Extract readable text from PDFs when ordinary file readers return garbled or binary content. The skill guides agents through detecting failed reads and using pdftotext, a command-line PDF text extractor, with layout-preserving options.
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Reliably extract text from PDFs using pdftotext when standard file reading fails.
安装前可以查看交给 AI 代理的指令内容。
Standard file reading tools (e.g., read_file) often fail to extract text from PDF documents. Instead of returning parsed text, they may return:
This occurs because PDFs are complex binary formats, not plain text files. Attempts to parse them using general-purpose Python libraries (like PyMuPDF) in sandboxed environments may also fail due to missing dependencies or environment restrictions.
Use the pdftotext command-line utility (part of poppler-utils) via run_shell. This tool is commonly pre-installed in Linux environments and reliably extracts text content from PDFs.
When attempting to read a PDF:
read_file.\x00), appears as base64, or is clearly binary/garbled, assume standard reading has failed.Run the following shell command using run_shell:
pdftotext -layout -nopgbrk <file_path> -
-layout: Maintains the physical layout of the text (optional but recommended).-nopgbrk: Prevents inserting form feed characters between pages.-: Outputs content to stdout instead of creating a new file.Capture the stdout from the shell command. This string is the extracted text.
Scenario: You need to read document.pdf.
Step 1: Attempt standard read
content = read_file("document.pdf")
if "\x00" in content or not content.strip():
# Fallback needed
pass
Step 2: Fallback to shell
result = run_shell("pdftotext -layout -nopgbrk document.pdf -")
text = result.stdout
pdftotext installed (usually via poppler-utils).pdftotext is not found, attempt to install it (apt-get install poppler-utils) if permissions allow, or notify the user.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.
中文简介正在准备中。当前显示英语简介。
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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