'csv' 검색 결과

Continue file reading and data processing when execute_code_sandbox or read_file fails. This skill runs multiline Python through run_shell, with examples for text, JSON, spreadsheets, PDF and Word documents, plus basic summaries and grouped calculations.

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• Reading text or JSON when read_file fails
• Inspecting Excel and CSV data through Python
• Extracting text from PDF and Word documents

Create, edit, and analyze spreadsheets with formulas, formatting, and visualizations. Preserve existing workbook conventions, keep calculations responsive to input changes, and use formula recalculation and error checks to verify the resulting files.

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• Create a spreadsheet with formulas and formatting
• Update an existing workbook while preserving formulas
• Analyze and visualize Excel or CSV data

Search for social media profiles associated with a person, brand, or business across platforms including Facebook, Twitter, Instagram, LinkedIn, and TikTok. Receive a downloadable CSV with profile links, follower counts, page titles, and description snippets.

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• Research a brand's presence across social platforms
• Find competitors' social media profiles
• Locate creators across multiple platforms

Use DuckDB from MATLAB via Database Toolbox (R2026a+) as a non-math operations engine on large tabular files (CSV/Parquet/JSON) and as a zero-config embedded database. Use when connecting to DuckDB, querying CSV, Parquet, and JSON files directly with SQL, reducing or profiling large data before MATLAB analysis, creating portable development databases, or installing DuckDB extensions. Triggers on: DuckDB, duckdb(), large CSV/Parquet/JSON, file too large for readtable, filter/aggregate at source, deduplicate, reduce before analysis, profile large file, persistent file import, analytical engine, SQL on CSV, SQL on Parquet, SQL on JSON, query CSV with SQL, query Parquet with SQL, run SQL on files, SQL queries on files, query files directly, SQL without database, in-process SQL.

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Read, transform, analyze, and generate Excel and CSV files. Use when a user asks to open a spreadsheet, process Excel data, merge CSVs, create pivot tables, clean up data, convert between Excel and CSV, add formulas, filter rows, or generate reports from tabular data. Handles .xlsx, .xls, and .csv.

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Turn agent activity and transcript token counts into a cost report organized around completed outcomes. Separate estimates from measured spending, examine waste and rework, and export readable HTML with supporting JSON, CSV, and evidence.

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• Reviewing weekly agent spending and completed work
• Comparing costs per completed outcome
• Investigating the cost of loops and rework

Analyze large scientific tables with Vaex, including datasets that exceed available memory. Build calculated columns, filter rows, compute statistics, visualize aggregated data, and convert files while identifying operations that may still require substantial RAM.

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• Computing statistics on tables larger than available memory
• Creating calculated features without storing full columns
• Visualizing large datasets with aggregated grids

Automate lab data tasks in Benchling using its Python SDK and REST API. Import and export sequences, inspect sample inventory, and work with electronic lab notebooks and workflow tasks while checking schemas, permissions, and operation results.

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• Importing DNA sequences from FASTA files
• Auditing sample inventory at a storage location
• Exporting sequences for a specific schema to CSV

Inspect FCS files from flow cytometry, a method for measuring cell properties, using FlowIO. Extract measurement data into NumPy arrays, review channel metadata, export tables, and create FCS 3.1 files for downstream work.

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• Inspect measurement settings and channel labels in FCS files
• Extract measurement data into NumPy arrays or CSV tables
• Read legacy FCS files containing multiple datasets

Collect competitor data from Google Maps, Booking.com, and social or video platforms using Apify Actors, data extraction tools. Compare content, ads, reviews, pricing, and audience metrics, then receive structured results and strategic takeaways.

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• Compare competitors' social posts and video performance
• Benchmark hotel pricing and reviews
• Analyze competitors' ad content

Collect social posts, business listings, reviews, and other web data by selecting from over 55 Apify Actors, ready-made extraction tools. Run the selected tool, summarize results, and export data as CSV or JSON.

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• Building prospect lists from business listings
• Collecting competitor posts and ads
• Gathering reviews for analysis

Turn local Claude Code session history into a personal activity report, cross-checked with local Git history. Generate Markdown and standalone HTML showing project activity, touched files, related commits, and each project's share of compute usage.

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• Explaining Claude Code usage to a manager
• Reviewing monthly activity across projects
• Preparing evidence for a personal performance review

Fill an existing investment banking PowerPoint template with data from Excel, CSV, and other source documents. The workflow maps content to slides, checks figures, formats tables and shapes, and reviews consistency across the finished presentation.

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• Filling a pitch deck template with spreadsheet data
• Updating figures in existing slides
• Fixing table and text formatting

Create and manage Arize datasets for evaluation and experiments using the ax CLI. Import records from files, append examples, inspect dataset versions, and export a chosen version for offline analysis, with checks for field consistency and export completeness.

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• Creating evaluation datasets from files
• Adding examples to an existing test set
• Inspecting dataset metadata and versions

Research stock and cryptocurrency strategies through historical testing, factor analysis, and options pricing. Analyze trading journals, extract rules from profitable trades, and generate reports comparing simulated results with actual trading outcomes.

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• Testing strategies on historical market data
• Comparing predefined predictive factors
• Reviewing trading habits from broker CSV exports

Set up MISP to collect, store, and correlate threat intelligence from multiple feeds. Use PyMISP to automate searches and imports of indicators of compromise, such as suspicious IP addresses and file hashes, and export data for security monitoring tools.

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• Collecting threat indicators from multiple feeds
• Automating MISP imports and searches
• Exporting indicators for security monitoring tools

Build integrations that use Xquik to search X posts, retrieve profiles and followers, monitor accounts, and draw giveaway winners. Includes API authentication, bulk extraction with cost estimates, real-time notifications, and MCP connections for agent access.

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• Searching posts and researching user profiles
• Extracting follower lists for CSV export
• Receiving notifications about account activity

Use shared guidance for gws CLI authentication, command structure, and output formats. It covers checking requests without calling an API, retrieving multiple pages of results, handling files, and protecting sensitive information.

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• Set up authentication for gws
• Choose JSON, table, YAML, or CSV output
• Check requests before calling an API

Analyze large logs, test results, API responses, and files outside the conversation, then return focused findings. It guides agents to save, process, index, and search outputs while limiting how much raw data enters their working context.

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• Extracting errors from large logs
• Summarizing test failures and build warnings
• Inspecting JSON and CSV data

Turns sales and stock data into a reorder plan with quantities, costs, and estimated stockout dates. Prepares supplier purchase orders, email drafts, and accounting memos for later invoice checks, while flagging slow stock and requiring approval before sending.

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• Estimate stockout dates and reorder quantities
• Prepare purchase orders and supplier email drafts
• Keep accounting memos for future invoice checks

Prepare overdue invoice reminders using accounting records and recent payment data. Adjust each message to the customer's payment history, flag possible payments for checking, and send through PayPal or queue email drafts after approval.

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• Checking which customers have overdue invoices
• Adjusting reminders to each customer's payment history
• Checking for recent payments before sending reminders

Build Playwright workflows for collecting website data, filling forms, and saving screenshots or PDFs. Covers multi-page extraction, saved login sessions, and recovery from failures, with script generators for scraping and form automation.

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• Collect product data across multiple pages
• Automate forms and report downloads after login
• Save web pages as screenshots or PDFs

Research prospective customers from public sources, add company and contact details, score their fit, and merge duplicate records. Organize the findings into prioritized lead lists with source information, using CSV, JSON, or Markdown tables.

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• Find companies matching an ideal customer profile
• Add funding and hiring details to lead records
• Score prospects to set sales priorities

Manage files and folders in 飞书 cloud storage, including searches, moves, copies, and sharing settings. Import local documents, spreadsheets, and presentations into online formats, and export cloud documents for local use.

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• Organizing cloud folders
• Reviewing document sharing permissions
• Importing local files as online documents