Results for “data-automation”

Automate geocoding and location data operations via the Opencage API using Composio's toolkit and Rube MCP.

Automate Baserow database operations through Composio's toolkit via Rube MCP, with tool discovery and connection management.

Automate financial data retrieval and analysis using Alpha Vantage via Composio's Rube MCP toolkit.

Automate Turso database operations through Composio's Turso toolkit via Rube MCP, with tool discovery and connection management.

Automate Prisma database operations through Composio's Prisma toolkit via Rube MCP, including tool discovery, connection management, and execution.

Automate InfluxDB Cloud operations like querying, managing buckets, and writing data through Composio's toolkit via Rube MCP.

Automate Snowflake data warehouse operations: list databases, schemas, and tables, execute SQL statements, and manage data workflows via the Composio MCP integration.

Automate Geokeo geocoding and location operations through Composio's Geokeo toolkit via Rube MCP.

Spreadsheet creation, format conversion (ODS/XLSX/CSV), formulas, data automation with LibreOffice Calc.

Spreadsheet creation, format conversion (ODS/XLSX/CSV), formulas, data automation with LibreOffice Calc.

Spreadsheet creation, format conversion (ODS/XLSX/CSV), formulas, data automation with LibreOffice Calc.

Spreadsheet creation, format conversion (ODS/XLSX/CSV), formulas, data automation with LibreOffice Calc.

Automate DataRobot operations through Composio's toolkit via Rube MCP, including tool discovery, connection management, and task execution.

Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions.

Builds a scheduled, AI-powered data collection agent that scrapes public sources, enriches results with Gemini Flash, and stores them in Notion, Sheets, or Supabase.

Designs and implements big data architectures, processes large-scale datasets with distributed systems, and optimizes data pipelines for throughput using Hadoop, Spark, and cloud platforms.

Use this skill for any data or analytics task — querying databases, analyzing metrics, exploring data warehouses, processing datasets, or creating visualizations.

Automate spreadsheet operations including creating workbooks, writing data, formatting cells, upserting rows, and managing worksheets across Microsoft Excel and Google Sheets.

Automates EODHD APIs operations through Composio's toolkit via Rube MCP, with tool discovery and connection management.

Profiles datasets automatically to assess data quality, structure, and completeness, generating reports with ydata-profiling, pandera, or manual pandas methods.

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.

Use this skill for any data or analytics task — querying databases, analyzing metrics, exploring data warehouses, processing datasets, or creating visualizations.

Automate browser tasks, scrape websites, fill forms, capture screenshots, and extract structured data from web pages using Playwright.

Cleans datasets, detects anomalies, generates reports, and creates visualizations using pandas, scikit-learn, and plotting libraries to turn raw data into client-ready deliverables.

Create clear, effective charts and dashboards from structured data using matplotlib, seaborn, and plotly. Use when the user requests data visualization or provides relevant inputs for this workflow.

Automates multi-source enrichment of IPs, domains, URLs, and file hashes using VirusTotal, AbuseIPDB, Shodan, GreyNoise, URLScan.io, and MISP to provide contextual risk scoring and disposition recommendations for SOC analysts.

Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.

Manipulates and analyzes data with pandas, including DataFrames, group operations, and time series.

Clean and preprocess datasets by handling missing values, removing duplicates, correcting types, resolving outliers, and enforcing validation schemas. Use when the user requests data cleaning or provides relevant inputs for this workflow.

Provides a SQLite-backed persistence layer for skill execution metrics, feedback, improvement candidates, and version history, with query and maintenance workflows.