Inspect PowerPoint files with python-pptx when standard readers fail or return incomplete information. Retrieve slide counts and titles, compare them with presentation requirements, and report missing or problematic content without installing PowerPoint.
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Validate PowerPoint files using python-pptx when standard file readers fail
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This skill provides a reliable method to validate PowerPoint (.pptx) files when the built-in read_file function fails or returns insufficient information.
read_file fails to read a .pptx fileAttempt to read the PowerPoint file using read_file. If it fails, returns garbled content, or doesn't provide the structural information you need, proceed to Step 2.
Execute a Python script using run_shell with the python-pptx library to inspect the presentation:
python3 -c "
from pptx import Presentation
prs = Presentation('path/to/file.pptx')
print(f'Total slides: {len(prs.slides)}')
for i, slide in enumerate(prs.slides, 1):
print(f'Slide {i}: {slide.shapes.title.text if slide.shapes.title else \"[No Title]\"}')
"
Analyze the output to verify:
Document the validation findings, including:
# In your agent workflow
run_shell(command="python3 -c \"from pptx import Presentation; prs = Presentation('output.pptx'); print(f'Slides: {len(prs.slides)}'); [print(f'{i}: {s.shapes.title.text}') for i, s in enumerate(prs.slides, 1) if s.shapes.title]\"")
Ensure python-pptx is available in the environment:
pip install python-pptx
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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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