Process Excel workbooks and generate PDF or Word documents by running Python scripts directly through run_shell. The skill covers multi-sheet edits, formatting, data transformations, document layout, and error handling for complex tasks that can exceed agent step limits.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Transform data across multiple Excel sheets
- Apply spreadsheet formulas and formatting
- Generate PDF checklists and reports with tables
HKUDS/OpenSpace☆ 7.8천2026년 8월 13일 업데이트
Use attached spreadsheets and documents as the primary source for reports and analysis. Identify relevant files, extract needed data, and cite filenames, turning to external searches or clearly labeled estimates only when the supplied material lacks required information.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Preparing a report from an attached Excel file
- Extracting required figures from CSV or PDF files
- Citing the source filename for reported data
HKUDS/OpenSpace☆ 7.8천2026년 8월 13일 업데이트
Helps agents build outputs from supplied reference files by reading, checking, and citing their data first. External searches are reserved for missing details, verification, or tasks that explicitly require current information.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Creating reports from attached spreadsheets
- Building property documents from supplied listing data
- Checking reference files before searching the web
HKUDS/OpenSpace☆ 7.8천2026년 8월 13일 업데이트
Create a related Excel workbook, PNG diagram, and PDF report in one workflow. It allocates execution attempts across stages, checks output files, and provides retries or simpler versions when generation encounters errors.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Preparing a comparison table, diagram, and report together
- Creating a PDF that references spreadsheet findings and diagrams
- Allocating execution attempts across several output formats
HKUDS/OpenSpace☆ 7.8천2026년 8월 13일 업데이트
Recover from failed Excel creation or editing by switching from execute_code_sandbox to shell_agent. It guides clear task descriptions so the agent can install missing libraries, run code, retry errors, and confirm file creation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Continuing Excel creation after a sandbox import error
- Creating a sales report with formulas and sample data
- Building multiple sheets with conditional formatting
HKUDS/OpenSpace☆ 7.8천2026년 8월 13일 업데이트
Check files created or edited by another agent, subprocess, or tool against explicit requirements. Verify the actual location, structure, counts, and key fields, then rerun with absolute paths when the results contradict the completion report.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking files produced by another agent
- Verifying spreadsheet sheets and row counts
- Checking CSV headers and record counts
HKUDS/OpenSpace☆ 7.8천2026년 8월 13일 업데이트
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Reading text or JSON when read_file fails
- Inspecting Excel and CSV data through Python
- Extracting text from PDF and Word documents
HKUDS/OpenSpace☆ 7.8천2026년 8월 13일 업데이트
Run Python through a saved script when execute_code_sandbox or shell_agent repeatedly fails. The workflow writes code to a file, executes it through run_shell, and checks errors and expected outputs such as spreadsheets or documents.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Retrying Python tasks after execution tools fail
- Creating Excel files with a saved Python script
- Checking error output and generated files
HKUDS/OpenSpace☆ 7.8천2026년 8월 13일 업데이트
Organize competitive analysis across six areas, from market structure to competitors’ future plans. Choose the steps relevant to a business decision and turn findings into comparison matrices, sales reference sheets, positioning responses, and threat assessments.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Planning competitive research for an annual strategy review
- Combining scattered competitor research into usable materials
- Preparing sales responses against a specific rival
deanpeters/Product-Manager-Skills☆ 7.6천2026년 10월 16일 업데이트
Update copies of public-company Excel models using financial disclosures and mapped input cells. Deliver an updated workbook or review workbook, with source references, change logs, unresolved items, and implications for estimates and valuation where the model supports them.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Refresh a company model after earnings
- Map financial disclosures to model input cells
- Review changes and their source evidence
openai/plugins☆ 7.5천2026년 10월 8일 업데이트
Create concise, source-backed profiles of public companies, covering business drivers, key metrics, valuation context, and risks. Identify stale or missing evidence and distinguish reported facts from estimates to provide a baseline for further investment research.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Prepare an initial profile of a public company
- Align company facts before valuation work
- Create a compact HTML company tearsheet
openai/plugins☆ 7.5천2026년 10월 8일 업데이트
Build initial research reports on publicly traded companies, connecting an investment thesis with forecasts, valuation, and risks. Organize supporting sources, distinguish evidence from assumptions, and identify missing information and questions requiring further research.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Start research coverage of a publicly traded company
- Organize an investment thesis and evidence that could disprove it
- Plan forecasts and valuation analysis
openai/plugins☆ 7.5천2026년 10월 8일 업데이트
Create 2D sprite animations from an approved character frame. Generate all frames together, normalize their size and alignment, and prepare preview sheets to check consistency before using the animation in a game.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Create an animation from an approved character frame
- Normalize frame size and anchor alignment
- Match the first frame to an existing game sprite
openai/plugins☆ 7.5천2026년 10월 8일 업데이트
Route data analysis requests to focused workflows for metric checks, business decisions, charts, dashboards, and reports. Identify usable data sources and guide the next step, with delivery choices based on the available environment.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Choose a workflow for a broad analytics request
- Investigate conflicting metric definitions
- Start an analysis report from uploaded data
openai/plugins☆ 7.5천2026년 10월 8일 업데이트
Review reports, spreadsheets, dashboards, or other analyses before sharing them or making decisions. Check methods, calculations, charts, and conclusions, then receive a readiness assessment with prioritized fixes, supporting evidence, and limitations that readers need to know.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking a report before sharing it
- Verifying key metrics and comparison periods
- Reviewing charts for misleading presentation
openai/plugins☆ 7.5천2026년 10월 8일 업데이트
Build or refactor SwiftUI screens using component examples for navigation, state, layouts, and controls. The skill guides screen composition, asynchronous loading, previews, and build checks while following existing project conventions and supported operating system versions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Set up tabs, navigation, and sheets in a new app
- Refactor large screens into focused subviews
- Clarify state ownership and dependency sharing
openai/plugins☆ 7.5천2026년 10월 8일 업데이트
Build fire effects in Three.js, including fireballs, moving flame fronts, whirls, and smouldering ground. A reusable module combines rising flames, temperature-based color, smoke, sparks, heat distortion, and shared firelight, with a five-stage demonstration.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Creating held flames and thrown fireballs
- Building expanding walls and rings of fire
- Staging fire whirls with smoke columns
MengTo/Skills☆ 6.9천2026년 10월 18일 업데이트
Build detailed paper surfaces in Three.js for sheets, labels, cards, or shoji panels. Reproduce visible fibres, torn edges, layered thickness, curled corners, ink bleeding, aged edges, and backlit translucency, with additional detail for close-up views.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Creating backlit washi shoji panels
- Adding torn edges and thickness to cards or labels
- Showing paper fibres in close-up views
MengTo/Skills☆ 6.9천2026년 10월 18일 업데이트
Configure n8n nodes by checking which fields each operation needs and which settings reveal additional options. Start with a minimal configuration, validate it, look up unclear properties, and make targeted edits to existing code or text fields.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking required fields when changing a node operation
- Finding why a configuration field is hidden
- Editing part of a long code or text field
czlonkowski/n8n-skills☆ 6.5천2026년 10월 16일 업데이트
Analyze one Excel worksheet by cleaning column names, extracting numbers, and handling gaps from merged cells. Create category counts, percentages, cross-tabulations comparing groups, high-resolution charts, and CSV exports, with Parquet storage for the data.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Clean worksheets containing merged cells
- Summarize category counts and percentages
- Compare groups with cross-tabulations
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트
Analyze large Excel workbooks by totaling values by category and identifying the highest result. The workflow can convert data to Parquet, a column-based storage format, and export a styled Excel report with highlighted results.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Assessing row counts across workbook sheets
- Converting large datasets to Parquet
- Finding the category with the highest total
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
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
Count rows across Excel sheets to assess data size, then analyze an existing Parquet file, a format for storing tabular data. Calculate category counts and percentages, and save the results as an Excel summary and a pie chart.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Counting rows across every sheet in an Excel workbook
- Calculating category counts and percentages from Parquet data
- Creating a pie chart of category proportions
OpenSenseNova/SenseNova-Skills☆ 5.8천2026년 10월 9일 업데이트