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Found 667 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.
Sentry error monitoring and issue tracking skill for retrieving issues, events, and project health data. Use when working with error tracking, exceptions, crashes, debugging production issues, or analyzing error patterns.
Expert-level Prometheus monitoring, metrics collection, PromQL queries, alerting, and production operations
Expert-level livestock management, animal health monitoring, breeding programs, and ranch management
Search Twitter/X in real-time using Grok API. Use when searching X posts, tracking trends, monitoring accounts, or analyzing social discussions.
Comprehensive SEO and GEO (Generative Engine Optimization) skills covering research, building, optimization, and monitoring phases. 16 specialized skills for search optimization.
This skill should be used when users need to interact with AWS services via CLI. It covers all AWS services including EC2, ECS, EKS, Lambda, S3, RDS, DynamoDB, VPC, Route53, CloudFront, Bedrock, Support, Billing, and more. Supports querying, creating, modifying, deleting resources, monitoring, debugging, and cost analysis. Triggers on requests mentioning AWS, cloud resources, or specific AWS service names.
Complete energy optimization API reference - Power Profiler workflows, timer/network/location/background APIs, iOS 26 BGContinuedProcessingTask, MetricKit monitoring, with all WWDC code examples
Tracks competitor page changes over time. Captures snapshots, detects diffs, alerts on significant changes. Supports Tavily site discovery for URL enumeration. Use when monitoring competitive intelligence, pricing changes, or feature tracking.
Browser automation with Puppeteer CLI scripts. Use for screenshots, performance analysis, network monitoring, web scraping, form automation, or encountering JavaScript debugging, browser automation errors.
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.
Generate analytics reports from Olakai data using CLI commands. AUTO-INVOKE when user wants: usage summaries, KPI trends, risk analysis, ROI reports, efficiency metrics, agent comparisons, token usage reports, cost analysis, compliance reports, or any analytics without using the web dashboard. TRIGGER KEYWORDS: olakai, analytics, reports, usage summary, KPI trends, risk analysis, ROI, efficiency, agent comparison, token usage, cost analysis, metrics report, dashboard data, CLI analytics, terminal report, compliance, usage report, event summary, performance metrics, AI usage stats. DO NOT load for: setting up monitoring (use olakai-add-monitoring), troubleshooting (use olakai-troubleshoot), or creating new agents (use olakai-create-agent).