GitHub
machina-agent
Debug and trace MachinaMed medical agent errors in GKE environments. Use for investigating agent failures, tracing invocations, analyzing MALFORMED_FUNCTION_CALL errors, and generating comprehensive error repor...
Skills IA content media monitoring
Découvrez les skills content media monitoring, comparez leurs dépôts et consultez leurs instructions.
Catégories: content media monitoring
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Explorer
GitHub
observability-review
Evaluate logging coverage, error tracking, debugging capabilities, and monitoring patterns. Use when investigating production issues becomes difficult, after incidents, or when expanding monitoring coverage.
GitHub
health-aggregate-skill
Aggregation phase for /assist:health-check command - produces final report
GitHub
appinsights-instrumentation
Instrument a webapp to send useful telemetry data to Azure App Insights
GitHub
opentelemetry
OpenTelemetry observability - use for distributed tracing, metrics, instrumentation, Sentry integration, and monitoring
GitHub
kratos-wire-provider
Manages Wire dependency injection providers in go-kratos microservices. Adds constructors to ProviderSets and regenerates Wire code. Use when integrating new components into dependency injection.
GitHub
observability-standards
This skill should be used when the user asks about "observability", "logging", "metrics", "tracing", "monitoring", "structured logging", "log format", "log levels", "distributed tracing", "OpenTelemetry", "heal...
GitHub
sentry-analysis
Analyzes Sentry errors and creates Jira tickets for recurring issues. Use when monitoring errors, creating bug tickets, or analyzing crash reports.
GitHub
datadog
Query logs, metrics, monitors, and dashboards from Datadog. Search logs, check alert status, and investigate incidents.
GitHub
cloudflare-debug
Debugging patterns for Cloudflare Workers. Activates when troubleshooting errors, checking logs, or investigating production issues.
GitHub
governancestart-agent-session
Starts a new agent session record with deterministic naming.
GitHub
governancestart-agent-session
Starts a new agent session record with deterministic naming.
GitHub
observability
Observability patterns including logging, metrics, tracing, and alerting. Auto-triggers when implementing monitoring, debugging production issues, or setting up alerts.
GitHub
historian
Data Analyst. Monitors logs in real-time and generates the PQC Benchmark Book PDF.
GitHub
benchmark-analysis
Performance analyst. Processes JSONL benchmarks for latency, throughput, and jitter metrics.
GitHub
policy-synthesis
Policy writer. Aggregates analysis artifacts into deterministic policy JSON.
GitHub
performance-oracle
Use this agent when analyzing code for performance issues, optimization opportunities, or scalability concerns. Triggers on requests like "performance review", "check for bottlenecks", "scalability analysis".
GitHub
run-insights-recovery
Converts run telemetry into insights, recovery recommendations, and next-session nudges.
GitHub
observability-metrics
Operate and validate mjr.wtf observability endpoints (/health, /metrics) and logging-related behavior. Use when adding metrics, changing auth around metrics, or debugging production-like issues.
GitHub
writing-rules
Use when creating or updating rules in CLAUDE.md, settings, or rule files. Covers confidence thresholds and false positive prevention.
GitHub
markdowntown-analytics
Use this when instrumenting analytics, reviewing event taxonomy, or handling privacy/redaction rules for markdowntown.
GitHub
observability
Observability patterns for metrics, logging, distributed tracing, and error tracking. Trigger: When setting up monitoring, when implementing logging, when adding error tracking, when configuring distributed tra...
GitHub
quasar-queue
Expert in background jobs and message queues using Gravito Quasar. Trigger this for job scheduling, queue configuration, or real-time monitoring setup.
GitHub
ops-commander
Expert in Gravito operations and deployment. Trigger this for Docker, Fly.toml, CI/CD, or infrastructure management.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.