optimizationmetric-review
Conduct a metric review that contextualizes performance trends, flags anomalies, and recommends actions.
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Conduct a metric review that contextualizes performance trends, flags anomalies, and recommends actions.
Compile a recurring quality report that synthesizes defect trends, automation health, and recommendations.
Output format markers for the real-time stream formatter. Use when building prompts for streaming analysis to ensure proper progress display. Documents the patterns that StreamFormatter detects and displays.
Use when querying Grafana dashboards, Prometheus metrics, Loki logs, alerting, or incidents - provides workflows and patterns for Grafana MCP tools including datasource discovery, efficient dashboard access, an...
Add Sentry v8 error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers, instrumenting cron jobs, or tracking database performance....
Extracts traces, observations, and metrics from Langfuse Cloud (EU) API for debugging, telemetry analysis, and regulatory audit trails. Generates ALCOA+ compliant reports, exports to pandas DataFrame, and suppo...
Replaces Phoenix observability with Langfuse Cloud (EU) traceability for pharmaceutical test generation. Adds @observe decorators to existing code, configures LlamaIndex callbacks, propagates GAMP-5 compliance...
Tracing (OTEL), Metrics (Prometheus), and Structured Logging
Sentry error tracking and monitoring patterns
Production monitoring, observability, SLO/SLI management, and incident response. Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response, SLO, SLI, error budget, Prometheus...
Production monitoring, observability, SLO/SLI management, and incident response. Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response, SLO, SLI, error budget, Prometheus...
Autonomous setup and management of external service monitoring using UptimeRobot (HTTP endpoint monitoring) and Healthchecks.io (heartbeat/Dead Man's Switch monitoring). Use when setting up monitoring for Cloud...
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.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。