resource-monitor
Monitor system resources (CPU, memory, disk, network) during development and production.
dependency-updater
Smart dependency update checker with changelog summaries and breaking change detection.
dead-code-detector
Identify unused code, imports, variables, and functions for safe removal.
ln-626-dead-code-auditor
Dead code & legacy audit worker (L3). Checks unreachable code, unused imports/variables/functions, commented-out code, backward compatibility shims, deprecated patterns. Returns findings.
fixing-bugs
Use when encountering a bug - complete workflow from discovery through debugging, bd issue, test-driven fix, verification, and closure
debugging-with-tools
Use when encountering bugs or test failures - systematic debugging using debuggers, internet research, and agents to find root cause before fixing
datadog
Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.
kirby-upgrade-and-maintenance
Upgrade Kirby and maintain dependencies safely using composer audit, plugin compatibility checks, and official docs. Use when updating Kirby versions or making maintenance changes that affect runtime.
kirby-content-migration
Plan and apply safe Kirby content migrations using runtime content tools, update schemas, and explicit confirmation. Use when a user needs to rename/move/transform fields, clean up content, or bulk-update pages/files across languages.
kirby-debugging-and-tracing
Diagnose Kirby rendering/runtime issues using MCP runtime rendering, dump traces, and template/snippet/controller indexes. Use when outputs are wrong, errors occur, or you need to trace execution paths.
kirby-performance-and-media
Improve Kirby performance and media delivery (cache tuning, CDN, responsive images, lazy loading). Use when optimizing page speed, caching, or image handling.
tech-debt-analysis
Analyze and address technical debt in codebases.
technical-debt-assessment
Assess, quantify, and prioritize technical debt using code analysis, metrics, and impact analysis. Use when planning refactoring, evaluating codebases, or making architectural decisions.
uptime-monitoring
Implement uptime monitoring and status page systems for tracking service availability. Use when monitoring application uptime, creating status pages, or implementing health checks.
refactor-legacy-code
Modernize and improve legacy codebases while maintaining functionality. Use when you need to refactor old code, reduce technical debt, modernize deprecated patterns, or improve code maintainability without breaking existing behavior.
performance-regression-debugging
Identify and debug performance regressions from code changes. Use comparison and profiling to locate what degraded performance and restore baseline metrics.
Model Monitoring
Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow
network-debugging
Debug network issues using browser tools and network analysis. Diagnose connection problems, latency, and data transmission issues.
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