Analytics & Monitoring Agent Skills for Zed

Use when a Journal of Risk and Uncertainty (JRU) result may be sensitive to specification, incentive frame, sample, or inference.

Monitoring and observability with OpenTelemetry, Prometheus, Grafana dashboards, and structured logging

Web performance optimization including bundle analysis, lazy loading, caching strategies, and Core Web Vitals

Manage and automate complex Roistat analytics reports, attribution slices, and data validation directly via API without using the web…

5 Whys, Fishbone diagrams, Fault Tree Analysis, and systematic debugging approaches.

Systematic root cause analysis skill with multiple investigation methodologies.

Automate Rootly tasks via Rube MCP (Composio).

Use when creating incident response procedures and on-call playbooks.

Performance regression gate. Detects N+1 queries, sync-in-async, missing indexes, memory leaks, and bundle bloat before they reach…

Engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with trend tracking. Per-person breakdowns…

This skill enables Claude to execute clustering algorithms on datasets.

Reproduce Node.js runtime behavior in an isolated Daytona sandbox and collect deterministic baseline or candidate evidence, especially…

Use when running Python code via sandbox, when an experiment fails with a runtime error, when building self-correcting ML agents, or when…

Runway ci integration \u2014 AI video generation and creative AI platform.\n\

Runway common errors \u2014 AI video generation and creative AI platform.\n\

Runway cost tuning \u2014 AI video generation and creative AI platform.\n\

Runway debug bundle \u2014 AI video generation and creative AI platform.\n\

Runway deploy integration \u2014 AI video generation and creative AI\

Runway hello world \u2014 AI video generation and creative AI platform.\n\

Runway install auth \u2014 AI video generation and creative AI platform.\n\

Runway local dev loop \u2014 AI video generation and creative AI platform.\n\