Xlsx manipulation
Create, edit, and manipulate Excel spreadsheets programmatically using openpyxl
Skills for your AI
Create, edit, and manipulate Excel spreadsheets programmatically using openpyxl
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
Route data-related requests to the right Monte Carlo skill or workflow. USE WHEN alerts, incidents, data broken, stale, coverage gaps, data quality, or any ambiguous data observability request.
Design, optimize, and test pricing strategies for SaaS products using data-driven frameworks, competitive analysis, and psychological pricing principles.
Set up metrics collection and visualization with Prometheus and Grafana.
Retrieve surface and upper-air weather observations from authoritative APIs and archives with station identity, time, units, and quality flags preserved.
Retrieve numerical weather prediction data from public AWS S3 and HTTP archives using GRIB2 inventories, byte ranges, Herbie, provider fallbacks, and verified caching.
Search, inspect, and run third-party data APIs through one CLI when the environment has no suitable integration.
Use when designing an A/B or split test: define the hypothesis, control and variants, estimate sample size, verify tracking, and predeclare metrics and stopping rules.
Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.
Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.
Automate Amplitude tasks via Rube MCP (Composio): events, user activity, cohorts, user identification. Always search tools first for current schemas.
When the user wants to set up, improve, or audit analytics tracking and measurement.
Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data.
Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.
Spectral vector search using graph Laplacian eigenstructure. Use when cosine/L2 similarity misses latent structure in your embeddings.
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
Azure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations.
Azure Monitor Ingestion SDK for Python. Use for sending custom logs to Log Analytics workspace via Logs Ingestion API.
Azure Monitor Query SDK for Python. Use for querying Log Analytics workspaces and Azure Monitor metrics.