'shell' 검색 결과

Help an agent run terminal commands, follow long-running jobs, retrieve logs, and cancel work. It explains result fields, execution deadlines, retained output, and operating-system differences so the agent can interpret command outcomes and choose appropriate tools.

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• Track a build that continues in the background
• Retrieve command output omitted from the initial response
• Check command outcomes beyond numeric exit codes

Write source files when direct file writing fails on quotes, backticks, or embedded variables in strings. The skill uses a temporary Python script executed through the shell and supports writing several files in one pass.

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• Save TypeScript files containing template literals
• Write scripts with mixed quotes and escape sequences
• Write several problematic files through one Python script

Run TypeScript checks without generating output files, with a fallback when the usual commands fail. The workflow records existing errors, filters diagnostics to changed files, and repeats checks after fixes to assess the modified code.

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• Check TypeScript files after editing
• Retry checks when npx or the local binary fails
• Separate existing errors from changed-file diagnostics

Diagnose file access problems by checking directories, permissions, file headers, and line counts in parallel batches. Also reviews TypeScript imports, fixes duplicates and type-only imports, and checks module exports before retrying the failed operation.

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• Investigate missing files, incorrect paths, and permission errors
• Review multiple source files in parallel batches
• Check CSS and configuration file headers and line counts

Inspect the first few lines of a file and its total line count in one shell call. Combine head and wc -l with a visible separator to check generated or modified files with fewer calls.

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• Checking the beginning and line count of a generated file
• Inspecting a file after edits
• Checking several output files after a build

Gather web information and turn it into an Excel workbook with explicit checks. Handles search failures through delegated research, records sources and missing data, and verifies the saved workbook against requested requirements.

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• Compiling competitor prices into a verified Excel workbook
• Organizing market data with sources and collection times
• Continuing research after repeated search failures

Run Python code directly on the host when repeated e2b sandbox failures block execution. The skill explains saving scripts, launching them through the shell, and checking outputs when an isolated environment is unnecessary.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resume Python work after repeated e2b errors
• Run a saved script to create an Excel file
• Investigate sandbox timeouts and connection failures

Inspect PowerPoint files when standard readers fail by using python-pptx through the shell. Produce structured results showing slide counts, titles, and shape counts to check presentation structure before delivery.

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• Inspecting PowerPoint files that standard readers cannot open
• Checking slide counts against requirements
• Finding slides without titles

Create and edit Excel workbooks by running a complete Python script through the shell. Covers multiple sheets, data entry, formatting, formulas, and saving files when other file-reading or code-execution tools fail.

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• Create an Excel report with multiple sheets
• Apply data and formatting in one script
• Update cells in an existing XLSX file

Continue analysis after repeated tool failures by embedding known data in Python scripts run through run_shell. Save intermediate results as JSON with timestamps and source metadata, creating records that can be checked and reused in later steps.

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• Continuing analysis when search and execution tools fail
• Comparing prices using competitor data already available
• Saving intermediate results for later review

Diagnose Python spreadsheet failures through staged checks of the interpreter, library imports, file access, and basic operations. Minimal test scripts help separate environment problems from errors in the full processing script.

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• Investigating unclear errors returned by run_shell
• Diagnosing spreadsheet scripts that suddenly stop working
• Checking Python setup in a new environment or container

Continue Python tasks after repeated sandbox failures by saving code as a script and running it through the shell, a command interface. The workflow covers execution checks, result retrieval, and optional cleanup.

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• Continuing data processing after repeated sandbox errors
• Saving execution results to files for later retrieval
• Checking script errors and exit codes

Extract text from Word DOCX files with shell commands when python-docx is unavailable. The workflow reads the document’s XML content, removes tags, optionally cleans whitespace, and saves plain text for inspection or further use.

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• Reading DOCX files without python-docx
• Saving Word document text to a text file
• Extracting text where extra packages cannot be installed

Recover from repeated sandbox execution failures by saving Python code to a script and running it through run_shell. Check output, error messages, and exit codes to confirm results or diagnose remaining execution problems.

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• Continuing Python work after two consecutive sandbox failures
• Switching execution methods after persistent timeouts
• Diagnosing script failures through error output

Create Excel files with openpyxl, a Python spreadsheet library, by switching to shell execution when sandbox tools fail. Examples cover cell styling, formulas, merged cells, multiple sheets, error reporting, and checking that the output file exists.

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• Retrying Excel creation after sandbox failures
• Creating spreadsheets with styles and formulas
• Building workbooks with multiple sheets

Extract plain text from Word DOCX files using shell commands first, then switch to Python's built-in ZIP reader if extraction fails or returns nothing. Supports text output without requiring the external python-docx package.

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• Extracting Word text without python-docx
• Retrying DOCX extraction after empty shell output
• Saving DOCX text to a separate file

Choose a programming language for a development task and find the corresponding language guide. This index maps web development, systems programming, automation, and security tools to options including Python, Go, Rust, TypeScript, Java, C/C++, and Shell.

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• Choosing a language for a web backend
• Finding guidance for frontend development
• Comparing languages for systems programming

Investigate unsafe deserialization, where restoring objects from untrusted data can trigger code execution. The skill covers Java, PHP, Python, .NET, Ruby, and related patterns, with detection clues and callback-based checks for confirming execution.

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• Finding serialized data in cookies and request bodies
• Reviewing unsafe object restoration in source code
• Testing deserialization paths with language-specific tools

Create bash scripts for routine Linux administration, including backups, resource monitoring, user management, and log analysis. Templates also cover scheduled tasks, file cleanup, encryption, and network checks, providing starting points for automating recurring maintenance.

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• Automating file and database backups
• Monitoring CPU usage and disk space
• Creating users and checking password expiry

Manage local development servers and APIs with macOS LaunchAgents, which run background processes. Keep servers running after the shell closes, restart them after crashes, inspect logs, and handle occupied ports when starting a service.

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• Keeping a local server running after closing the shell
• Restarting a server automatically after a crash
• Checking server status and logs

Master ShellCheck static analysis configuration and usage for shell script quality. Use when setting up linting infrastructure, fixing code issues, or ensuring script portability.

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Expert in strict POSIX sh scripting for maximum portability across Unix-like systems. Specializes in shell scripts that run on any POSIX-compliant shell (dash, ash, sh, bash --posix).

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Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.

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在 Windows PowerShell 5.1 与 PowerShell 7 中编写和执行稳定命令，重点处理引号、管道符、原生命令参数传递与跨版本兼容。遇到 `--jq`/过滤表达式被 PowerShell 误解析、同一命令在 pwsh5 与 pwsh7 行为不一致、或需要为 pwsh7.3+ 增加参数传递适配时使用此 skill。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.