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Found 271 Skills
Shared Python library for Intelligems Analytics skills. Sets up the workspace, API client, metric helpers, and configuration. Run this before using any other Intelligems Analytics skill.
Pinterest API v5 Development - Authentication, Pins, Boards, Analytics
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).
Google BigQuery for analytics, ML, and data warehousing. Use for large-scale analytics.
Plausible Analytics API for querying website statistics and managing sites. Use this skill to get visitor counts, pageviews, traffic sources, and manage analytics sites.
The practice of collecting, analyzing, and acting on data to drive product decisions. Great analytics isn't about dashboards—it's about insights that lead to action. Every metric should answer a question that changes behavior. This skill covers event tracking, metrics design, dashboards, user behavior analysis, and data-driven decision making. The best analytics teams measure what matters, not what's easy to measure. Use when "analytics, metrics, tracking, dashboard, funnel, cohort, retention, events, KPI, measure, data, insights, conversion, engagement, analytics, metrics, data, dashboards, tracking, funnels, cohorts, KPIs, insights" mentioned.
Integrate Databuddy analytics into applications using the SDK or REST API. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, or querying analytics data programmatically.
Run /check-posthog, then create GitHub issues for all findings. Each finding becomes a separate, actionable issue with clear acceptance criteria. Invoke for: PostHog audit to issues, analytics backlog creation.
Run /check-posthog, then fix the highest priority PostHog integration issues. Focuses on one issue at a time for safe, incremental fixes. Invoke for: PostHog not working, events not sending, analytics broken.
Write and query high-cardinality event data at scale with SQL. Load when tracking user events, billing metrics, per-tenant analytics, A/B testing, API usage, or custom telemetry. Use writeDataPoint for non-blocking writes and SQL API for aggregations.
Vercel observability for Web Analytics, Speed Insights, logs, tracing, alerts, and observability tooling. Use when monitoring performance or debugging production behavior on Vercel.
When the user wants to set up product analytics -- including event taxonomy, tracking plans, funnel analysis, or tool selection (Mixpanel, Amplitude, PostHog). Also use when the user says "event tracking," "analytics setup," "tracking plan," "analytics implementation," or "user identification." For PLG metrics, see plg-metrics. For experimentation, see growth-experimentation.