Individual skill
ml-paper-writing
Writes and revises machine-learning papers for NeurIPS, ICML, ICLR, ACL, COLM and AAAI, from a research repository or a set of tracked runs to a compiling LaTeX draft in the venue's template, with the contribution stated as claims backed by experiments, ablations and honest baselines. Use for ML or AI conference papers, workshop papers, camera-ready preparation, and rebuttals. For journal articles and other fields use paper-writing; for references use citations; for figures use figures.
backend/cli/skills/core/ml-paper-writing/SKILL.md
Source commit a08e0ad0ad3d6448123039ee4659163eb2e35d99
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Network or broad shell
- Last checked
- Nov 2, 2026
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Repository context
- Repository stars (not skill ratings)
- 4,353
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
Files and excerpt
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Browse files
SKILL.mdcore · 7,437 bytesassets/templates/README.mddoc · 6,707 bytesassets/templates/aaai2026/README.mddoc · 17,987 bytesassets/templates/aaai2026/aaai2026-unified-supp.texasset · 4,548 bytesassets/templates/aaai2026/aaai2026-unified-template.texasset · 63,140 bytesassets/templates/aaai2026/aaai2026.bibasset · 4,766 bytesassets/templates/aaai2026/aaai2026.bstasset · 30,207 bytesassets/templates/aaai2026/aaai2026.styasset · 11,802 bytesassets/templates/acl/README.mddoc · 2,126 bytesassets/templates/acl/acl.styasset · 11,615 bytesassets/templates/acl/acl_latex.texasset · 14,533 bytesassets/templates/acl/acl_lualatex.texasset · 3,050 bytesassets/templates/acl/acl_natbib.bstasset · 45,186 bytesassets/templates/acl/anthology.bib.txtdoc · 1,169 bytesassets/templates/acl/custom.bibasset · 2,071 bytesassets/templates/acl/formatting.mddoc · 17,923 bytesassets/templates/colm2025/README.mddoc · 51 bytesassets/templates/colm2025/colm2025_conference.bibasset · 496 bytesassets/templates/colm2025/colm2025_conference.bstasset · 26,973 bytesassets/templates/colm2025/colm2025_conference.pdfasset · 122,635 bytesassets/templates/colm2025/colm2025_conference.styasset · 7,727 bytesassets/templates/colm2025/colm2025_conference.texasset · 12,830 bytesassets/templates/colm2025/fancyhdr.styasset · 20,521 bytesassets/templates/colm2025/math_commands.texasset · 12,284 bytesassets/templates/colm2025/natbib.styasset · 45,154 bytesassets/templates/iclr2026/fancyhdr.styasset · 20,521 bytesassets/templates/iclr2026/iclr2026_conference.bibasset · 629 bytesassets/templates/iclr2026/iclr2026_conference.bstasset · 26,973 bytesassets/templates/iclr2026/iclr2026_conference.pdfasset · 200,508 bytesassets/templates/iclr2026/iclr2026_conference.styasset · 9,025 bytesassets/templates/iclr2026/iclr2026_conference.texasset · 16,899 bytesassets/templates/iclr2026/math_commands.texasset · 12,284 bytesassets/templates/iclr2026/natbib.styasset · 45,154 bytesassets/templates/icml2026/algorithm.styasset · 2,223 bytesassets/templates/icml2026/algorithmic.styasset · 7,414 bytesassets/templates/icml2026/example_paper.bibasset · 2,051 bytesassets/templates/icml2026/example_paper.pdfasset · 193,509 bytesassets/templates/icml2026/example_paper.texasset · 29,714 bytesassets/templates/icml2026/fancyhdr.styasset · 31,715 bytesassets/templates/icml2026/icml2026.bstasset · 27,147 bytesassets/templates/icml2026/icml2026.styasset · 27,344 bytesassets/templates/icml2026/icml_numpapers.pdfasset · 2,823 bytesassets/templates/neurips2025/Makefileruns · 1,054 bytesassets/templates/neurips2025/extra_pkgs.texasset · 2,837 bytesassets/templates/neurips2025/main.texasset · 574 bytesassets/templates/neurips2025/neurips.styasset · 11,625 bytesreferences/checklists.mddoc · 10,774 bytesreferences/cs-conference-style.mddoc · 16,214 bytesreferences/ml-conference-style.mddoc · 18,094 bytesreferences/reviewer-guidelines.mddoc · 10,451 bytesreferences/writing-guide.mddoc · 16,297 bytes
Read excerpt
# ML paper writing
An ML paper makes two or three claims and earns each with an experiment a reviewer could
not have predicted the outcome of. Reviewers at these venues read for the claims first,
then hunt for the ablation that would have falsified them. Write the paper the way they
read it.
## Non-negotiables
1. **Write the `.tex` in the venue's template**, in the working folder, and link it. Copy
the class and style files from `assets/templates/<venue>/` beside the draft; keep the
template's `\documentclass`, packages and anonymization mode. A conference class encodes
the rules the submission is checked against.
2. **Claims are numbered and paid for.** The introduction ends with the contributions, each