gpd-execute-phase

Orchestrate phase plan execution with wave-based parallelization and checkpointing.

1|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/CharlieGreenman/roomtemp-superconductor-gpd --skill gpd-execute-phase
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpd-execute-phase
Source: https://github.com/CharlieGreenman/roomtemp-superconductor-gpd/tree/main/.agents/skills/gpd-execute-phase
Command: npx skills add https://github.com/CharlieGreenman/roomtemp-superconductor-gpd --skill gpd-execute-phase

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates the execution of all plans within a phase by organizing them into waves, enforcing checkpoints, and coordinating subagents to maximize parallelizable work while maintaining guardrails.

Core Features & Use Cases

  • Wave-based phase orchestration: automatically group plans into execution waves based on dependencies and risk.
  • Checkpointing and gates: enforce first-result, verification, and pre-fanout gates to ensure reliability and reproducibility.
  • Context-aware execution: adapt to autonomy and research mode settings, spawning pre-execution agents when needed, and reporting progress in real time.

Quick Start

Run the phase executor to start processing the active phase using wave-based parallelization.

Frequently Asked Questions about gpd-execute-phase

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

FAQPage Schema
How do I run phase plans in parallel with dependency tracking?

Wave-based parallel execution groups phase plans into execution waves using dependency analysis, coordinating subagent spawning to maximize safe parallel work while maintaining guardrails. It automates plan discovery and groups tasks by dependencies and risk.

What is wave-based orchestration for phase execution?

Wave-based orchestration is a parallel execution method that groups phase plans into sequential waves based on dependency analysis and risk, coordinating subagents to execute each wave concurrently while enforcing checkpoints and convention locks.

How do verification gates and checkpoints work during parallel execution?

Verification gates enforce first-result, pre-fanout, and review cadences during parallel execution to ensure reproducible results. Checkpoints validate task completion before subsequent waves execute, maintaining reliability across spawned subagents.

Can I adapt execution flow based on autonomy and research mode settings?

Context-aware execution adapts to autonomy and research mode settings by spawning pre-execution agents when needed, adjusting the orchestration flow and reporting progress in real time to match the configured execution context.

What's the best way to coordinate subagent spawning for parallelizable work?

Automated subagent spawning coordinates parallelizable work by analyzing plan dependencies and grouping tasks into execution waves. This maximizes concurrent processing while enforcing convention locks and verification gates for safe orchestration.

When should I use checkpointed phase orchestration instead of sequential execution?

Use checkpointed phase orchestration when managing complex phase plans with parallelizable dependencies, requiring reproducible results through verification gates, and needing real-time progress reporting across multiple concurrent subagents.