gpd-resume-work

Restore research context from STATE.md, DERIVATION-STATE.md, PROJECT.md, and execution snapshots.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables seamless resumption of long-running research projects by restoring full context from previous sessions, including derivation history, parameter states, and execution checkpoints.

Core Features & Use Cases

  • Context restoration: Rebuilds STATE.md, PROJECT.md, DERIVATION-STATE.md, and active execution snapshots to reestablish continuity.
  • Checkpoint-aware planning: Detects incomplete plans, interrupted agents, and live gates to determine the next actionable steps.
  • Session continuity: Updates and synchronizes session state with the GPD CLI to prevent loss of progress between sessions.
  • Use Case: A multi-phase computational project can be resumed after a pause, with all previous decisions, results, and next actions visible in one place.

Quick Start

Ask the system to resume from the last session to restore context and continue the work.

Frequently Asked Questions about gpd-resume-work

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

FAQPage Schema
How do I resume a long-running research project across sessions?▼

To resume a long-running research project across sessions, this Skill restores full context from STATE.md, PROJECT.md, and DERIVATION-STATE.md to reestablish continuity and surface the next actions. It detects incomplete plans and interrupted agents to determine exactly where work left off.

How does context restoration work for interrupted research agents?▼

Context restoration works by rebuilding active execution snapshots and derivation history from previous sessions. It detects incomplete plans, interrupted agents, and live gates to determine the next actionable steps, synchronizing updates with the GPD CLI to prevent loss of progress.

Do I need ROADMAP.md and STATE.md files to restore session state?▼

Yes, restoring session state satisfies dependencies on ROADMAP.md and STATE.md files. The Skill requires these files to coordinate updates via the GPD CLI, ensuring that parameter states and execution checkpoints are accurately rebuilt before continuing work.

Can I use checkpoint-aware planning for multi-phase computational projects?▼

Yes, you can use checkpoint-aware planning for multi-phase computational projects. The Skill detects incomplete plans and live gates to determine the next actionable steps, allowing a paused project to resume with all previous decisions, results, and next actions visible.

What is the best way to manage state and prevent progress loss between research sessions?▼

The best way to manage state and prevent progress loss is by synchronizing session state with the GPD CLI. The Skill updates and coordinates session continuity by leveraging STATE.md and DERIVATION-STATE.md, capturing previous decisions and results in one place for seamless continuation.