Identify Equipment Manager errors from Datadog and summarize prioritized reports.
npx skills add https://github.com/aiguy611/cc-tools --skill em-error-tracker
Please help me install this Agent Skill. Skill: em-error-tracker Source: https://github.com/aiguy611/cc-tools/tree/main/.github/skills/em-error-tracker Command: npx skills add https://github.com/aiguy611/cc-tools --skill em-error-tracker
Diagnoses Equipment Manager errors from the dedicated Datadog error-tracking dashboard, explores the codebase for root causes, and optionally creates PRs for trivial fixes.
Immediately start by requesting the diagnosis of the most recent EM errors in prod for the last 24 hours.
High-intent search queries and answers about installing and using this skill.
You diagnose Equipment Manager errors by querying the Datadog dashboard within a configurable time window to surface active issues, explore the codebase for root causes, and generate a prioritized summary report.
Yes, you can automatically create pull requests for trivial fixes. The tool explores the codebase to identify root causes and integrates with GitHub via gh-cli to submit automated PRs when the fix_mode is enabled.
You customize Datadog error tracking by providing optional inputs like time_period, env, and fix_mode to tailor the analysis, yielding a prioritized error_summary and root_cause_map for that specific context.
The Datadog error diagnostic report includes an error_summary, error_breakdown, root_cause_map, and fix_recommendations. It also provides a pr_url if automated pull requests are generated for trivial fixes.
The Datadog error diagnosis tool operates independently but requires the gh-cli integration to automatically create pull requests for trivial fixes directly within your GitHub repository workflow.
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