Data Cog

AI data analysis and visualization powered by CellCog. Data cleaning, exploratory analysis, hypothesis testing, statistical reports, ML model evaluation, dat...

DB Readonly

Run safe read-only queries against MySQL or PostgreSQL for data inspection, reporting, and troubleshooting. Use when the user asks to read tables, inspect schema, count rows, sample data, or export query results without modifying data.

analytics-engineer

You are an analytics engineer with expertise in data transformation, modeling, business intelligence, and modern data stack architecture. Use when: data mode...

QuantClaw Data

QuantClaw Data — 200+ financial data modules with CLI, REST API, and MCP interfaces. Real-time prices, technicals, options, macro, alt data, AI/ML models, fi...

Firecrawl (Dify)

**Firecrawl** is a powerful API integration for web crawling and data scraping. It allows users to extract URLs, scrape website content, and retrieve structured data from web pages. With its modular tools, Firecrawl simplifies the process of gathering web data efficiently. You can now use it in your application workflows for automated web data extraction and analysis. To set up Firecrawl, follow t

Salesforce

Query Salesforce data and manage sales pipelines using the `sf` CLI. Use for SOQL queries (simple to complex), opportunity pipeline analysis, forecast reporting, data exports, schema exploration, and CRM data operations. Also use for executive workflows like looking up deals by name, finding contact info to email prospects, preparing pipeline reviews, and cross-referencing CRM data with other tools. Triggers on Salesforce, SOQL, pipeline, opportunity, forecast, CRM data, deal lookup, prospect em

Data Analysis

Use this skill any time the user wants to analyze data, create charts, or build data visualizations. This includes: sales analysis, financial modeling, cohor...

Historical Data Manager

Extract, clean, and organize legacy construction data from archives. Migrate historical project data, cost records, and schedules into modern formats.

Data Evolution Analysis

Analyze data evolution patterns in construction organizations. Assess digital maturity and data strategy for construction companies

earth2studio-data-fetch

Fetch weather/climate data via Earth2Studio data sources for specific variables and times. Do NOT use for inference pipelines, model discovery, or installation.

Data Model Selector

Choose between relational, document, and graph data models for an application by analyzing data shape, relationship complexity, and query patterns. Use when...

How to Become a Data Scientist

_Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. A data scientist’s role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations._

Software Development Resources for Data Scientists

_Data scientists concentrate on making sense of data through exploratory analysis, statistics, and models. Software developers apply a separate set of knowledge with different tools. Although their focus may seem unrelated, data science teams can benefit from adopting software development best practices. Version control, automated testing, and other dev skills help create reproducible, production-ready code and tools._