Results for “csv-export”

Finds all places in an area using grid-based Google Places scanning, not just the ones Google surfaces. Supports location or coordinate search, filtering by rating and reviews, and exporting results to JSON, CSV, or an interactive map.

Finds all places matching a query within a radius using grid-based Google Places scanning, with options for ratings, reviews, and map export.

Web scraping inteligente multi-estrategia. Extrai dados estruturados de paginas web (tabelas, listas, precos). Paginacao, monitoramento e export CSV/JSON.

Generates Python code to batch-translate the English column of tab-separated CSV files while preserving the original Chinese column and output format.

Analyze git repositories to build a security ownership topology mapping people to files, compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization.

Parse and generate RFC 4180 compliant CSV that works across tools.

Use when converting CSV-style tabular data into XML for downstream EDirect or XML-based processing.

Exports a timeline.json as a Premiere Pro editor packet, including FCP7 XML, captions, and media, with verification steps.

Finds all places matching a query within a radius using grid-based Google Places scanning, with options to filter by rating, reviews, and open status, and export results to JSON, CSV, or an interactive map.

Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.

Lee y escribe datos en múltiples formatos con Pandas — CSV, Excel, Parquet, JSON, Feather — y elige el formato óptimo según el caso.

Generate an XLSX timesheet with logged hours, hourly rates, per-entry amount formulas, and totals for client billing or payroll.

Process csv processor operations. Auto-activating skill for Business Automation. Triggers on: csv processor, csv processor Part of the Business Automation skill category. Use when working with csv processor functionality. Trigger with phrases like "csv processor", "csv processor", "csv".

Guidance on reading, parsing, and processing various file formats (CSV, JSON, YAML) commonly used in legal and compliance tasks

Merges CSV/TSV data with an InDesign template to generate personalized PDFs like certificates, badges, and catalogs.

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

Creates, edits, and analyzes spreadsheet files using pandas and openpyxl, with formula recalculation via LibreOffice.

Creates, edits, and analyzes spreadsheet files (xlsx, xlsm, csv, tsv) with formulas, formatting, and data cleaning, including recalculation and error checking.

Creates, edits, and analyzes spreadsheet files using pandas and openpyxl, with formula-based calculations and professional formatting standards.

Converts CSV, Excel, or JSON data into a polished, interactive visual report page with KPI cards, charts, data tables, and insights.

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

Read, write, edit, and format Excel files (.xlsx). Create spreadsheets, manipulate data, apply formatting, manage sheets, merge cells, find/replace, and export to CSV/JSON/Markdown. Use for any Excel file manipulation task.

Search, analyze, and engage with X/Twitter from the terminal, including bookmarks, likes, following, trends, and Grok AI analysis, with export to JSON, CSV, or Markdown.

Bulk-import credentials into the Paladin vault from .env files, CSV/JSON exports, Bitwarden, or 1Password — or discover where credentials live. Returns names/kinds/counts only; secret values never enter the agent's context.

Executes GDPR Article 20 data portability requests, covering machine-readable format requirements (JSON, CSV, XML), direct controller-to-controller transfer mechanisms, and scope limitations to data provided by the subject on consent or contract basis. Activate for portability, data export, Art. 20, data transfer queries.

Use for writing, reviewing, debugging, testing, or optimizing Python code that embeds DuckDB, executes analytical SQL, manages DuckDB connections and transactions, builds DuckDB relations, queries Parquet/CSV/Arrow/pandas/Polars inputs, or exports query results. Trigger on connection scope, parameters, replacement scans, materialization, concurrency, extensions, and query plans. Do not use for generic SQL with another engine, DuckDB CLI-only work, server-database administration, dbt-only projects, or dataframe work that does not call DuckDB.

Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder.* objects (GPSData, CameraData, LidarData, ActorTrackData, Trajectory, laneData) and run preprocessing — synchronize, offset correction, crop, normalizeTimestamps, convertTimestamps. Also: compute actor tracks from lidar when no annotations exist, attach camera/lidar mounting + intrinsics, export to MAT/workspace/timetable/script. Use for raw driving dataset files (KITTI, nuScenes, Waymo, Pandaset, ROS/ROS2 bags, .mat, .csv, .mp4) or driving/vehicle/sensor logs that need wrapping. drivingLogAnalyzer (DLA) is OPT-IN ONLY — invoke only on explicit user request ('DLA', 'open in DLA', 'inspect/explore/analyze the recording') or reported sensor problem (sync drift, timestamp mismatch, overlay misalignment). NEVER auto-launch DLA after wrapping (Rule 0). For 'build scenario / export to RoadRunner / drivingScenario / OpenSCENARIO / Unreal / simulate', hand off to matlab-use-scenario-builder.