Skillget

md2video

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  • fs module — File system access in skills/revealjs/scripts/check-charts.js
  • fs module — File system access in skills/revealjs/scripts/create-presentation.js
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SUMMARY

md2video is a small agent-friendly workflow for turning source content into a narrated slide video.

README.md

md2video

md2video is a small agent-friendly workflow for turning source content into a narrated slide video.

What is in this repo

  • prompts/slide-prompt.md: create a reveal.js deck, CSS theme, script.json, and exported PDF under output/<presentation-slug>/.
  • prompts/tts-prompt.md: generate one narration MP3 per slide from script.json.
  • prompts/combine-prompt.md: combine output.pdf and slide MP3s into video.mp4.
  • prompts/script2intro-prompt.md: generate intro.txt from script.json.
  • prompts/thumbnail-prompt.md: generate thumbnail.png from a crafted Qwen-Image prompt.
  • prompts/upload-prompt.md: publish video.mp4 to Bilibili via scripts/upload_bilibili.py.
  • scripts/tts_from_script.py: standalone uv run TTS helper.
  • scripts/combine_video.py: standalone uv run video assembly helper.
  • scripts/thumbnail_from_prompt.py: standalone uv run thumbnail image helper.
  • scripts/upload_bilibili.py: standalone uv run Bilibili uploader; reads login cookies straight from the local browser.

Intended workflow

  1. Start with either a source file such as source.md or a direct text prompt.
  2. Use prompts/slide-prompt.md to create a presentation workspace under output/<presentation-slug>/.
  3. Review the generated presentation workspace and decide whether to continue to the next stage.
  4. Use prompts/tts-prompt.md to create output/<presentation-slug>/audio/slide-XX.mp3 files.
  5. Use prompts/combine-prompt.md to create output/<presentation-slug>/video.mp4.
  6. Optionally use prompts/script2intro-prompt.md to create output/<presentation-slug>/intro.txt.
  7. Optionally use prompts/thumbnail-prompt.md to create output/<presentation-slug>/thumbnail.png.
  8. Optionally use prompts/upload-prompt.md to publish video.mp4 to Bilibili (title/description come from intro.txt, cover from thumbnail.png). The upload publishes directly; --dry-run is available for troubleshooting.

Notes

The prompt files are stage-specific on purpose. Pick the prompt that matches the artifact you want to generate, and keep all outputs for a presentation in the same output/<presentation-slug>/ directory.

Output submodule

Generated presentations live in the ai-video repo, mounted here as the output/ git submodule. Clone with submodules:

git clone --recurse-submodules https://github.com/isomoes-video/md2video.git
# or, in an existing clone:
git submodule update --init

After generating new artifacts, commit and push inside output/ first, then commit the updated submodule pointer in this repo.

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