gpd-research-phase

Research and plan a phase within a finite-capacity causal network.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires cclab_accel, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of researching and planning a specific phase within a complex causal network, ensuring thorough investigation and efficient execution.

Core Features & Use Cases

  • Research Phase: Investigate mathematical methods, physical principles, and computational tools for a given phase.
  • Validate Phase: Ensure phase input is correct and gather necessary context.
  • Spawn Researcher: Initiate a subagent to conduct in-depth research and produce a report.
  • Handle Return: Process the researcher's findings, including handling errors and checkpoints.
  • Plan Phase: Transition from research to planning, if applicable.
  • Use Case: For a scientific project with multiple stages, use this Skill to research the initial phase before planning or revisiting research after planning.

Quick Start

Run the 'gpd-research-phase' command with the specific phase number you wish to research.

Frequently Asked Questions about gpd-research-phase

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

FAQPage Schema
How do I research and plan a phase within a causal network?▼

Researching a phase in a causal network involves validating phase input, gathering context, and spawning a researcher subagent to investigate mathematical methods and physical principles before planning.

What is the process for validating phase input in a finite-capacity causal network?▼

Validating phase input in a finite-capacity causal network ensures the provided phase number is correct and gathers the necessary context to initiate the subsequent research and planning workflow.

Do I need Rust-based execution to compute mathematical physics phases?▼

Yes, researching computational tools and mathematical physics phases in this network requires Rust-based execution and specific project configuration to operate correctly.

How to transition from phase research to project planning after gathering findings?▼

Transitioning from phase research to project planning involves processing the researcher subagent's findings, handling any errors or checkpoints, and then initiating the planning phase if applicable.

Can I use this to investigate computational tools for a specific scientific project phase?▼

Yes, you can investigate computational tools, mathematical methods, and physical principles for a specific scientific project phase by spawning a researcher to produce an in-depth report.

What are the limitations of using a finite-capacity causal network for phase research?▼

Limitations include dependency on Rust-based execution, specific project configuration requirements, and the need to handle potential errors and checkpoints when processing researcher findings within the network.