GitHub
dapr
Comprehensive DAPR (Distributed Application Runtime) skill for building distributed microservices from hello world to professional production systems. Provides guidance on DAPR setup, building blocks (service i...
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tools monitoring AI 技能
发现 tools monitoring 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
kubernetes-cluster-manager
Manage manifests, Helm charts, autoscaling, and disruption budgets.
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GitHub
alerting-and-monitoring
Define alerts, escalation, and incident response.
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GitHub
tracing-observability
Structured logging and distributed tracing for Rust.
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GitHub
error-tracking
Use this agent to implement error tracking with Sentry or similar service for production error monitoring. User: "Set up Sentry for error tracking" Agent: Use error-tracking to integrate Sentry User: "Moni...
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GitHub
logging-aggregation
Centralize logs with ELK/EFK and retention policies.
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GitHub
logging-optimizer
Tune log levels, structure, and sampling.
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GitHub
logging-system
Use this agent when implementing structured logging with proper log levels, formatting, and rotation. User: "We're using print statements instead of proper logging" Agent: Use logging-system to implement stru...
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GitHub
performance-monitoring
Use this agent to monitor application performance, API response times, and database query performance. User: "Add API response time monitoring" Agent: Use performance-monitoring to add metrics User: "Track...
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GitHub
java-debugging-prod-incidents
Production incident debugging playbook for Java services: triage with logs/metrics/traces, safe JVM diagnostics (jcmd/JFR/thread dumps), rollback decision tree, communication, and blameless postmortems. Use dur...
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GitHub
java-observability-metrics
Design and implement service metrics (counters, gauges, timers, histograms) with strict label/cardinality rules and SLO-ready signals. Use when adding KPIs/SLOs, building dashboards, or preventing metrics cardi...
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GitHub
java-logging-structured
Implement structured logging (JSON/logfmt), correlation IDs, and safe log policies (levels, redaction, sampling). Use when incident response is slow, tracing request flows is hard, or logs are inconsistent acro...
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GitHub
data-catalog-creator
Manage metadata, lineage, and discovery.
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GitHub
audit-logger
Implement immutable audit logging and SIEM integration.
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GitHub
java-observability-tracing
Implement distributed tracing with OpenTelemetry (context propagation, sampling, semantic conventions, span design) and integrate with logs/metrics. Use when debugging microservices latency, dependency failures...
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GitHub
meta-health
Generate system health dashboard with compound engineering metrics
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GitHub
eureka-context-engineering-v61
Complete Eureka V6.1 Context Engineering suite with observability, structured output, and hybrid memory
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GitHub
observability-stack
Deploy metrics, logs, tracing, and SLO tracking.
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GitHub
nestjs-observability
Structured logging (Pino) and Prometheus metrics.
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GitHub
collecting-evidence
Use when researching a specific pillar and need to create traceable evidence objects. Guides creation of YAML evidence files with semantic IDs, confidence scores, and assumptions.
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GitHub
ej-deployment-bug-fix
EJ's structured deployment debugging workflow for when code changes are not reflected after deployment. Use when users report deployment failures, changes not appearing in production, build errors, CI/CD pipeli...
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GitHub
olakai-troubleshoot
Troubleshoot Olakai monitoring issues when something isn't working. AUTO-INVOKE when user mentions: events not appearing, KPIs showing wrong values, KPIs showing strings instead of numbers, custom data missing,...
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GitHub
aiops
Generic AIOps (AI for IT Operations) patterns and best practices for 2025. Provides comprehensive implementation strategies for intelligent monitoring, automation, incident response, and observability across an...
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GitHub
devops-orchestrator
Coordinates infrastructure, CI/CD, and deployment tasks. Use when provisioning infrastructure, setting up pipelines, configuring monitoring, or managing deployments. Applies devops-standard.md with DORA metrics...
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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。