research-paper-writing

To automate ML paper writing, this skill provides end-to-end pipeline guidance from experiment design to drafting and submission. It uses structured templates, programmatic citations, and reproducibility conventions to generate conference-ready manuscripts for NeurIPS, ICML, and ICLR.

Managing BibTeX citations and LaTeX formatting is handled through integrated references and reproducibility templates. The workflow supports programmatic citation workflows, LaTeX-friendly document structures, and standardized figure or table conventions for ML manuscripts.

The best way to structure a literature review is using the skill's structured templates and prompts. It guides scalable literature review generation, iterative refinement, and abstract-to-discussion structuring tailored to specific venue requirements like ACL or AAAI.

Yes, you can generate reproducibility appendices and experiment design templates for ICLR. The skill implements reproducibility templates, experiment monitoring guidance, and venue-specific checklists to ensure your submission meets conference reproducibility standards.

Yes, the paper-writing workflow supports iterative drafting and revision. It implements frontmatter-driven discovery and iterative refinement processes, allowing you to feed experimental results and progressively refine the full draft into a submission-ready story.