Which error types can this skill categorize?

The skill natively supports TIMEOUT, CRASH, VALIDATION, COORDINATION, and UNKNOWN error types, each with its own standardized format and potential recovery strategy.

Are there specific system dependencies for this skill?

Yes, it requires Bash 4.0+ and jq for JSON processing. While the core is Bash-based, the logging module also includes an optional TypeScript implementation requiring Node.js.

What is a Mega-Skill in the context of CFN?

A Mega-Skill is a consolidated package that combines multiple specialized sub-skills—in this case, error capture, batching, and logging—into a single, unified directory structure for easier management.

How does the batching module improve agent efficiency?

The batching module clusters similar errors by file and calculates execution 'waves,' allowing multiple errors to be fixed in parallel batches rather than one by one, significantly reducing processing time.

CFN Error & Batch Management

Name: CFN Error & Batch Management
Author: masharratt

bymasharratt

•

Analytics & Monitoring

Automates error capture, intelligent batching, and structured logging to streamline AI agent recovery and orchestration.

CFN Error Management is a comprehensive 'mega-skill' designed for the Claude Flow Novice ecosystem that consolidates error handling into a single, unified workflow. It enables developers to capture and categorize agent failures such as timeouts and crashes, cluster those errors into batches for efficient parallel processing, and maintain structured logs with automated cleanup. This skill is essential for building resilient AI agentic loops where tracking, analyzing, and recovering from multiple asynchronous failures is critical to project success.

Key Features

0113 GitHub stars

02Standardized error capture with categorization for TIMEOUT, CRASH, and VALIDATION errors

03Structured logging with built-in log rotation and cleanup utilities

04Category-based recovery strategies to preserve context during agent failures

05Intelligent error batching by file clustering and wave calculation for parallel processing

06Unified CLI wrappers for seamless integration into existing shell scripts

Use Cases

01Batching multiple validation errors for consolidated processing by a repair agent

02Managing high-volume agent execution failures in complex autonomous workflows

03Maintaining auditable error logs for long-running AI orchestration tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add masharratt/claude-flow-novice cfn-error-management

For use in Claude.ai and ChatGPT

Download Skill