monitoring-graphs
🐉 skill for generating high-quality, annotated incident graphs for post-mortems using Python. Use this when the user needs to visualize an outage, show error rates, or correlate metrics with incident milestones.
- Version
- 0.0.6
Pinned to revision ef738e33bad6, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/monitoring-graphs/SKILL.md
- skills/monitoring-graphs/CHANGELOG.md
- skills/monitoring-graphs/assets/sample_correlation_data/improved_incident_graphs.png
- skills/monitoring-graphs/assets/sample_correlation_data/incident_graph.png
- skills/monitoring-graphs/assets/sample_incident_log_errors/incident_draft_graph.png
- skills/monitoring-graphs/assets/sample_incident_log_errors/incident_draft_graph_baseline.png
- skills/monitoring-graphs/assets/sample_incident_log_errors/incident_final_graph.png
- skills/monitoring-graphs/assets/sample_incident_log_errors/incident_graph_draft.png
- skills/monitoring-graphs/assets/sample_traffic_blackhole_errors/traffic_blackhole_graph.png
- skills/monitoring-graphs/assets/sample_traffic_blackhole_errors/traffic_blackhole_graph_full.png
- skills/monitoring-graphs/assets/sample_traffic_blackhole_errors/traffic_blackhole_zoom.png
- skills/monitoring-graphs/references/archetypes.md
- skills/monitoring-graphs/scripts/csv_to_sparkline.py
- skills/monitoring-graphs/scripts/plot_archetype.py
- skills/monitoring-graphs/scripts/reference_dual_plot.py
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