gsd-resume-work

Restore project state and detect checkpoints to resume interrupted work sessions.

Updated Aug 15, 2025
One-click install
npx skills add https://github.com/gesmith0606/nfl_data_engineering --skill gsd-resume-work-gesmith0606
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-resume-work
Source: https://github.com/gesmith0606/nfl_data_engineering/tree/main/.claude/skills/gsd-resume-work
Command: npx skills add https://github.com/gesmith0606/nfl_data_engineering --skill gsd-resume-work-gesmith0606

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Restore complete project context and resume work from a previous session without manual reconstruction by loading or rebuilding STATE.md, locating checkpoints such as .continue-here, detecting incomplete plans, and routing to the appropriate next action.

Core Features & Use Cases

  • State restoration: Load STATE.md or reconstruct it from repository artifacts and metadata to recreate project context.
  • Checkpoint and incomplete-work detection: Detect .continue-here markers, PLAN without SUMMARY, and other session checkpoints to identify where work stopped.
  • Context-aware routing: Present a concise status summary and recommend context-sensitive next steps by consulting CONTEXT.md and the resume-project workflow.
  • Use Case: When returning to a paused data engineering or software project, recover the last-known state, highlight unfinished tasks, and continue with an actionable next command.

Quick Start

Resume the project session and restore STATE.md, detect checkpoints, and recommend the next action.

Frequently Asked Questions about gsd-resume-work

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

FAQPage Schema
How do I restore project context and resume an interrupted development session?

To restore project context and resume an interrupted session, the Skill loads or reconstructs STATE.md from repository artifacts to recreate your previous working state. It then detects checkpoints and routes you to context-aware next steps for immediate continuation.

What is the best way to detect incomplete plans and checkpoints when returning to a paused project?

Detecting incomplete plans and checkpoints involves locating .continue-here markers and identifying PLAN files without matching SUMMARY entries. The Skill scans your project directory for these session checkpoints to pinpoint exactly where your previous data engineering or development work stopped.

Does session recovery work with local repository-based data engineering workflows?

Yes, session recovery applies to both local and repository-based data engineering workflows. It requires read and write access to your project directory to load STATE.md, detect session checkpoints, and integrate with the resume-project workflow to reconstruct your working context.

How do I use CONTEXT.md and STATE.md to get context-aware next steps for my project?

Using CONTEXT.md and STATE.md, the Skill presents a concise status summary by consulting the resume-project workflow. It analyzes your restored state and detected checkpoints to recommend actionable, context-sensitive next commands for your stalled software engineering project.

Why does my project session recovery fail to find where my previous work stopped?

Session recovery fails to find where work stopped if STATE.md cannot be reconstructed or if .continue-here checkpoints are missing from the project directory. Ensure your repository artifacts contain valid session plans and metadata for the state restoration process to succeed.