Creates or modify a metric of a microservice. Use when explicitly asked by the user to create or modify a custom metric for a microservice, or when it makes sense to measure a certain operation taken by the microservice.
Create standardized report headers with metadata for all agent-generated reports. Use when generating bug reports, security audits, dependency reports, or any worker output requiring consistent formatting.
Generates protocol-based analytics infrastructure with swappable providers (TelemetryDeck, Firebase, Mixpanel). Use when user wants to add analytics, track events, or set up telemetry.
Generates protocol-based error/crash monitoring with swappable providers (Sentry, Crashlytics). Use when user wants to add crash reporting, error tracking, or production monitoring.
KPI and metrics dashboard workflow covering metric definition, data sourcing, visualization design, and anomaly detection. Delivers actionable dashboards.
Structured workflow for onboarding new services to the internal platform including infrastructure provisioning, observability setup, and documentation.
Comprehensive Ring-standards-aligned 44-dimension production readiness audit. Detects project stack, loads Ring standards via WebFetch, and runs in batches of 10 explorers appending incrementally to a single report file. Categories - Structure (pagination, errors, routes, bootstrap, runtime, core deps, naming, domain modeling, nil-safety, api-versioning, resource-leaks), Security (auth, IDOR, SQL, validation, secret-scanning, data-encryption, multi-tenant, rate-limiting, cors), Operations (telemetry, health, config, connections, logging, resilience, graceful-degradation), Quality (idempotency, docs, debt, testing, dependencies, performance, concurrency, migrations, linting, caching), Infrastructure (containers, hardening, cicd, async, makefile, license). Produces scored report (0-430, max 440 with multi-tenant) with severity ratings and standards cross-reference.
Trae 项目规范化配置专家。用于快速初始化 Trae 项目配置文件、生成项目规则、用户偏好设置和 Skill 模板。当用户需要：(1) 初始化新项目的 Trae 配置 (2) 生成 .trae 目录结构 (3) 创建 USER_PREFERENCES.md 用户偏好文件 (4) 创建 project_rules.md 项目规则文件 (5) 创建新的 Skill 模板 时使用此 Skill。
Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.
Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow
Implement error tracking with Sentry for automatic exception monitoring, release tracking, and performance issues. Use when setting up error monitoring, tracking bugs in production, or analyzing application stability.
Implement structured logging across applications with log aggregation and centralized analysis. Use when setting up application logging, implementing ELK stack, or analyzing application behavior.
Implement distributed tracing with Jaeger and Zipkin for tracking requests across microservices. Use when debugging distributed systems, tracking request flows, or analyzing service performance.
Implement feature flags (toggles) for controlled feature rollouts, A/B testing, canary deployments, and kill switches. Use when deploying new features gradually, testing in production, or managing feature lifecycles.
Implement canary deployment strategies to gradually roll out new versions to subset of users with automatic rollback based on metrics.
Implement centralized logging with ELK Stack, Loki, or Splunk for log collection, parsing, storage, and analysis across infrastructure.
Set up Prometheus monitoring for applications with custom metrics, scraping configurations, and service discovery. Use when implementing time-series metrics collection, monitoring applications, or building observability infrastructure.
Implement service mesh (Istio, Linkerd) for service-to-service communication, traffic management, security, and observability.
Implement distributed tracing with correlation IDs, trace propagation, and span tracking across microservices. Use when debugging distributed systems, monitoring request flows, or implementing observability.
Set up comprehensive infrastructure monitoring with Prometheus, Grafana, and alerting systems for metrics, health checks, and performance tracking.
Implement structured logging with JSON formats, log levels (DEBUG, INFO, WARN, ERROR), contextual logging, PII handling, and centralized logging. Use for logging, observability, log levels, structured logs, or debugging.
Implement comprehensive security audit logging for compliance, forensics, and SIEM integration. Use when building audit trails, compliance logging, or security monitoring systems.
Add a new Homematic device type with DeviceProfileRegistry registration, custom data point class, and tests. Use when the user wants to add support for a new device model.
