resume

Query the hub API to evaluate lock status and report resume state for in_progress stories.

Updated Apr 7, 2026
One-click install
npx skills add https://github.com/ramontramontini/CTEDemo --skill resume-ramontramontini
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: resume
Source: https://github.com/ramontramontini/CTEDemo/tree/main/.claude/skills/resume
Command: npx skills add https://github.com/ramontramontini/CTEDemo --skill resume-ramontramontini

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Session resume for in_progress stories. Detects active work via board-check, reads execution plan/log from API, reports resume state, and updates the lock. Handles stale locks (>4h auto-takeover) and active lock conflicts.

Core Features & Use Cases

  • Detects active in_progress stories by querying the board state and hub API.
  • Evaluates lock state and enforces lock handoffs, auto-takeover of stale locks, and safe resume decisions.
  • Reads the execution plan and execution log to determine the correct resume point and updates the lock on resume.
  • Provides failure handling guidance for API outages, conflicting locks, and missing execution data.

Quick Start

Identify the active in_progress story and resume from the first incomplete task using the hub API.

Frequently Asked Questions about resume

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

FAQPage Schema
How do I resume in_progress stories after a session interruption?

Session resume for in_progress stories works by querying the hub API to detect active work, evaluating lock status, reading the execution plan and log to find the correct resume point, and updating the lock to proceed safely from the first incomplete task.

What happens when I try to resume a story that has an active lock by a different agent?

Active lock conflicts are handled by enforcing lock handoffs and safe resume decisions. The system detects when a different agent holds an active lock, reports the conflict status, and guides the user to pause rather than overwriting concurrent execution.

How does stale lock takeover work for in_progress story execution?

Stale lock auto-takeover triggers when a lock is older than four hours. The system evaluates lock age during the resume state check, automatically takes over stale locks, and updates the lock so the current agent can proceed with execution.

Can I recover the execution state if the hub API is missing execution data?

Missing execution data triggers failure handling guidance during the resume state report. The system detects missing execution plans or logs from the hub API and provides specific error handling instructions rather than attempting a blind resume.

Do I need a hub API connection to manage story locks and execution logs?

A hub API connection is required to manage story locks and execution logs. The system queries the hub API to read the execution plan and log, evaluate lock status, and update locks when resuming in_progress stories.

What is the best way to handle conflicting lock scenarios when resuming story management tasks?

The best way to handle conflicting lock scenarios is to evaluate lock status via the hub API before proceeding. The system distinguishes between no lock, stale locks older than four hours, and active locks by the same or different agents to guide safe resume decisions.