What dependencies does this skill require?

It relies on the GitHub CLI (gh) for issue management and integrates with imbue:evidence-logging for capturing execution data.

Does it automatically create issues on GitHub?

While it can be configured for automatic creation, the default behavior requires user approval to ensure only relevant issues are added to your repository.

How does Workflow Monitor detect inefficiencies?

It analyzes execution patterns such as redundant file reads, excessive command output, and sequential tasks that could be parallelized to provide an efficiency score.

How does it handle duplicate issues?

The skill includes logic to search existing GitHub issues for similar patterns before generating a new one, preventing repository clutter.

Can I set custom thresholds for error reporting?

Yes, you can define severity thresholds and efficiency limits in a .workflow-monitor.yaml configuration file to filter the noise.

Workflow Monitor

Name: Workflow Monitor
Author: athola

byathola

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123

Analytics & Monitoring

Monitors execution workflows for errors and inefficiencies to automatically generate actionable GitHub issues for improvements.

About

Workflow Monitor is a specialized utility for Claude Code designed to facilitate continuous improvement of development processes by systematically identifying failures and sub-optimal execution patterns. It hooks into workflow sessions to detect command failures, timeouts, and redundant operations, providing detailed efficiency scores and evidence-backed reports. By automatically translating these findings into structured GitHub issues via the GitHub CLI, it bridges the gap between identifying a friction point and initiating its resolution, making it an essential tool for developers optimizing long-running automation scripts and complex CI/CD pipelines.

Key Features

Built-in duplicate detection logic to prevent redundant issue reporting
Automated error detection for command failures, timeouts, and retry loops
123 GitHub stars
Seamless GitHub integration for automated issue creation with linked evidence
Customizable detection thresholds for severity and efficiency scoring
Deep efficiency analysis identifying redundant file reads and parallelization opportunities

Use Cases

Systematically tracking technical debt by converting workflow inefficiencies into actionable GitHub issues
Debugging complex automation workflows that suffer from intermittent failures or timeouts
Optimizing internal development scripts by identifying redundant operations and verbose outputs

About

Key Features

Built-in duplicate detection logic to prevent redundant issue reporting
Automated error detection for command failures, timeouts, and retry loops
123 GitHub stars
Seamless GitHub integration for automated issue creation with linked evidence
Customizable detection thresholds for severity and efficiency scoring
Deep efficiency analysis identifying redundant file reads and parallelization opportunities

Use Cases

Systematically tracking technical debt by converting workflow inefficiencies into actionable GitHub issues
Debugging complex automation workflows that suffer from intermittent failures or timeouts
Optimizing internal development scripts by identifying redundant operations and verbose outputs