Working with Excel files requires knowledge of formulas, formatting, and data analysis. This skill provides comprehensive guidance for creating spreadsheets, performing calculations, and analyzing data with professional standards.

Processing PDF documents manually takes too much time. This toolkit provides comprehensive PDF operations including text extraction, table detection, form filling, and document creation using Python and command-line tools.

Create original music compositions and convert MIDI files to MP3 or WAV audio files. Uses music21 library for intelligent composition and supports both orchestral and electronic music generation with realistic instrument sounds.

Users need expert guidance to understand Logseq's Datascript database architecture for effective knowledge graph management. This skill provides authoritative knowledge of schema design, property types, class hierarchies, and entity relationships.

Users need to extract and query data from their Logseq knowledge graphs. This skill provides a unified Python client library for fetching pages, blocks, properties, and executing advanced Datalog queries against local Logseq graphs via HTTP API or CLI.

Logseq users need clear guidance when transitioning from Markdown files to the Database format. This skill provides step-by-step migration planning, backup strategies, troubleshooting for common issues, and Datalog query examples for validation.

EDN template analysis is time-consuming when done manually. The edn-analyzer skill provides automated structure analysis, quality checks, and comparison features for Logseq database graph templates. It identifies orphaned items, validates structure, and generates actionable reports.

Users need to integrate Claude with their Logseq knowledge graphs for querying and writing data. This skill provides automated connection management across HTTP API, CLI, and MCP Server backends with built-in troubleshooting support.

Building phylogenetic trees from multiple genome assemblies requires complex workflows with many tools. This skill generates ready-to-run, scheduler-aware scripts for the complete BUSCO-based phylogenomics pipeline.

Phylogenetic biogeographic analysis helps researchers understand how species geographic ranges evolved over time. This skill automates the complete BioGeoBEARS workflow from input validation to publication-ready ancestral range visualizations.

Managing complex data workflows across ETL processes, analytics, and feature engineering requires coordinated orchestration and quality enforcement. This skill acts as a CTO-Data role, coordinating data tasks while maintaining 95 percent minimum quality standards.

This skill provides ready-to-use SQLAlchemy 2.0+ patterns for async database operations. It includes type-safe models, CRUD operations, relationships, and performance optimizations for building robust data services.

Data analysis often requires custom Python code for specific datasets and visualization needs. This skill uses AI to generate tailored pandas and matplotlib code that processes your data and creates professional charts in sandbox environments.

Database queries require switching between code editors and terminal windows. This skill lets you execute SQL queries and psql meta-commands directly from your AI assistant without leaving your workflow.

This skill provides safe BigQuery CLI patterns for exploring tables and schemas without accessing sensitive data. It includes INFORMATION_SCHEMA queries, row count checks, and data sensitivity guidelines for responsible data analysis.

Getting web content into your coding workflow is tedious and unreliable. This skill gives Claude instant access to any webpage as clean markdown, screenshots, structured data, or search results.

Load data from S3 safely by staging to a temporary branch first. Verify quality before merging to production. Prevents bad data from reaching your main tables.

Creating data pipelines from scratch requires understanding DAG architecture, materialization strategies, and project structure. This skill guides you through setting up bauplan projects with proper branch safety, SQL first-node patterns, and Python transformation models.

MEV trading requires precise liquidity analysis to avoid excessive slippage and failed transactions. This skill provides systematic workflows and formulas for calculating price impact, estimating slippage, and validating trade profitability before execution.

MEV infrastructure requires precise latency monitoring to maintain competitive edge. This skill provides per-call and aggregated latency tracking to identify bottlenecks, debug slow operations, and set alerting thresholds for performance anomalies.