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Found 803 Skills
Configure autoscaling for Kubernetes, VMs, and serverless workloads based on metrics, schedules, and custom indicators.
Monitoring and observability strategy, implementation, and troubleshooting. Use for designing metrics/logs/traces systems, setting up Prometheus/Grafana/Loki, creating alerts and dashboards, calculating SLOs and error budgets, analyzing performance issues, and comparing monitoring tools (Datadog, ELK, CloudWatch). Covers the Four Golden Signals, RED/USE methods, OpenTelemetry instrumentation, log aggregation patterns, and distributed tracing.
Generates comprehensive SEO and GEO performance reports combining rankings, traffic, backlinks, and AI visibility metrics. Creates executive summaries and detailed analyses for stakeholder reporting.
Analyze text to detect if it was written by AI. Returns a score from 0-100 with detailed metrics. Use when checking content before publishing or submitting.
Track production app health and catch issues before users complain. Use after deploying, to check app status, or when investigating user reports. Covers error tracking, uptime monitoring, and metrics for non-technical founders.
Retrieve year-over-year growth in cash flow metrics including Operating Cash Flow, Free Cash Flow, and Net Cash Flow. Use when analyzing company cash generation trends, capital allocation efficiency, or liquidity trajectory.
Retrieve stock price data and performance metrics using Octagon MCP. Use when analyzing daily closing prices, trading volume, price trends, historical performance, and comparing stock movements over specific time periods.
Retrieve a snapshot of market sector performance using Octagon MCP. Use when analyzing sector-wide metrics including revenue, EBITDA, net income, market cap, and enterprise value for companies within a specific sector and exchange.
Decide whether/how to pivot a startup or product and produce a Pivot Decision & Execution Pack (diagnosis, exhaustion check, pivot options map, pivot thesis + metrics, validation plan, execution plan, decision memo). Use for “should we pivot?”, “stuck pre-PMF”, “growth stalled”, “change ICP”, “reposition”, “major strategy reset”.
Prometheus metrics and PromQL queries. Use when writing PromQL queries, creating recording or alerting rules, debugging metric scraping issues, or understanding counter/gauge/histogram behavior.
Search GitHub for real-world code examples and implementation patterns. Use when user wants to find code examples on GitHub, search GitHub repositories, discover how others implement features, learn library usage patterns, or research architectural approaches. Fetches top results with smart ranking (stars, recency, language), extracts factual data (imports, syntax patterns, metrics), and returns clean markdown for analysis and pattern identification.
Design and execute customer onboarding that drives activation and retention. Use when building onboarding flows for new users, reducing churn in the first 30 days, improving time-to-value, or creating onboarding sequences (email, in-app, or manual). Covers activation metrics, onboarding step design, friction reduction, and measuring onboarding success. Trigger on "customer onboarding", "onboarding flow", "user onboarding", "reduce early churn", "improve activation", "onboarding sequence", "time to value".