899 skills · sorted by relevance
Create one editable Canva design per data row using a brand template with autofill fields. Map columns from files, pasted tables, JSON, or URLs to text and image fields, then receive design links and failure details.
Analyze cryptocurrency wallets using balances, profit and loss, transaction history, and address labels. Profile several wallets together, trace connections across transaction counterparties, compare shared tokens and contacts, and export selected results as CSV.
Extract selected ranges from Excel workbooks with multiple sheets, check missing values, and clean numeric data. Fit a straight trend line, save charts and CSV results, and convert larger tables to Parquet for subsequent analysis.
Check CSV, Excel, TSV, and JSON tables for missing values, duplicates, unusual values, and inconsistent formats. Receive scores across 12 quality dimensions, an overall grade, and practical suggestions for fixing the detected issues.
Parse and generate CSV files with the csv package — stream large files, handle custom delimiters, transform records, validate data, and generate CSV output from objects. Use when tasks involve data import/export, ETL pipelines, processing uploaded CSV files, or generating downloadable reports.
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Select random winners from lists, CSV files, Excel, or Google Sheets. Choose multiple winners without duplicates, exclude previous winners, apply entry-based weighting, and record the selection method and timestamp for review.
Verify documents, spreadsheets, presentations, and web deliverables before sharing them. Combine file checks with inspection of freshly rendered output, and scan for unfinished text to catch clipped content, layout problems, and leftover placeholders.
Build Python workflows for filtering, grouping, joining, and reshaping table data with Polars. Get guidance on migrating pandas code and using lazy evaluation, which optimizes a processing plan before execution, for large datasets.
Use Dask to process tables, numerical arrays, and file collections in pieces across CPU cores or machines. Helps choose data structures, size memory-friendly chunks, coordinate dependent tasks, and diagnose slow or memory-heavy workflows.
Find potential influencer partners across Instagram, Facebook, YouTube, and TikTok using Apify data extraction tools. Collect profile and engagement metrics, assess brand fit and authenticity signals, and present shortlisted candidates in chat or export data as CSV or JSON.
Analyze audiences across Facebook, Instagram, YouTube, and TikTok using Apify Actors, tools that collect platform data. Gather follower, profile, or comment data, summarize audience characteristics and engagement patterns, and return results in chat, CSV, or JSON.
Convert local images, audio, video, documents, and data using tools installed on the computer. Preserves original files, keeps conversion local, and checks outputs for content, format, and relevant quality changes before reporting the result.
Run a saved weekly or monthly report and combine its results with a brief business snapshot. Deliver one briefing with an XLSX workbook, using a connected data source or uploaded files, and reuse the definition for scheduled runs.
Prioritize inbound HubSpot leads using engagement, company fit, urgency, and recent activity. Get a call list with talking points, follow-up email drafts, and proposed call times, with a CSV or pasted-list fallback.
Turn CSV files, pasted data, or query results into an HTML dashboard that opens in a browser. Combine key metrics, interactive charts, filters, and sortable tables in one report, with sample data available when real data is missing.
Analyze git history to map contributors to security-sensitive files, identify reliance on too few people, and find stale areas. Export CSV and JSON results for ownership reviews, graph exploration, and comparison with CODEOWNERS.
Create and edit spreadsheets for budgets and editable tables, including targeted cell updates and added records. Save in ODS by default, or use XLSX when Excel compatibility or supported embedded charts are needed.
Create paper figures and LaTeX comparison tables from experiment data in JSON or CSV files. Save reproducible plotting scripts, use consistent styling, and check rendered figures for readability, fair comparisons, and captions supported by the data.
Create and edit 飞书 spreadsheets, summarize data, build charts, and verify formulas. Adjust formatting, import or export Excel and CSV files, and review version history for routine reporting and financial modeling.
Select random winners from lists, CSV files, Excel, or Google Sheets. Choose multiple winners without duplicates, exclude previous winners, apply entry-based weighting, and record the selection method and timestamp for review.
Analyze git history to map contributors to security-sensitive files, identify reliance on too few people, and find stale areas. Export CSV and JSON results for ownership reviews, graph exploration, and comparison with CODEOWNERS.
Read and summarize local text files, including notes, configuration files, source code, and logs. Extract relevant passages, explain key fields or table columns, and review recent errors in large logs without displaying the entire file.
Turn supplied data into a newspaper-style chart with a takeaway headline, annotations, and source notes. Create line, bar, or range-band charts, which show an interval around a central line, with staggered animation in a single HTML file.
Find input files in confirmed workspace folders, save outputs to explicit locations, and check the results against task requirements. Useful in restricted execution environments where familiar folders may be missing or inaccessible.