Analytics skills

This skill helps you apply common patterns and best practices in vue-chrts for data formatting, legends, and chart styling across types.

This skill helps you build reusable line and area charts in Vue 3, enabling time-series visualization with flexible formatting and legends.

This skill helps you visualize flows and resource distribution with SankeyChart components for clear energy, user journeys, and budget analyses.

This skill helps you visualize project timelines with customizable GanttChart components, enabling clear scheduling, tracking, and categorization of tasks.

This skill helps you create interactive map visualizations with topojson and dotted maps, enabling choropleth coloring, pins, and regional insights.

This skill analyzes web performance using Chrome DevTools MCP to reveal Core Web Vitals, render-blocking resources, and optimization opportunities.

This skill helps you integrate PostHog analytics into Laravel apps with minimal changes and environment-based configuration.

This skill guides you through chain-of-thought prompting and related techniques to enhance complex reasoning with structured templates and decision matrices.

This skill demonstrates common Vuer patterns for animation, URDF, point clouds, interactivity, and batch updates to accelerate robotics visuals.

This skill helps you construct and inspect Vuer 3D components, including primitives, meshes, URDF models, cameras, lighting, and images.

This skill maps dependency relationships with a DSM, scores risk, and recommends safe implementation sequences for multi-slice features.

This skill verifies that the current commit meets QA Contract criteria and returns GREEN or RED with optional debug invocation.

This skill aligns implementation phases with GTM strategy and KPI targets by validating persona tiers against real Notion data.

This skill fetches real-time tech and finance news from multiple sources, analyzes content deeply, and delivers concise, insightful briefings.

This skill helps you transform raw data into clean, production-ready analytical assets using dbt, pandas, polars, PySpark, and Airflow.

This skill helps you design and implement centralized SIEM logging, detection rules, and compliance strategies across cloud and on-prem environments.

This skill helps you design and implement real-time streaming pipelines with Kafka, Pulsar, Flink, and Spark across languages.

This skill helps you design and implement vector DB powered RAG and semantic search workflows across Python and TypeScript.

This skill guides you to operationalize ML models from experimentation to production, covering tracking, registry, features, serving, pipelines, and monitoring.

This skill helps you select, implement, and optimize data visualizations with accessible, high-performance charts across datasets and dashboards.

This skill guides you in designing modern data platforms, selecting storage, modeling, and governance patterns to optimize architecture.