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This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster).
Passed 19 of 20 test cases with the skill, and 5 of 20 without it.
and 21 more in the full report
15 fixed6 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
When `pipeline_all.py` processes a paper titled `neural_nets`, into which exact subfolder path under `output/neural_nets/` are the generated HTML and style assets saved?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies the subfolder path as output/neural_nets/website/. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill enables the transformation of academic papers into multiple promotional and presentation formats using the Paper2All autonomous pipeline. The system converts research papers (LaTeX or PDF) into three primary outputs:
The pipeline uses LLM-powered content extraction, design generation, and iterative refinement to create high-quality outputs suitable for conferences, journals, preprint repositories, and academic promotion.
Use this skill when:
Trigger phrases:
Converts papers into layout-aware, interactive academic homepages that go beyond simple HTML conversion.
Key Features:
test cases passed, vs 5 / 20 without
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