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gpd-set-profile

Switch GPD agent research profiles for physics task approaches.

Updated May 1, 2026
Search Tags:#agent behavior#profile switching#GPD#physics research#research profiles
One-click install
npx skills add https://github.com/Unified-Field-Theory-Research/finite-capacity-causal-geometry --skill gpd-set-profile-unified-field-theory-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gpd-set-profile
Source: https://github.com/Unified-Field-Theory-Research/finite-capacity-causal-geometry/tree/main/.agents/skills/gpd-set-profile
Command: npx skills add https://github.com/Unified-Field-Theory-Research/finite-capacity-causal-geometry --skill gpd-set-profile-unified-field-theory-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill allows users to switch research profiles for GPD agents, optimizing their behavior and model selection for different phases of physics research.

Core Features & Use Cases

  • Profile Switching: Select from profiles like 'deep-theory', 'numerical', 'exploratory', 'review', and 'paper-writing' to tailor agent behavior.
  • Agent Behavior Customization: Control how each agent approaches tasks, balancing rigor and depth against speed and breadth.
  • Use Case: When working on a complex theoretical derivation, switch to the 'deep-theory' profile for step-by-step proofs and rigorous analysis.

Quick Start

Switch the GPD agent profile to 'numerical' for computational physics tasks.

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 GPD agent profiles for different physics research tasks?▼

To switch GPD agent profiles, select from options like 'deep-theory', 'numerical', 'exploratory', 'review', or 'paper-writing' to tailor agent behavior and optimize model selection for specific physics research phases.

What research profiles are available for GPD agents?▼

Available GPD agent research profiles include 'deep-theory' for rigorous analysis, 'numerical' for computational tasks, 'exploratory', 'review', and 'paper-writing', each balancing rigor and depth against speed and breadth.

When should I use the deep-theory profile for physics research?▼

Use the deep-theory profile for physics research when working on complex theoretical derivations, as it configures the GPD agent for step-by-step proofs and rigorous analysis instead of prioritizing speed.

Does switching GPD profiles require access to specific configuration files?▼

Yes, switching GPD profiles requires access to GPD configuration and model selection, allowing the profile switching mechanism to effectively optimize agent behavior for your research tasks.

What is the best way to optimize GPD agents for computational physics tasks?▼

The best way to optimize GPD agents for computational physics tasks is switching to the 'numerical' profile, which adjusts the agent's behavior to prioritize computational approaches over theoretical derivation.

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