Loading...
Loading...
Found 675 Skills
Use this skill when the user needs to design onboarding flows, define their aha moment, improve activation rates, or reduce early churn. Covers activation metrics, interactive onboarding, personalization, progressive disclosure, and first-run UX.
Provides startup advice using Eric Ries' Lean Startup methodology focusing on Build-Measure-Learn cycles, validated learning, and rapid experimentation. Use when advising on MVPs, product iterations, pivot decisions, growth metrics, or when user mentions Lean Startup, Eric Ries, validated learning, or rapid experimentation.
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.
System metrics, telemetry, and performance monitoring
Use the public REST APIs that power dashboard.internetcomputer.org. Get data for canisters, ledgers, SNS, and metrics.
View Stripe revenue metrics — MRR, total charges, balance, refunds, and payouts. Use when the user asks about revenue, income, MRR, charges, refunds, or financial overview.
Traefik v3 cloud-native reverse proxy. Covers providers, entrypoints, routers, middlewares, services, Docker labels, TLS/ACME, dashboard, and metrics. USE WHEN: user mentions "traefik", "traefik v3", "traefik docker", "traefik labels", "traefik middleware", "traefik dashboard", "traefik tls", "traefik acme", "traefik router", "traefik entrypoint", "traefik reverse proxy", "traefik cloudflare", "traefik let's encrypt", "traefik rate limit" DO NOT USE FOR: Caddy-based setups - use `caddy` skill, Nginx load balancing - use `load-balancer` skill, Kubernetes ingress with nginx-ingress - use `kubernetes` skill, Application-level TLS inside app code
Production server monitoring stack covering Prometheus, Node Exporter, Grafana, Alertmanager, Loki, and Promtail on bare-metal or VM Linux hosts. USE WHEN: - Setting up monitoring for a new production server or VPS - Configuring Prometheus scrape targets for application or system metrics - Creating Grafana dashboards and datasource provisioning - Writing Alertmanager routing rules with email/Slack notifications - Implementing the PLG stack (Promtail + Loki + Grafana) for log aggregation - Performing live system diagnostics with htop, iotop, nethogs, ss, vmstat, iostat - Setting up uptime monitoring with UptimeRobot or healthchecks.io DO NOT USE FOR: - Kubernetes-native observability (use the kubernetes skill instead) - Application-level APM (distributed tracing with Jaeger/Tempo — use observability skill) - Cloud-managed monitoring (CloudWatch, GCP Monitoring, Azure Monitor) - Windows Server monitoring
Generate the competitive analysis section with competitor profiles, SWOT analysis, competitive matrix, differentiation strategy, market share positioning, and sustainable competitive advantage (moat). Proves the business can win against alternatives. Use when building or reviewing competitive analysis sections, benchmarking against competitors, or defining market positioning. Incorporates Farris's competitive metrics, guerrilla positioning strategy, value-based differentiation frameworks, Teece's business model vs strategy distinction (business model = architecture of value creation and capture; strategy = how the model is made difficult to imitate), Kaza's four differentiation types (aesthetic experience, social experience, boundary interactions, purposeful experiences), Ohmae's 3C Strategic Triangle and Key Factors for Success, and the Portable MBA onstage/backstage model with Value Net complementors framework.
Build a production-ready multilabel classifier on tabular data using XGBoost wrapped in MultiOutputClassifier. Use when each row can have multiple labels simultaneously (tags, attributes, gene functions, content moderation categories, multi-disease detection). Covers hamming loss, per-label metrics, label co-occurrence, MultiOutputClassifier vs ClassifierChain, and per-label SHAP. Default to this for any tabular multilabel problem.
Comprehensive skill for the `kb` CLI and the Karpathy Knowledge Base pattern. Covers the full KB lifecycle — topic scaffolding, multi-source ingestion (URLs, files, YouTube, bookmarks, codebases), wiki article compilation, cross-article querying with file-back, lint-and-heal passes, QMD indexing, and hybrid search. Also covers codebase-specific analysis via inspect commands for complexity, coupling, blast radius, dead code, circular dependencies, symbol/file lookups, backlinks, and code smells. Use when working with kb CLI commands, knowledge base workflows, code vault generation, code graph analysis, code metrics inspection, wiki compilation, or the ingest-compile-query-lint cycle. Do not use for general code review, linting, formatting, building Go projects, or writing application code.
Use when managing perf baselines, consolidating results, or comparing versions. Ensures one baseline JSON per version.