session-resume

Persist agent progress to 00-session-state.json and resume from checkpoints.

Updated Mar 9, 2026
One-click install
npx skills add https://github.com/pazdedav/my-infraops-project --skill session-resume-pazdedav
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: session-resume
Source: https://github.com/pazdedav/my-infraops-project/tree/main/.github/skills/session-resume
Command: npx skills add https://github.com/pazdedav/my-infraops-project --skill session-resume-pazdedav

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that agent progress is saved and can be reliably resumed after any interruption, preventing data loss and wasted effort in complex workflows.

Core Features & Use Cases

  • State Tracking: Persists agent progress to 00-session-state.json.
  • Resumption Protocol: Enables agents to automatically detect and resume from the last checkpoint.
  • Use Case: If your AI agent working on infrastructure deployment crashes mid-step, this Skill allows it to pick up exactly where it left off without needing to restart the entire process.

Quick Start

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

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 after a crash without losing progress?

State persistence in multi-step agent workflows works by saving progress to a 00-session-state.json file, enabling checkpoint recovery and seamless resumption from the exact step where the interruption occurred.

Can I use checkpoint recovery for infrastructure deployment workflows?

Yes, checkpoint recovery supports infrastructure deployment workflows by persisting state across all agents from 01-Conductor to 08-As-Built, allowing crashed agents to pick up exactly where they left off mid-step.

What is the best way to track state across multiple agents in an orchestrated session?

The best way to track state across orchestrated agents is using a session-state.json schema validation protocol, ensuring consistent progress persistence and workflow recovery across all steps.

How do I set up session management for a multi-step agent workflow?

Session management for multi-step agent workflows is set up by initializing a resume protocol that persists progress to 00-session-state.json, enabling automatic checkpoint detection and recovery across all agents.

When do I need state persistence for agent orchestration?

State persistence for agent orchestration is needed when running complex, multi-step workflows where interruptions could cause data loss, ensuring workflow recovery and preventing wasted effort from restarting entire processes.