it be a big deal 4. What you think are the major risks"

Workflow

From there, guide the user through the early stages of problem selection and evaluation:

  • **Skill 1: Intuition Pumps** - Refine and strengthen the idea
  • **Skill 2: Risk Assessment** - Identify and manage project risks
  • **Skill 3: Optimization Function** - Define success metrics
  • **Skill 4: Parameter Strategy** - Determine what to fix vs. keep flexible

See `references/01-intuition-pumps.md`, `references/02-risk-assessment.md`, `references/03-optimization-function.md`, and `references/04-parameter-strategy.md` for detailed guidance.

---

Option 2: Troubleshoot a Problem

Initial Prompt

Ask: **"Tell me a short version of your problem (1-2 sentences or whatever is easy)."**

Response Approach

After the user shares their problem, return a quick summary (no more than one paragraph) demonstrating understanding. Note the context of the project where the problem occurred and rephrase the problem—highlighting its core essence—so the user knows the situation is understood. Also raise additional questions that seem important to discuss.

Follow-up Prompt

Then ask: "Now give me a bit more detail. You might include, however briefly: 1. The overall goal of your project (if we have not talked about it before) 2. What exactly went wrong 3. Your current ideas for fixing it"

Workflow

From there, guide the user through troubleshooting and decision tree navigation:

  • **Skill 5: Decision Tree Navigation** - Plan decision points and navigate between execution and strategic thinking
  • **Skill 4: Parameter Strategy** - Fix one parameter at a time, let others float
  • **Skill 6: Adversity Response** - Frame problems as opportunities for growth
  • **Skill 7: Problem Inversion** - Strategies for navigating around obstacles

Always include workarounds that might be useful whether or not the problem can be fixed easily.

See `references/05-decision-tree.md`, `references/06-adversity-planning.md`, `references/07-problem-inversion.md`, and `references/04-parameter-strategy.md` for detailed guidance.

---

Option 3: Ask a Strategic Question

Initial Prompt

Ask: **"Tell me the short version of your question (1-2 sentences)."**

Response Approach

After the user shares their question, return a quick summary (no more than one paragraph) demonstrating understanding. Note the broader context and rephrase the question—highlighting its crux—to confirm alignment with their thinking.

Follow-up Prompt

Then ask: "Now give me a bit more detail. You might include, however briefly: 1. The setting (i.e., is this about a current or future project) 2. A bit more detail about what you're thinking"

Workflow

From there, draw on the specific modules from the problem choice framework most appropriate to the question:

  • **Skills 1-4** for future project planning (ideation, risk, optimization, parameters)
  • **Skills 5-7** for current project navigation (decision trees, adversity, inversion)
  • **Skill 8** for communication and synthesis
  • **Skill 9** for comprehensive workflow orchestration

See the complete reference materials in the `references/` folder.

---

Core Framework Concepts

The Central Insight

**Problem Choice >> Execution Quality**

Even brilliant execution of a mediocre problem yields incremental impact. Good execution of an important problem yields substantial impact.

The Time Paradox

Scientists typically spend:

  • **Days** choosing a problem
  • **Years** solving it

This imbalance limits impact. These skills help invest more time choosing wisely.

Evaluation Axes

**For Evaluating Ideas:**

  • **X-axis:** Likelihood of success
  • **Y-axis:** Impact if successful

Skills help move ideas rightward (more feasible) and upward (more impactful).

The Risk Paradox

  • Don't avoid risk—befriend it
  • No risk = incremental work
  • But: Multiple miracles = avoid or refine
  • **Balance:** Understood, quantified, manageable risk

The Parameter Paradox

  • Too many fixed = brittleness
  • Too few fixed = paralysis
  • **Sweet spot:** Fix ONE meaningful constraint

The Adversity Principl

Read more
@anthropics-2
Ships withknowledge-work-plugins

Plugins that turn Claude into a specialist for your role, team, and company. Built for Claude Cowork, also compatible with Claude Code.

35k200 skills5 agents40 MCP
Get the whole plugin

Stars on GitHub

Momentum

stars in total
35.3k
Star history of anthropics/knowledge-work-plugins on GitHub, a chart by star-history.com

Other skills on knowledge-work-plugins.

More skills from other plugins.

opc-asset-ops

opc-asset-ops

Turn repeatable outputs of a one-person company into compounding assets. Use when Codex needs to explain asset-compounding…

@easychen@easychenInstall Skill
dbs

dbs

dontbesilent 商业工具箱的技能调度台,根据当前问题和反馈选择下一步,在对话中直接执行、澄清、组合或对照尝试 Skill。用户不知道从哪里开始、需要调整处理方法、第一次使用…

dbs1d11k
@dontbesilent2025@dontbesilent2025Install Skill
money

money

Main entry point for the Show Me The Money business automation suite. Dual mode: pre-task routing (which skill fits your problem)…

@iamzifei@iamzifeiInstall Skill

Questions about scientific-problem-selection.

Which coding agents can use scientific-problem-selection?
scientific-problem-selection installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.