n-tongxue/norman-skill/norman-paper2ppt
Claude Code and agent skill by n-tongxue/norman-skill
- community
Checking that the SKILL.md file is still in the repository.
Turn academic paper PDFs into Chinese research presentations with original figures, optional speaker notes and editable text/image PPTX. Includes embedded helpers and Fig2PPT for Windows, macOS and Linux.
Install
npx vskill@latest install n-tongxue/norman-skill/norman-paper2pptSKILL.md
Norman Paper2PPT
Derive <skill-root> from this SKILL.md location. Select the executable matching the actual host OS and CPU. Before reading a paper or producing slides, run its guide command and follow the complete embedded workflow. Load the required references using read <resource>; list shows logical resource names. The guide confirms missing presentation mode, speaker notes and editable output one question at a time, reusing choices already supplied. All full instructions, references, attribution, helpers, Fig2PPT and runtimes are embedded. Do not search for loose scripts or install Python.
| Host | Executable | |
|---|---|---|
| Windows 10+ x64 | norman-paper2ppt.exe | |
| macOS 14+ Apple Silicon | norman-paper2ppt-macos-arm64 | |
| macOS 14+ Intel | norman-paper2ppt-macos-x64 | |
| Linux glibc 2.17+ x64 | norman-paper2ppt-linux-x64 | |
| Linux glibc 2.17+ ARM64 | norman-paper2ppt-linux-arm64 |
Windows PowerShell:
Mac/Linux: select using the real OS and uname -m. On Apple Silicon under Rosetta, sysctl -n hw.optional.arm64 returning 1 identifies Apple Silicon. Example for Apple Silicon:
The host AI client interprets the paper and generates layouts with its image tool. No AI model is bundled. Optional editable output uses fig2ppt <command> in the same executable and Quick text/images only; load read vendor/norman-fig2ppt/guide.md when selected. Windows assembly/rendering requires local PowerPoint; Mac/Linux require a verified presentation backend and renderer. No separate Python installation or first-run download is needed.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
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Source
- SKILL.md in the repositoryCheckingnorman-paper2ppt/SKILL.md
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