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Found 204 Skills
Build a Solana wallet monitoring bot (inflows/outflows, threshold alerts) with safe rate limits and privacy guardrails. Use for treasury monitoring, whale tracking, or security alerts.
Revolut X live price and indicator monitoring. Use when the user asks to "monitor prices", "set up alerts", "watch RSI", "track EMA crossover", "volume spike alert", "Bollinger band alert", "MACD alert", or runs revx monitor commands. This is a long-running background process.
Create, search, update, and manage SOC cases via the Kibana Cases API. Use when tracking incidents, linking alerts to cases, adding investigation notes, or managing triage output.
Tracks and analyzes keyword ranking positions over time for both traditional search results and AI-generated responses. Monitors ranking changes, identifies trends, and alerts on significant movements.
Use when animating notifications, toasts, alerts, snackbars, or system messages to grab attention appropriately
Revolut X Telegram notification connector. Use when the user asks to "set up Telegram alerts", "add Telegram bot", "manage Telegram connection", "test Telegram notification", or runs revx connector telegram commands.
Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). Not for live VLM or incident-range narrative reports.
Sets up and manages alerts for critical SEO and GEO metrics including ranking drops, traffic changes, technical issues, and competitor movements. Enables proactive monitoring and quick response to issues.
Get current weather and forecasts via wttr.in or Open-Meteo. Use when: user asks about weather, temperature, or forecasts for any location. NOT for: historical weather data, severe weather alerts, or detailed meteorological analysis. No API key needed.
Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for real-time alerts or ad-hoc Q&A.
Amazon Bedrock AgentCore Evaluations for testing and monitoring AI agent quality. 13 built-in evaluators plus custom LLM-as-Judge patterns. Use when testing agents, monitoring production quality, setting up alerts, or validating agent behavior.
Know when your AI breaks in production. Use when you need to monitor AI quality, track accuracy over time, detect model degradation, set up alerts for AI failures, log predictions, measure production quality, catch when a model provider changes behavior, build an AI monitoring dashboard, or prove your AI is still working for compliance. Covers DSPy evaluation for ongoing monitoring, prediction logging, drift detection, and alerting.