Home / Use cases / Data & analytics
851 skills, subagents, MCP servers, plugins and prompts for data & analytics, ranked on usage. Pick a task to narrow it down.
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "event tracking," "UTM parameters,"…
Admin / analytics dashboard in a single HTML file. Fixed left sidebar,
Launch the interactive web dashboard to visualize a codebase's knowledge graph
A comprehensive analysis skill for summarizing HAMi vGPU metrics from Prometheus-style `/metrics` output. It organizes GPU allocation by node, device, pod, and namespace, and produces clear reports…
Guide for contributing to the Airflow Java SDK (AIP-108). Use this skill
Guide for implementing a brand-new language SDK for Airflow (AIP-108). Use
Draft Apache Airflow commit messages, PR titles and descriptions, or GitHub comments and reviews. Also use for release-note decisions when preparing a contribution.
Databricks specifics for Atlas: the extended binary and login, connection URLs and scope (catalog vs schema), the dev catalog (no Docker), Delta table properties, managed and external tables,…
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file…
Read, create, or edit Excel spreadsheets (.xlsx/.xlsm) — sheet data,
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g.,…
Produce a .xlsx file on disk (headless) instead of driving a live Excel workbook — for managed-agent sessions with no open Office app.
PyTorch runtime, CUDA, and training error resolution specialist. Fixes tensor shape mismatches, device errors, gradient issues, DataLoader problems, and mixed precision failures with minimal…
Use this agent when the user provides a Kaggle competition URL or asks to learn from Kaggle winning solutions. Examples:
Create a Deep Q-Network (DQN) based Snake game using TensorFlow.js with the latest API, implemented in a single HTML file.
Use when the user asks to create, scaffold, or edit Jupyter notebooks