surge-core

Detect, diagnose, and correct runtime failures in multi-skill workflows.

Updated Mar 19, 2026
One-click install
npx skills add https://github.com/allinerosamkup-ai/skills-for-dummies --skill surge-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: surge-core
Source: https://github.com/allinerosamkup-ai/skills-for-dummies/tree/main/surge-core
Command: npx skills add https://github.com/allinerosamkup-ai/skills-for-dummies --skill surge-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Surge-core provides automatic detection, diagnosis, and correction of runtime failures across multi-skill workflows, reducing manual debugging and downtime.

Core Features & Use Cases

  • Autonomous fault detection and diagnosis across the skill lifecycle.
  • Automated correction with iterative verification and safe escalation paths (ConnectPro, engineering-mentor, or skill4d-core-orchestrator).
  • DAG recovery and state logging to unblock workflows and reuse fixes.

Quick Start

Describe a failure scenario to trigger Surge Core's autonomous diagnostic loop and auto-correction.

Frequently Asked Questions about surge-core

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

FAQPage Schema
How do I automate debugging and correction for runtime failures in multi-skill workflows?

Automating debugging and correction for runtime failures is achieved through a deterministic loop of signals collection, root-cause analysis, corrective action, verification, and reusable pattern logging to prevent recurrence across workflows.

What is autonomous fault diagnosis and how does it handle startup and build failures?

Autonomous fault diagnosis automatically detects, analyzes, and corrects runtime failures. It addresses startup and build failures, blank pages, and blockers by collecting signals, analyzing root causes, and applying verified corrective actions iteratively.

Can I use an autonomous orchestrator to unblock workflows and recover DAG state after repeated errors?

Yes, you can use an autonomous orchestrator to unblock workflows and recover DAG state after repeated errors. It logs state, applies corrective actions, and safely escalates unresolvable blockers to engineering-mentor or the core orchestrator when necessary.

Does automated error-correction work without manual intervention for blank pages and runtime blockers?

Automated error-correction works autonomously to resolve blank pages and runtime blockers without manual intervention. It enforces a continuous loop of fault detection, diagnosis, iterative correction, and verification before logging reusable patterns.

What are the limitations of autonomous fault diagnosis when handling repeated errors in a workflow?

The limitation of autonomous fault diagnosis is that when repeated errors cannot be resolved internally, the system must escalate. It stops autonomous correction and escalates the blocker to ConnectPro, engineering-mentor, or the core orchestrator.