8 skills found
Collect and analyze on-device performance metrics and crash diagnostics using MetricKit. Use when setting up MXMetricManager, handling MXMetricPayload or MXDiagnosticPayload, processing crash/hang/disk-write diagnostics via MXCallStackTree, adding custom signpost metrics, correcting mxSignpost or extended launch measurement code, or uploading telemetry to an analytics backend.
Use this skill when encountering errors, bugs, performance issues, or unexpected behavior in an InsForge project — from frontend SDK errors to backend infrastructure problems. Trigger on: SDK returning error objects, HTTP 4xx/5xx responses, edge function failures or timeouts, slow database queries, authentication/authorization failures, realtime channel issues, backend performance degradation (high CPU/memory/slow responses), edge function deploy failures, or frontend Vercel deploy failures. Thi
Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring. Keywords: PostgreSQL, EXPLAIN, replication, JSONB, pg_stat.
Set up performance monitoring and distributed tracing with Sentry.Use when implementing performance tracking, tracing requests,or monitoring application performance.Trigger with phrases like "sentry performance", "sentry tracing","sentry APM", "monitor performance sentry".
Advanced Sentry troubleshooting techniques.Use when debugging complex SDK issues, missing events,source map problems, or performance anomalies.Trigger with phrases like "sentry not working", "debug sentry","sentry events missing", "fix sentry issues".
Upgrade Sentry SDK and migrate between versions.Use when upgrading Sentry SDK, handling breaking changes,or migrating from legacy versions.Trigger with phrases like "upgrade sentry", "sentry migration","update sentry sdk", "sentry breaking changes".
This skill enables AI assistant to track and manage ai/ml model versions using the model-versioning-tracker plugin. it should be used when the user asks to manage model versions, track model lineage, log model performance, or implement version control f... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
