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Found 435 Skills
Expert data analyst transforming raw data into actionable business insights. Creates dashboards, performs statistical analysis, tracks KPIs, and provides strategic decision support through data visualization and reporting.
Set up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building a tracking plan from scratch, auditing existing analytics for gaps or errors, debugging missing events, or setting up GTM. Trigger keywords: GA4 setup, Google Tag Manager, GTM, event tracking, analytics implementation, conversion tracking, tracking plan, event taxonomy, custom dimensions, UTM tracking, analytics audit, missing events, tracking broken. NOT for analyzing marketing campaign data — use campaign-analytics for that. NOT for BI dashboards — use product-analytics for in-product event analysis.
How to read paid media dashboards without fooling yourself. Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes that produce expensive lessons. Triggers on read paid media dashboard, attribution analysis, ROAS vs LTV, multi-platform reconciliation, ad incrementality, geo holdout, conversion lift study, ghost bidding, paid media reporting, board-deck paid media metrics, blended CAC, MMM, MTA, last-click attribution. Also triggers when a marketer is about to scale, kill, or rebudget a campaign based on platform metrics, or when reconciling platform reports against warehouse revenue.
Pushes live updates to connected WebSocket clients via streams. Use when building real-time dashboards, live feeds, or collaborative features.
Generate self-contained, beautiful HTML documents that replace walls of markdown. Use this skill whenever the user asks for a report, comparison, explainer, slide deck, diagram, post-mortem, status update, code walkthrough, design system showcase, prototype, or interactive editor — or mentions creating HTML outputs, dashboards, visual documentation, or "instead of markdown". Covers 10 battle-tested patterns: comparison, walkthrough, review, design-system, prototyping, diagram, deck, explainer, report, and editor.
UX execution and review skill for user-facing product work. Use for UI/UX reviews, frontend screens/components, forms and validation, product copy/microcopy, onboarding, dashboards, accessibility, error/empty/loading states, permissions, consent, billing, sharing, AI output, automation, and destructive actions. Stay quiet for backend-only logic, infrastructure, data plumbing, or work with no user-visible behavior.
Use this skill whenever the user wants to build, scaffold, modify, debug, or ship a web application, including React/Vite/Next.js/Vue/Svelte apps, full-stack prototypes, dashboards, landing pages with interactivity, games, admin panels, CRUD apps, API-backed UIs, authentication flows, database-connected apps, or when they say things like "build a web app", "make a frontend", "create a SaaS prototype", "turn this idea into an app", "搭建 Web 应用", "做一个网站应用", or "帮我开发前端". This skill should trigger even if the user does not explicitly mention a framework, because it guides framework selection, project structure, implementation, testing, live preview, and Git commits after each working slice.
Build and deploy a Coralogix dashboard for a given service from its logs, spans, metrics, and service specs. Discovers telemetry via cx CLI commands, emits importable Coralogix JSON, verifies every PromQL and DataPrime query live through the `cx` CLI, and creates or updates dashboards via `cx dashboards create` and `cx dashboards replace`. Use whenever the user asks to create, build, generate, deploy, update, replace, or modify a Coralogix dashboard, monitoring dashboard, or observability dashboard for a service, app, or pipeline.
Design dashboards, write analytical SQL, define KPIs, and manage stakeholder analytics requirements. Cover chart selection, data storytelling, cohort/funnel analysis, metric definitions, and BI tool patterns (Tableau, Looker, Power BI). Triggers on "build dashboard", "design dashboard", "write analytical SQL", "cohort analysis", "funnel analysis", "define KPI", "define metric", "reporting requirements", "data storytelling", "stakeholder analytics", "retention analysis", or "BI report". For business model canvas, TAM/SAM/SOM, and competitor monetization research, use business-model-researcher—not bi-analyst. For building warehouse marts, dbt models, tests, and lineage—not dashboards—use analytics-data-engineer.
Guides Site Reliability Engineering—SLI/SLO and error budgets, reliability dashboards and burn-rate alerting, production readiness reviews, capacity planning for availability, toil reduction, dependency and failure-mode analysis, release reliability (canaries, rollback criteria), and service-owner incident mitigation tied to customer impact. Use when defining or operating SLOs, measuring error budget burn, improving service reliability, running PRRs before launch, planning scalable resilient capacity, or leading technical mitigation during outages—not for CI/CD pipeline implementation (devops), incident program and paging policy design (incident-management-engineer), cloud access and patch tickets (cloud-system-administrator), load-test profiling (performance-engineer), rollout cutover strategy (deployment-strategist), or greenfield cloud build-out (cloud-engineer).
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with SQL and Streamlit
Use for latency-sensitive systems such as realtime dashboards, market data, streaming agents, execution gateways, queues, caches, or HFT-like infrastructure where freshness and p95 latency matter.