Generate documents through shell scripts when standard tools fail, then locate files saved in nested folders. Covers finding PowerPoint or PDF outputs, copying them to the delivery location, and checking that the resulting files exist and are usable.
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Generate documents via shell commands and locate nested outputs using find.
安装前可以查看交给 AI 代理的指令内容。
Enable reliable file creation (e.g., PowerPoint, PDFs) when direct API or library-based generation fails, ensuring the final artifact is located and moved to the working directory regardless of nested output paths.
shell_agent capability is available for executing scripts.If direct tool invocation fails, delegate file creation to a shell-executed script.
generate_presentation.py or make_doc.sh) that produces the file.Do not assume the file is in the current directory. Shell scripts often create outputs in nested folders (e.g., ./workspace/output/, ./build/).
Use the find command to search the workspace recursively.
Example for PowerPoint files:
find . -type f -name "*.pptx"
Example for PDF files:
find . -type f -name "*.pdf"
Filter results by modification time if multiple versions exist (e.g., -mmin -10).
Once the file path is identified:
Copy the file to the root working directory or the expected delivery location.
cp /path/to/nested/file.pptx ./
Verify the file exists and is non-zero size.
find, check stderr of the generation script for path clues../output/filename.pptx).还没有评价。欢迎分享你的使用感受。
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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.
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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.
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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.
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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.
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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.
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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.
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