'clean' 검색 결과

Manage ClawHub Convex production data migrations from implementation and testing through deployment, execution, verification, and temporary code removal, with dry runs and explicit user approval before destructive changes and cleanup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Backfilling fields in production data
• Removing obsolete fields or table data
• Repairing ownership and relationships

Runs repeated PR reviews and fixes on the directories changed by the current branch. Uses an installed reviewer, checks editing scope after each round, and reports whether blocking findings were resolved or the loop stopped.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Cleaning up a branch before opening a pull request
• Fixing review findings before updating a pull request
• Repeating reviews after each fix

Analyze and update connected Google Sheets using precise tabs and cell ranges. Find spreadsheets, search rows, clean tables, repair formulas and charts, or create a new spreadsheet from data or an existing template.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clean and restructure an existing table
• Repair formulas and charts
• Create a spreadsheet from a template

Design a calm, dark workspace with frosted glass panels, multiple columns, and floating information cards. Coordinate navigation, framing, spacing, background depth, and subtle motion into a consistent interface that stacks cleanly on smaller screens.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a dark dashboard or workspace
• Arranging navigation and sidebars around a central view
• Unifying glass panels, buttons, and information cards

Prepare conference LaTeX template archives for writing in Overleaf. The skill identifies the main file and dependencies, proposes cleanup for approval, and organizes sections, resources, and a README with submission and compilation guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a conference template for Overleaf
• Remove sample text and reorganize template files
• Separate paper sections into individual files

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

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

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

Clean Excel data and group records with similar numerical features. Produce a combined view of indicator trends, value distributions, category shares, and grouped data, then export the charts as an image and cleaned records as Excel.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing trends across multiple indicators
• Checking value distributions and category shares
• Grouping records with similar numerical features

Organize Excel analysis from reading multiple sheets through cleaning, filtering, aggregation, and export. Choose processing methods based on row counts, and use supporting skills to produce tables, charts, and Excel or CSV reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clean missing values and inconsistent text in Excel
• Filter and aggregate data across multiple sheets
• Analyze large spreadsheets using row-based processing strategies

Correct and improve existing MSTest tests using APIs supported by the installed version. Refine assertions and failure messages, update data-driven tests, fix setup and cleanup, and address MSTest diagnostics while preserving the project's established conventions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Making assertion failures easier to understand
• Correcting expected and actual argument order
• Improving existing data-driven tests

Clean up stored agent state in `.squad/` by compressing histories, pruning old logs, archiving stale decisions, and removing orphaned inbox files. Use it after long sessions or before starting work with many agents to reclaim context space.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing for work that starts many agents
• Cleaning up after long sessions or sprints
• Managing oversized history files or stored state

Find search terms, placements, audiences, and ads that spend money but generate few or no conversions in Google and Meta accounts. The skill prepares uploadable exclusion lists and groups spending by category to help prioritize account cleanup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Cleaning up wasted advertising spend each month
• Auditing an advertising account for a new client
• Reviewing search terms and placements after campaign expansion

Review concrete code changes for defects, compatibility problems, repository-rule violations, and unnecessary code. Produce evidence-based findings and, when explicitly requested, make minimal cleanup changes while checking that existing behavior is preserved.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a pull request or commit range
• Inspecting staged and unstaged changes
• Finding debug residue and duplicate code

Prepare conference LaTeX template archives for writing in Overleaf. The skill identifies the main file and dependencies, proposes cleanup for approval, and organizes sections, resources, and a README with submission and compilation guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a conference template for Overleaf
• Remove sample text and reorganize template files
• Separate paper sections into individual files

Clean survey datasets using their codebooks, which explain variables and response codes. Check missing values and outliers, harmonize variables across years, and prepare combined data with a cleaning report, variable definitions, and recorded transformation history.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking newly downloaded survey data
• Harmonizing variables across survey years
• Preparing panel data for research

Inspect BB storage across machines, identify cleanup candidates, and remove archived files or unused development data. Configure automatic thread archiving and deletion, with previews showing how many threads would be affected before saving retention settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find threads and files using the most storage
• Clean up files from archived threads
• Remove development data for deleted checkouts

Review a branch against main and clean up unnecessary AI-generated code, including excess comments, unusual defensive checks, type workarounds, and deep nesting. Make focused edits that match surrounding code while preserving behavior unless fixing a clear bug.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clean up a branch after AI-assisted coding
• Remove unnecessary comments and defensive checks
• Review any casts used to bypass type issues

Review dependency handling, package downloads, credentials, and deployed file cleanup in APM. The skill defines checks for safe paths, centralized credential access, and refusing content when its integrity or signature cannot be verified.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing dependency resolution and lockfile changes
• Checking package integrity and signature verification
• Inspecting token handling for possible leaks

Review changed code for duplication, quality, efficiency, and clarity. Use review-only mode for findings, or request behavior-preserving cleanup by the main agent, with focused tests or other validation when the chosen mode calls for it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check changed code for reuse opportunities
• Simplify redundant state and complex control flow
• Find duplicate reads and unnecessary computation

Analyze CSV, Parquet, and JSON files to answer questions through grouping, joins, cleaning, time series, and charts. Chooses DuckDB or Polars and a suitable processing location based on the task and available memory.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing and joining data files
• Exploring trends and distributions
• Cleaning data before analysis

Design and implement repeatable workflows that clean, encode, transform, and validate raw data for machine learning. Get a preprocessing plan or implementation outline, with clear steps and guidance on where further checks are needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing raw data for machine learning
• Automating recurring data cleaning
• Planning data extraction, transformation, and loading

Clean up AI-written code by reviewing branch changes against main. Remove unnecessary comments, excessive defensive checks, and casts that bypass type issues, while preserving legitimate changes and matching the surrounding code style.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Removing unnecessary comments from AI-written code
• Cleaning up excessive checks and exception handling
• Reviewing any casts used to bypass type issues

Develop reusable external Holoscan Modules with the Holoscan CLI, from scaffolding and testing to Python bindings and package creation. Verify that applications can use installed packages in a clean environment, with checks for each requested format.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a reusable Holoscan operator module
• Adding and testing Python bindings
• Using an installed module from another application