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Found 1,444 Skills
Healthcare Enterprise Funding Monitoring System. Real-time monitoring of industrial and commercial changes of healthcare enterprises, identification of funding signals, and automatic alert pushing. Supports data collection from Tianyancha/Qichacha, AI funding judgment, and multi-channel pushing.
Check Meilisearch index status, tasks, health, and settings. Use for debugging search issues, monitoring indexing tasks, and inspecting index configuration. Read-only admin operations.
Real-time monitoring of ClickHouse metrics, events, and asynchronous metrics. Use for load average, connections, queue monitoring, and resource saturation.
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 tracing, when building health checks, when creating dashboards.
Full Sentry SDK setup for Ruby. Use when asked to add Sentry to Ruby, install sentry-ruby, setup Sentry in Rails/Sinatra/Rack, or configure error monitoring, tracing, logging, metrics, profiling, or crons for Ruby applications. Also handles migration from AppSignal or Honeybadger. Supports Rails, Sinatra, Rack, Sidekiq, and Resque.
Full Sentry SDK setup for Apple platforms (iOS, macOS, tvOS, watchOS, visionOS). Use when asked to "add Sentry to iOS", "add Sentry to Swift", "install sentry-cocoa", or configure error monitoring, tracing, profiling, session replay, or logging for Apple applications. Supports SwiftUI and UIKit.
Deploy Nozomi Networks Guardian sensors for passive OT network traffic analysis to achieve comprehensive asset visibility, real-time threat detection, and vulnerability assessment across industrial control systems without disrupting operations, leveraging behavioral anomaly detection and protocol-aware monitoring.
Use when you need to implement or improve Java logging and observability — including selecting SLF4J with Logback/Log4j2, applying proper log levels (ERROR, WARN, INFO, DEBUG, TRACE), parameterized logging, secure logging without sensitive data exposure, environment-specific configuration, log aggregation and monitoring, or validating logging through tests. Part of the skills-for-java project
You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging, and ensure teams can quickly identify and resolve production issues.
Orchestrate the complete advisor workflow for assembling and delivering a comprehensive financial plan, from data gathering through recommendations and ongoing monitoring. Use when the user asks about building a financial plan for a client, structuring a planning engagement, coordinating retirement and education and estate goals into one plan, running scenario analysis across a full financial picture, prioritizing competing recommendations, preparing for a plan presentation meeting, or deciding when a plan needs updating. Also trigger when users mention 'comprehensive financial plan', 'discovery meeting', 'cash flow analysis', 'retirement modeling', 'education funding gap', 'plan delivery', 'savings rate', 'plan update trigger', or 'is my client on track'.
Post-investment monitoring via Longbridge Securities — tracks portfolio holdings vs plan on a quarterly / monthly basis, extracts key KPIs (revenue growth / gross margin / cash flow), flags deviations vs expectations, and generates a monitoring report with add / reduce / stop-loss recommendations. Triggers: "投后监控", "持仓监控", "定期复盘", "跟踪持仓", "持仓检视", "KPI跟踪", "业绩追踪", "投後監控", "持倉監控", "定期複盤", "追蹤持倉", "KPI追蹤", "post-investment monitoring", "position monitoring", "portfolio review", "KPI tracking", "performance tracking", "investment monitoring", "holding review".
Expert Django and Celery guidance for asynchronous task processing. Use when designing background tasks, configuring workers, handling retries and errors, optimizing task performance, implementing periodic tasks, or setting up production monitoring. Follows Celery best practices with Django integration patterns.