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Monitor and troubleshoot dual-pipeline data collection systems on GCP. This skill should be used when checking pipeline health, viewing logs, diagnosing failures, or monitoring long-running operations for data...
Precisely filter and query Langfuse traces/observations using advanced filter operators for debugging and optimization workflows
Analyzes research queries to determine if new strategies are needed, optimizes existing strategies using Langfuse traces, and generates strategy templates
Build new data ingestion providers following the FF Analytics registry pattern. This skill should be used when adding new data sources (APIs, files, databases) to the data pipeline. Guides through creating prov...
Manage PrismaClient lifecycle with graceful shutdown, proper disconnect timing, and logging configuration. Use when setting up application shutdown handlers, configuring logging for development or production, o...
Use this skill when users need help configuring outputs to route telemetry to SIEMs, data lakes, or other destinations.
Design, deploy, upgrade, and operate the InsightPulseAI Superset-based BI platform on the user's infrastructure with secure, stable, scalable configs.
Expert guidance for deploying, managing, and scaling GabeDA infrastructure on Railway (backend) and Render (frontend). Handles environment configuration, CORS setup, troubleshooting, monitoring, and production...
Creates timestamped technical analysis and debugging reports following a standardized structure. Use when documenting completed work, analyzing technical issues, investigating bugs, or when the user requests a...
Expert guidance for Apache NiFi Registry including flow versioning, buckets, Git integration, security, and registry client configuration. Use this when working with flow version control and registry management...
Systematically debug failed Omnistrate instance deployments using a progressive workflow that identifies root causes efficiently while avoiding token limits. Applies to deployment failures, probe issues, and he...
Set up application monitoring, logging, error tracking, and performance metrics tracking. Use when implementing monitoring or debugging production issues.
OpenTelemetry Demo system architecture reference for debugging service dependencies, port conflicts, memory issues, telemetry gaps, and performance problems. Use when analyzing failures, understanding service t...
Analyzes distributed systems using Prometheus (PromQL), Loki (LogQL), and Tempo (TraceQL). Constructs efficient queries for metrics, logs, and traces. Interprets results with token-efficient structured output....
Query Prometheus metrics, check resource usage, and analyze platform performance in the Kagenti platform
Instrument Java/Spring Boot applications with observability metrics. Use when adding metrics to microservices, integrating with monitoring systems (Prometheus, Cloud Monitoring), managing metric cardinality, or...
Export Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments. Use when setting up metrics export in Kubernetes environments, configuring Workload Identity, managing metric prefixes and re...
ユーザーの責任範囲定義から、Agentのマークダウンファイルを生成する。エージェント作成時、プラグイン要素生成時、またはユーザーがエージェント定義、責任範囲、Agent生成、エージェントドキュメントに言及した際に使用する...
Collect and analyze OADP diagnostic data using oadp-must-gather to troubleshoot backup, restore, and deployment issues.
Check currently firing Grafana alerts, analyze alert status, and investigate alert issues in the Kagenti platform
Investigate platform incidents, perform RCA, create incident documentation, and follow alert runbooks in the Kagenti platform
Query and analyze logs using Grafana Loki for the Kagenti platform, search for errors, and investigate issues
Implement comprehensive audit logging for all admin actions, capturing user ID, action type, entity changes, IP address, and user agent. Use when tracking system activities or adding audit trails.
Instrument a webapp to send useful telemetry data to Azure App Insights
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.