Recover failed Python tasks by saving the code as a script and running it through the shell. Provides steps to inspect errors and confirm generated files for spreadsheet creation, data processing, and calculations.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Fallback pattern for executing Python code when execute_code_sandbox fails by writing to file and running via shell
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Use this skill when execute_code_sandbox fails during Python code execution, particularly for tasks involving:
When execute_code_sandbox returns an error or fails to produce expected output:
Use write_file to save your Python script to a file:
# Use write_file tool with:
path: "script.py"
content: <your complete Python code as a string>
Use run_shell to execute the script:
# Use run_shell tool with:
command: "python3 script.py"
timeout: <appropriate timeout, e.g., 300 for long-running tasks>
Check the shell output for:
If the script creates output files (e.g., spreadsheets), they will be in the current working directory. Use list_dir to confirm, then read_file to access if needed.
python3 in the shell uses the same environment as the sandboxOriginal code that failed in execute_code_sandbox:
import pandas as pd
data = {'A': [1, 2, 3], 'B': [4, 5, 6]}
df = pd.DataFrame(data)
df.to_excel('output.xlsx', index=False)
print("File created successfully")
Recovery Execution:
write_file with path="generate_spreadsheet.py" and the code above as contentrun_shell with command="python3 generate_spreadsheet.py"list_dirtimeout for complex operations (default 30s may be insufficient)아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Prepare audio stems, the separate parts of a track, for mixing by matching their durations with silence, loops, or crossfades. Verify each generated and processed file before moving to the next production step.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Produce audio in separate stems, meaning individual instrument tracks, and verify each output as you go. Align track lengths with silence, loops, or crossfades, then apply effects, mix a master, and package the files.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Build serverless endpoints that relay external API requests for a dashboard while keeping API keys on the server. Includes Vercel examples for input checks, caching, cross-origin access, and consistent JSON responses.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Produce a master track and separate audio parts through a structured Python workflow. Apply filters and reverb, export WAV files with consistent settings, package them in a ZIP archive, and check that the deliverables meet the requested specifications.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Keep document creation moving when web searches and page retrieval repeatedly fail. The skill preserves the original task, uses the model’s existing knowledge, and clearly identifies information that could not be checked against external sources.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
When Python execution repeatedly fails in execute_code_sandbox, use a file-based alternative: save the script, run it through the shell, and capture results or errors. The guidance covers paths, imports, timeouts, structured output, and optional cleanup.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.