aep-watch

Automate ingestion, classification, deduplication, and creation of bug stories from trackers and telemetry.

Updated May 18, 2026
One-click install
npx skills add https://github.com/memorysaver/project-understanding --skill aep-watch
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aep-watch
Source: https://github.com/memorysaver/project-understanding/tree/main/.agents/skills/aep-watch
Command: npx skills add https://github.com/memorysaver/project-understanding --skill aep-watch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires aep-reflect, aep-dispatch, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of continuously monitoring bug trackers, error streams, and telemetry, classifying findings, and automatically creating bug/refinement stories to keep the work backlog up-to-date without manual intervention.

Core Features & Use Cases

  • Continuous Monitoring: Continuously pull new work from configured sources, classify each finding, and deduplicate against existing stories.
  • Automated Story Creation: Automatically create bug/refinement stories in the product backlog based on classified findings.
  • Integration: Works seamlessly with other tools and systems like /aep-envision and /aep-dispatch for a self-feeding loop of work discovery and management.
  • Use Case: For organizations that need to maintain a streamlined product backlog with minimal manual effort and ensure no new issues are missed.

Quick Start

Start the aep-watch skill in the main workspace to automatically monitor new bugs and errors.

Frequently Asked Questions about aep-watch

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

FAQPage Schema
How do I automate bug tracking and error stream monitoring for my product backlog?

You can automate bug tracking by continuously pulling new work from configured sources, classifying findings, and deduplicating against existing stories to automatically create bug and refinement stories for your backlog.

What is the best way to keep my product backlog up-to-date without manual intervention?

The best way to maintain an up-to-date product backlog without manual intervention is to automate the ingestion, classification, and deduplication of findings from bug trackers, error streams, and telemetry sources into new stories.

Can I automatically create bug stories from telemetry and error streams?

Yes, you can automatically create bug and refinement stories from telemetry and error streams by continuously monitoring configured sources, classifying each finding, and deduplicating against existing backlog items.

Do I need specific skills to automate work discovery and backlog management?

Yes, automating work discovery and backlog management requires the aep-reflect skill for classification and the aep-dispatch skill for story dispatch to create a self-feeding loop.

Does automated bug tracking run in any workspace environment?

No, automated bug tracking and error monitoring runs from the main workspace only, ensuring that ingestion, classification, and story creation are centralized and correctly dispatched.