session-resume

Persist agent progress to JSON and resume from saved checkpoints.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/batuhanysv/sdx-agentic-infraops --skill session-resume-batuhanysv
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: session-resume
Source: https://github.com/batuhanysv/sdx-agentic-infraops/tree/main/.github/skills/session-resume
Command: npx skills add https://github.com/batuhanysv/sdx-agentic-infraops --skill session-resume-batuhanysv

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that agent progress is not lost due to interruptions, allowing for seamless resumption from the last saved checkpoint.

Core Features & Use Cases

  • State Persistence: Saves agent progress to 00-session-state.json.
  • Resumption: Restarts agent execution from the last completed sub-step or step.
  • Concurrency Control: Implements a claim protocol to prevent multiple sessions from writing to the state file simultaneously.
  • Use Case: If an agent run is interrupted mid-task, this Skill allows it to pick up exactly where it left off, preventing wasted computation and ensuring workflow continuity.

Quick Start

Use the session-resume skill to resume the current agent session from its last saved state.

Frequently Asked Questions about session-resume

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

FAQPage Schema
How do I resume an agent workflow from the last checkpoint after an interruption?

To resume an agent workflow, you use a session management protocol that reads the last saved checkpoint from a state file. This restores agent execution from the last completed step, preventing wasted computation.

What is a claim-based locking mechanism for concurrency control in state persistence?

A claim-based locking mechanism for state persistence prevents multiple sessions from writing to the state file simultaneously. It acquires an exclusive claim on the file, ensuring atomic state updates and robust multi-session safety.

Can I use checkpoint recovery for multi-step agent workflows without losing progress?

Yes, checkpoint recovery for multi-step agent workflows saves progress to a state file. If an agent run is interrupted mid-task, it picks up exactly where it left off, ensuring no progress is lost and workflow continuity is maintained.

What's the best way to handle state persistence when running concurrent agent sessions?

The best way to handle state persistence during concurrent agent sessions is using an atomic state file update protocol. This implements a claim-based locking mechanism that prevents simultaneous writes and ensures robust multi-session safety.