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computer-scientist

Surveys a domain and prioritizes research problems for execution by Principal Scientist agents.

6|1|Updated Feb 20, 2026
Search Tags:#research#strategy#orchestration#computer science#problem discovery#agenda setting
One-click install
npx skills add https://github.com/aviskaar/open-org --skill computer-scientist
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: computer-scientist
Source: https://github.com/aviskaar/open-org/tree/main/skills/computer-scientist
Command: npx skills add https://github.com/aviskaar/open-org --skill computer-scientist

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps define research agendas by surveying domains, identifying and prioritizing unsolved problems, and commissioning research agents to tackle them.

Core Features & Use Cases

  • Domain Survey: Broadly scans a research field to map the state of the art, open problems, and strategic white space.
  • Problem Formulation: Defines and catalogs potential research problems with clear statements, success criteria, and estimated scope.
  • Prioritization: Scores problems based on impact, novelty, feasibility, strategic fit, and urgency to rank them for research investment.
  • Commissioning: Generates detailed briefs to assign problems to Principal Scientist agents for execution.
  • Oversight & Integration: Monitors active research, integrates findings, and plans subsequent research cycles.
  • Use Case: A research lab wants to explore a new area in AI. The Computer Scientist skill can survey the landscape, identify the most critical unsolved problems, and set up a research plan with clear objectives and assigned agents.

Quick Start

Use the computer-scientist skill to survey the research domain of "large language model interpretability" and identify the top 3 problems worth solving.

Frequently Asked Questions about computer-scientist

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I define a research agenda for a new computer science domain?▼

To define a research agenda, you survey a specified domain to map the state of the art, formulate open problems with clear success criteria, and score them by impact and feasibility. This orchestrates problem discovery and prioritizes research investment.

What is the best way to identify and prioritize unsolved research problems?▼

Prioritizing unsolved research problems involves scoring them based on impact, novelty, feasibility, strategic fit, and urgency. This scoring mechanism ranks potential problems to guide research strategy and investment over multiple cycles.

How do I commission research agents to execute a formulated problem?▼

You commission research agents by generating detailed briefs that assign prioritized problems to Principal Scientist agents for execution. The system monitors active research, integrates findings, and plans subsequent research cycles.

Can I use this to survey the state of the art and map strategic white space?▼

Yes, you can use this to broadly scan a research field for domain surveying. It maps the state of the art, open problems, and strategic white space to maintain a Field Map and Problem Registry for guiding strategy.

Does this research orchestration tool require any specific dependencies or frameworks?▼

No specific dependencies or frameworks are required to use this research orchestration tool. It operates independently to survey domains, formulate problems, and commission Principal Scientist agents.

When do I need to maintain a Field Map and Problem Registry for research strategy?▼

You need to maintain a Field Map and Problem Registry when orchestrating research over multiple cycles. This oversight integrates findings from active research and plans subsequent agendas to guide long-term strategy.

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