gpd-set-profile

Switch GPD agent research profiles for physics phases.

1|Updated Mar 29, 2026

Search Tags:#data analysis #configuration management #computational physics #GPD #research profiles

Ready to run

npx skills add https://github.com/CharGrnmn/roomtemp-superconductor-gpd --skill gpd-set-profile-chargrnmn

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gpd-set-profile
Source: https://github.com/CharGrnmn/roomtemp-superconductor-gpd/tree/main/.agents/skills/gpd-set-profile
Command: npx skills add https://github.com/CharGrnmn/roomtemp-superconductor-gpd --skill gpd-set-profile-chargrnmn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill allows users to easily switch between different research profiles for GPD agents, optimizing the balance between rigor, depth, and speed in physics research.

Core Features & Use Cases

Profile Switching: Quickly change the research profile for GPD agents to suit various research phases.
Profile Selection: Choose from predefined profiles like 'deep-theory', 'numerical', 'exploratory', 'review', and 'paper-writing'.
Use Case: When working on a complex theoretical derivation, you can switch to the 'deep-theory' profile for rigorous analysis.

Quick Start

Set the research profile to 'numerical' for GPD agents.

Frequently Asked Questions about gpd-set-profile

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

FAQPage Schema

How do I switch research profiles for computational physics agents?▼

Switching research profiles for computational physics agents involves selecting from predefined configurations like 'deep-theory', 'numerical', or 'exploratory' to match your current phase. This balances rigor, depth, and speed for specific research tasks.

Can I use configuration management to customize GPD agent behavior?▼

Configuration management customizes GPD agent behavior by applying different research profiles. You select modes like 'numerical' or 'review' to optimize the agent for specific data analysis, literature review, or paper-writing tasks.

What's the best way to manage research profiles during a literature review?▼

Managing research profiles during a literature review is best handled by switching to the 'review' profile. This optimizes the GPD agent's behavior to match the specific requirements of literature review tasks in physics research.

Does the deep-theory profile support rigorous theoretical derivation analysis?▼

The 'deep-theory' profile supports rigorous theoretical derivation analysis by configuring the GPD agent for in-depth, rigorous examination. This ensures the agent balances depth and precision required for complex physics research.

When do I need to switch research profiles for data analysis tasks?▼

You need to switch research profiles for data analysis tasks when moving between different research phases. Selecting the 'numerical' profile optimizes the GPD agent for computational physics and data analysis requirements.

Why should I use predefined research profiles instead of manual agent configuration?▼

Predefined research profiles like 'exploratory' and 'paper-writing' provide optimized settings for specific research phases. This saves time and ensures the correct balance of rigor, depth, and speed for computational physics tasks.