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Found 1,444 Skills
Fetch and analyze AppSignal error incidents. Use when debugging errors, investigating exceptions, or when the user mentions AppSignal, incidents, or error monitoring.
Enforce continuous security vigilance and threat monitoring.
Monitor Granola usage, analytics, and meeting insights. Use when tracking meeting patterns, analyzing team productivity, or building meeting analytics dashboards. Trigger with phrases like "granola analytics", "granola metrics", "granola monitoring", "meeting insights", "granola observability".
System-wide keyboard shortcut registration on macOS using NSEvent monitoring (simple, app-level) and Carbon EventHotKey API (reliable, system-wide). Covers NSEvent.addGlobalMonitorForEvents and addLocalMonitorForEvents, CGEvent tap for keystroke simulation, Carbon RegisterEventHotKey for system-wide hotkeys, modifier flag handling (.deviceIndependentFlagsMask), common key code mappings, debouncing, Accessibility permission requirements (AXIsProcessTrusted), and SwiftUI .onKeyPress for in-app shortcuts. Use when implementing global keyboard shortcuts, hotkey-triggered panels, or system-wide key event monitoring.
Collect marketplace and product intelligence with DataForSEO Merchant for "price monitoring", "product research", and "seller analysis".
Expert MLOps engineering covering model deployment, ML pipelines, model monitoring, feature stores, and infrastructure automation.
PMU observation pattern for agent health monitoring. Runs patrol loops, detects stalled agents, sends nudges, and escalates persistent failures to the mayor. Never modifies agent work or resolves conflicts.
Set up a persistent AI agent gateway on macOS with Redis event bridge, heartbeat monitoring, and multi-session routing. Interactive Q&A to match your intent — from minimal (Redis + extension) to full (embedded daemon + Telegram + watchdog). Use when: 'set up a gateway', 'I want my agent always on', 'event bridge', 'heartbeat monitoring', 'agent notifications', or any request to make an AI agent persistent and reachable.
Design KPI dashboards for executive monitoring. Use for performance tracking, strategic initiatives, and management reporting.
Macro liquidity monitoring and risk early-warning system. By tracking 4 core indicators (Fed Net Liquidity, SOFR Overnight Financing Rate, MOVE Treasury Volatility Index, Yen Carry Trade Signals), it provides real-time assessment of liquidity conditions in the global financial system, outputting liquidity ratings and risk response recommendations. When users mention topics such as liquidity, Fed balance sheet reduction (QT), TGA account, reverse repo ON RRP, SOFR rate, MOVE index, Treasury volatility, yen carry trade, USDJPY and interest rate differentials, impact of QT on markets, whether money is tight, liquidity inflection points, tightening financial conditions, etc., this skill should be used. Even if users ask broadly "how is liquidity right now" or "is the Fed draining or injecting liquidity," this skill should be triggered to provide a structured analytical framework.
Use when decisions could affect groups differently and need to anticipate harms/benefits, assess fairness and safety concerns, identify vulnerable populations, propose risk mitigations, define monitoring metrics, or when user mentions ethical review, impact assessment, differential harm, safety analysis, vulnerable groups, bias audit, or responsible AI/tech.
Guided Perses dashboard creation: gather requirements (metrics, datasource, layout), generate CUE definition or JSON spec, validate with percli lint, deploy with percli apply or MCP perses_create_dashboard. Use when user wants to create a new Perses dashboard, build a monitoring dashboard, or generate dashboard definitions. Use for "create perses dashboard", "new dashboard", "perses new dashboard", "build dashboard". Do NOT use for Grafana migration (use perses-grafana-migrate) or plugin development (use perses-plugin-create).