Writing Datadata DQL scripts requires platform-specific Starlark syntax and data APIs. This skill guides Claude, Codex, and Claude Code to create query, fetch, DataFrame, and validation workflows.

Teams need a safer way to inspect Datadata sources without building custom API calls. This skill provides guided CLI workflows for metadata, SQL execution, exports, and data-space table management.

New Snowflake users need clear steps for access, keys, and first connections. This skill guides Claude, Codex, and Claude Code through SnowTower onboarding and common fixes.

Database changes can create slow queries, data loss, and unsafe migrations. This skill guides Claude, Codex, and Claude Code through schema, query, index, ORM, and migration reviews.

Teams often need reliable OCR for screenshots, receipts, and image-based tables. This skill guides Claude, Codex, and Claude Code through Scanlume API calls and structured OCR outputs.

Teams need believable database records for development, testing, and demos without exposing customer data. This skill helps create relational seed scripts and ORM seeders with realistic scenarios.

Database schemas are hard to understand when tables, keys, and indexes are scattered across files. This skill turns schema sources into diagrams, documentation, and relationship analysis.

Slow database queries can increase costs and make applications feel unreliable. This skill helps Claude, Codex, and Claude Code review queries, execution plans, and index choices.

Writing correct database queries across SQL, NoSQL, and ORM tools can be slow and error prone. This skill helps Claude, Codex, and Claude Code design, optimize, and explain query patterns.

JSON work often requires validation, reshaping, extraction, and conversion across tools. This skill gives Claude, Codex, and Claude Code practical patterns for common JSON transformations.

Bad records, weak schemas, and unclear rules can slow delivery and hide data quality risks. This skill guides Claude, Codex, and Claude Code through validation checks, reports, and practical fixes.

CSV files often contain inconsistent formats, missing values, duplicates, and large datasets. This skill provides practical workflows for parsing, cleaning, transforming, merging, and analyzing CSV data.

Raw data is hard to interpret without the right chart. This skill helps create clear static and interactive visualizations with practical library examples.

Database code can become slow when queries run inside repeated loops. This skill guides Claude, Codex, and Claude Code toward bulk SQLAlchemy operations, joins, and repository boundaries.

JSON can consume excessive prompt tokens when records repeat the same keys. This skill converts suitable structures into compact TOON and validates format rules.

Data and reporting tasks often need repeatable Python workflows with clear output rules. This skill guides Claude, Codex, and Claude Code through sandboxed analysis, charts, and downloadable document generation.

Teams often need web content in clean formats without writing custom scrapers. This skill guides Claude, Codex, and Claude Code through Firecrawl modes for scraping, search, maps, crawling, extraction, and status checks.

Image review often needs structured visual reasoning, not only a short caption. This skill guides GLM-4V prompts for descriptions, visual questions, OCR, and detail extraction.

Slow database queries harm application reliability and scale. This skill gives practical PostgreSQL patterns for faster queries, safer migrations, and clearer monitoring.

PostgreSQL migrations can pass tests while causing locks, slow scans, or index bloat. This skill gives Claude, Codex, and Claude Code practical patterns for safer schema and query review.