skill

super-data-analytics

Portable Markdown skill for AI vibe coding with data and analytics: pipelines, BI dashboards, SQL optimisation, metrics, data quality, and analytics workflows.

arpitexplores/super-data-analyticscommunitylistedunreviewed

Use skill

Set up

Skills are installed by placing their folder where your agent loads skills.

Download ZIP from GitHub Open the repository

The download comes from github.com/arpitexplores/super-data-analytics itself, not from our server, so what you get is exactly what its author published.

Install instructions come from the README

Skills do not use an MCP config. Follow the steps in the README below.

README

synced Oct 23, 2026

Super Data Analytics

The go-to AI vibe coding skill for data and analytics: pipelines, BI dashboards, SQL optimisation, metrics, data quality, and analytics workflows.

View the full SUPER Skills catalogue.

Build and improve analytics pipelines, BI, dashboards, SQL, data quality, and measurement workflows.

Why SUPER Skills For AI Vibe Coding

Super Data Analytics gives AI coding agents the context to build reliable data workflows, not just charts. Use it for pipelines, warehouse modelling, SQL tuning, dashboard design, KPI definitions, data quality, and measurement systems.

These skills are designed for AI vibe coding: fast, agent-assisted building where the AI needs strong domain context, practical workflows, guardrails, and implementation-ready outputs.

SEO and discovery keywords: data analytics, data engineering, BI dashboards, SQL optimisation, data pipelines, KPI dashboards, data quality, analytics engineering, AI vibe coding, agent skills.

Install

Copy this folder into your agent's skills directory, then restart or reload the agent.

cp -R super-data-analytics ~/.your-agent/skills/

Use it by name:

Use $super-data-analytics to help with this request.

Best For

data engineering
analytics pipelines
BI and dashboards
SQL optimisation
data quality and modelling

Outputs

pipeline plan
dashboard or metric design
SQL review
data quality checklist
measurement recommendations

Modules

Module	Purpose
`bi-dashboard.md`	BI dashboards, KPI design, metric definitions, and reporting workflows
`data-engineer.md`	Data pipelines, ingestion, transformations, warehousing, quality, and orchestration
`sql-optimizer.md`	SQL performance, query structure, indexing, joins, and database efficiency

Example Prompts

Use $super-data-analytics to design a dashboard for these KPIs.
Use $super-data-analytics to optimise this SQL query.
Use $super-data-analytics to review this data pipeline.

Compatibility

Works with any AI agent that can read Markdown skill files. Install paths vary by tool.

See INSTALL.md for detailed installation, Download ZIP instructions, and update guidance.

SUPER Skills Series

This repository is part of the SUPER Skills series: standalone, installable agent skills that can be used independently or together.

Published Series Repositories

Repository	Purpose
skills-super	Master catalogue for the full SUPER Skills collection: AI vibe coding skills, agent workflows, and installable Markdown skills.
super-ai-ml-agents	AI agents, agent architecture, tool use, memory, orchestration, multi-agent systems, and guardrails.
super-ai-ml-foundation	Model selection, prompt engineering, RAG, embeddings, vector search, and production-ready AI app design.
super-ai-ml-ops	LLM evaluation, monitoring, cost control, reliability, latency, release gates, and production AI governance.
super-automation	SaaS workflows, API integrations, triggers, permissions, retries, monitoring, and GitHub automation.
super-cloud	AWS, Azure, GCP, infrastructure as code, Terraform, networking, containers, reliability, and cost optimisation.
super-data-analytics	Pipelines, BI dashboards, SQL optimisation, metrics, data quality, and analytics workflows.
super-design-core	UI/UX, product design, design systems, frontend UI patterns, IA, flows, and visual systems.
super-design-quality	Accessibility, WCAG, responsive testing, visual consistency, UI polish, and remediation plans.
super-engineering-devops	Architecture, full-stack implementation, CI/CD, observability, incidents, testing, and reliability.
super-gaming-3d-media	Game engines, Three.js, animation, audio/video workflows, asset pipelines, and performance.
super-healthcare-wellness	Health trend analysis, care workflows, wellness data, safety boundaries, and non-diagnostic guidance.
super-industry-ops	Logistics, manufacturing, procurement, production scheduling, supply chain workflows, and operational quality.
super-legal-hr-compliance	Contracts, policies, HR processes, obligations, internal comms, and non-security regulatory guidance.
super-marketing-execution	Campaign orchestration, CRO, copywriting, analytics, email, social, paid ads, and growth execution.
super-marketing-strategy	Positioning, ICP, product marketing, growth hypotheses, content strategy, launch strategy, and GTM planning.
super-office-docs-presentation	Documents, PDFs, presentations, spreadsheets, documentation systems, templates, and productivity automation.
super-product-business-finance	Market sizing, startup analysis, pricing, monetisation, roadmap decisions, and PM frameworks.
super-security	Security audits, threat modelling, web security testing, application security, API security, and remediation workflows.
super-seo-foundation	Technical SEO, SEO audits, crawlability, indexing, schema, sitemaps, hreflang, Core Web Vitals, and Google tooling.
super-seo-growth	AI SEO, GEO, LLM visibility, content optimisation, programmatic SEO, and citation readiness.
super-specialized-platform-sdks	Shopify, Salesforce, Telegram bots, commerce platforms, CRM/ERP integrations, and messaging workflows.

Start with the skill that matches the task. Use the catalogue when you want to browse the full collection or install multiple skills.

Version

See VERSION and CHANGELOG.md.

Licence

MIT. See the root repository LICENSE.