Build or update Figma pages, modals, and other composed views from code or descriptions. Reuse existing components, shared color and spacing values, and styles, assembling and checking the design section by section.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Recreate an application page in Figma from code
- Build a landing page using an existing design system
- Create a modal or sidebar from a description
Devin-AXIS/iPolloWork☆ 7.1천2026년 10월 19일 업데이트
Turn a Figma design into code that fits an existing project. Reuse its components and shared style values, follow designer notes and component mappings, and adapt Figma's reference output to the project's framework and conventions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Implementing a screen from a Figma design
- Reusing existing project components in a design implementation
- Applying designer notes and shared style values
Devin-AXIS/iPolloWork☆ 7.1천2026년 10월 19일 업데이트
Find repeated interface elements and shared visual values, then turn them into reusable components and design tokens, named values for colors or spacing. Update existing uses and document the additions within the project's design system.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Consolidating repeated buttons and cards
- Turning colors and spacing into shared tokens
- Unifying inconsistent interface components
fengshao1227/ccg-workflow☆ 5.9천2026년 10월 19일 업데이트
Analyze Excel data by classifying items, calculating counts and percentages, and comparing categories across groups. Identify values above related limits, then produce a pie chart and an Excel statistics file with download links.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Summarizing category counts and percentages
- Comparing categories across regions or other groups
- Finding values that exceed related limits
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
Process multi-sheet Excel data by finding columns through keywords and counting specified values. Clean text fields to retain Chinese characters, then export the processed data as an Excel file with its size and download link.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Finding a target column by a keyword in its name
- Counting specified values across Excel sheets
- Extracting Chinese characters from mixed text
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
Clean data across multiple Excel sheets, compare totals between sheets, and summarize categories and proportions. Create charts and export a formatted workbook with unusual values highlighted for review.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Comparing totals across Excel sheets
- Cleaning inconsistent text and blank cells
- Charting category counts and proportions
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking missing values and category counts in a selected sheet
- Extracting numeric pairs from selected rows and columns
- Creating a scatter plot with a straight trend line
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
Group Excel figures by department or product line, assign performance tiers, and calculate projections using growth rates set for each tier. Compare current and projected values in charts and summarize overall growth for target setting.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Setting sales targets by department
- Estimating production targets by product line
- Comparing projections under tier-specific growth assumptions
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
Filter Excel data using candidate column names, RGB color values, text prefixes, and regular expressions, which match text patterns. Calculate totals and averages, then export results to Excel with highlighted rows and a download link.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Filtering rows by RGB values or identifier prefixes
- Converting text to numbers and calculating totals or averages
- Extracting matching commands with their identifiers and descriptions
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
Analyze numerical data in Excel with box plots and an outlier summary. Extract error values from text containing the ± symbol, chart their distribution, and export statistical results as a CSV report.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Compare numerical distributions across spreadsheet columns
- Count outliers using the interquartile range
- Extract error values from text and chart their distribution
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
Analyze Excel workbooks across multiple sheets, locate matching fields, clean values, and compare groups. Produce counts, cross-tabulations that compare categories, charts, and an Excel report with a download link.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Count matching fields across multiple sheets
- Clean numeric values and merged-cell groups
- Compare counts and shares by category
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
Check Excel measurements against limits written in the sheet, highlight rows exceeding those limits and cells containing division errors, and export a summary showing structure names, measured values, limits, and differences.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Find measurements exceeding limits in Excel
- Highlight cells containing division errors
- Export a summary of values exceeding limits
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
Extract numbers from text values containing a specified unit, remove unusable rows, and visualize the distribution. Create a histogram with mean and median markers, plus a dashboard showing frequencies, proportions, and cumulative percentages.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Extract numbers from spreadsheet values containing a unit
- Check a distribution against its mean and median
- Compare value frequencies and proportions
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
Extract text, tables, and chart values from PowerPoint presentations, including image-only slides through image recognition. Use the collected content to search across slides, identify dated events, or calculate ratios from table data.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Search for keywords across every slide
- Extract tables and chart values
- Read slides made entirely of images
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
Combine selected data from multiple Excel sheets, clean numeric values, and extract the highest entries for a chosen metric. Create a ranked Excel report with highlighted columns, borders, column widths, and number formats for easier comparison.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Extract the top entries for a chosen metric
- Combine selected columns from multiple sheets
- Create a ranked Excel report with highlighted values
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
Review test files or suites for missing checks, hidden exceptions, unreliable timing, shared state, and maintenance problems. Get a severity-ranked report with specific locations, explanations, and concrete suggestions for improving the tests.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Reviewing whether existing tests meaningfully check results
- Investigating timing and execution-order risks in tests
- Prioritizing test improvements before editing code
dotnet/skills☆ 5.7천2026년 10월 20일 업데이트
Connect .NET MAUI screens to application data using XAML or C#. Covers compile-time binding checks, change notifications, value conversion, and fallback displays to help implement bindings and investigate screens that fail to update.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Fix screens that do not reflect data changes
- Add compile-time checks to XAML bindings
- Convert and format values for display
dotnet/skills☆ 5.7천2026년 10월 20일 업데이트
Review existing interface animations and tune their timing, movement, scale, blur, and easing—the way speed changes. It matches values to their purpose and checks opening, closing, hover behavior, and staggered sequences against shared motion tokens.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Reviewing existing interface animations
- Adjusting modal opening and closing speeds
- Fixing delays in staggered list animations
Jakubantalik/transitions.dev☆ 5.4천2026년 10월 17일 업데이트
Implement HTTP headers that pass GitHub Actions secrets through environment variables in gh-aw’s copilot engine. This reference explains secret extraction, generated MCP configuration, execution-step settings, and tests for keeping secret values out of configuration files.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Passing API keys to HTTP MCP servers
- Reviewing generated configuration for secret handling
- Supporting secret expressions with default values
github/gh-aw☆ 5.4천2026년 10월 20일 업데이트
Create and edit Obsidian Bases files to organize notes into tables, cards, and lists. Filter notes by tags or properties, calculate values such as days until a deadline, and configure grouping and summaries.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Build a task table with deadlines and status
- Organize books and articles into reading cards
- Create an index of daily notes
breferrari/obsidian-mind☆ 5.4천2026년 10월 18일 업데이트
Extract statistical values from research PDFs for meta-analysis, which combines results across studies. Track each value’s source and confidence, prioritize review, and manage human corrections and final approval in a shared data structure.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Extracting statistics from research PDFs
- Prioritizing uncertain or conflicting values for review
- Tracking human corrections and final approval
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7천2026년 10월 19일 업데이트
Analyze datasets in R or Python, from exploring distributions and missing values to fitting regressions. Produce tables and figures for publication, save scripts and model results, and review the analysis for common problems.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Explore distributions, missing values, and relationships
- Run regressions on cross-sectional or panel data
- Export publication-ready regression tables and figures
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7천2026년 10월 19일 업데이트
Prepare survey and administrative datasets for analysis with Python, R, or Stata. Generate cleaning code to handle missing values, duplicates, outliers, and derived variables, with documented transformations and integrity checks that support reproducible research.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Clean missing values, duplicates, and outliers in survey data
- Merge multiple data sources for analysis
- Prepare panel datasets that track units over time
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7천2026년 10월 19일 업데이트
Run comprehensive quality checks on tabular data (CSV/Excel/TSV/JSON), detecting missing values, duplicates, outliers, format issues, and type inconsistencies to produce an overall score, grade, and actionable suggestions. Triggered when users ask to check data quality, find missing or duplicate values, detect outliers, validate formats, profile data, or clean data.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
zebbern/claude-code-guide☆ 4.7천2026년 10월 20일 업데이트