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OpenLAIROpenLAIR/dr-claw/skills/ml-paper-writing/SKILL.md

ml-paper-writing

Skill1.2k starsChanged 7 months agoLicence not identifiedView on GitHub

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, citation verification workflows, and IEEE/ACM formatting notes.

14 other projects use a version of this, 11 of them edited.

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More talk lately.thin dataabout the whole repository

Dec 2025: 0 mentionsJan 2026: 0 mentionsFeb 2026: 0 mentionsMar 2026: 0 mentionsApr 2026: 1 mentionMay 2026: 0 mentionsJun 2026: 0 mentionsJul 2026: 0 mentionsAug 2026: 1 mentionSep 2026: 5 mentionsOct 2026: 1 mentionNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the OpenLAIR/dr-claw repository that our weekly crawl found: only 8 in all, so this is a hint, not a trend. There is no adoption data for this file yet.

Most recently taken up by

Who's talking about OpenLAIR/dr-claw

The biggest 5 of 8 mentions linking to the repository that our crawl found. Each line is their own headline.

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Talked about on GitHub (8 times).

On GitHub · 8

3 more on GitHub

Used with

Projects with it also use academic-plotting, results-report and 9 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • OpenRaiserSkill

    academic-plotting

    Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.

    Also in 5 projects that use this

  • Galaxy-DawnSkill

    results-report

    This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts into a structured, decision-oriented research report. It assumes strict analysis should come from `results-analysis` first.

    Also in 3 projects that use this

  • OpenRaiserSkill

    brainstorming-research-ideas

    Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on existing work.

    Also in 3 projects that use this

  • AnthropicSkill

    command-development

    This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.

    Also in 3 projects that use this

  • AnthropicSkill

    hook-development

    This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.

    Also in 3 projects that use this

  • luischanciSkill

    research-ideation

    Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset.

    Also in 3 projects that use this

  • +2 more from anthropics

The file

Show its rules and text

We split this skill into the rules it gives an agent

43 rules. 18 are common, 24 are distinctive, and 1 is very specific to this project.

  • 18

    Common

    Most of the 14 edited versions we read keep these.

  • 24

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 14 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

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