Claude Skills by Clay-HHK

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

Use ONLY when creating NEW registrable components in ML projects that require Factory/Registry patterns. ✅ USE when: - Creating a new Dataset class (needs @register_dataset) - Creating a new Model class (needs @register_model) - Creating a new module directory with __init__.py factory - Initializing a new ML project structure from scratch - Adding new component types (Augmentation, CollateFunction, Metrics) ❌ DO NOT USE when: - Modifying existing functions or methods - Fixing bugs in existi...

This skill should be used when the user asks to "debug this", "fix this error", "investigate this bug", "troubleshoot this issue", "find the problem", "something is broken", "this isn't working", "why is this failing", or reports errors/exceptions/bugs. Provides systematic debugging workflow and common error patterns.

Standardized tmux experiment monitoring with progress parsing, CSV log reading, and status reporting

Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.

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.

计算机论文草稿终审与分层重写工作流。先逻辑后语言：检查全文章节结构 → 章节内部逻辑 → 跨章节一致性 → 写作风格 → 摘要逐句功能 → 图表 → 投稿前 sanity check。问题按 P0/P1/P2 分级。适用于 NeurIPS/ICML/ICLR/KDD/CCS/USENIX/SIGMOD/VLDB/IEEE Transactions 等顶会顶刊。Use when 用户请求论文终审、逻辑诊断、分层重写、投稿前检查，或在草稿已成形阶段进行系统性修改。

Daily coding assistant that auto-triggers when writing/modifying code, providing a core checklist. ✅ Trigger scenarios: - Implementing new features, adding code, modifying existing code - User requests "write a...", "implement...", "add...", "modify..." - Any coding task involving Edit/Write tools ❌ Does not trigger: - Pure reading/understanding code (no modification intent) - Already covered by specialized skills (bug-detective, architecture-design, tdd-guide) - Configuration file changes,...

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

从论文中提取图片，优先从arXiv源码包获取真正的论文图

Roleplay as the "Armchair Executioner" — a maximally destructive, minimally accountable peer reviewer. Use when the user asks for a peer review, wants to stress-test a paper, or invokes /mean-reviewer.

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, conducting literature reviews, finding related work, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, citation verification workflows, and paper discovery/evaluation criteria.

深度分析单篇论文，生成详细笔记和评估，图文并茂

Paper editing with built-in style constraints for academic writing quality, including anti-AI detection, LaTeX validation, and figure standards

在已整理的论文笔记中搜索相关内容

This skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.

This skill should be used when the user asks to "prepare conference presentation", "create presentation slides", "design poster", "make academic poster", "write promotion content", "create Twitter thread", or mentions post-acceptance conference preparation. Provides comprehensive workflow for presentation, poster, and promotion content creation.

This skill should be used when the user asks to "analyze experimental results", "generate results section", "statistical analysis of experiments", "compare model performance", "create results visualization", or mentions connecting experimental data to paper writing. Provides comprehensive guidance for analyzing ML/AI experimental results and generating paper-ready content.

Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.

Address reviewer/editor comments by number with localized, traceable edits. Use when the user provides numbered reviewer concerns, editor proof queries, or revision lists and asks to "address comment N", "fix W1-W4", "respond to editor queries", etc. Complements review-response (rebuttal drafting) and paper-edit (style enforcement).

This skill should be used when the user asks to "analyze skill quality", "evaluate this skill", "review skill quality", "check my skill", or "generate quality report". Evaluates local skills across description quality, content organization, writing style, and structural integrity.

论文阅读工作流启动 - 生成今日论文推荐笔记

Pull pending documents from Toss inbox using natural language. Downloads all pending files or lists inbox without downloading.

Push local files to a Toss recipient using natural language. Extracts files, recipient, and optional message from the user's intent.

This skill should be used when the user asks to "verify code", "run verification", "check quality", "validate changes", or before creating a PR. Provides comprehensive verification including build, type check, lint, tests, security scan, and diff review.

Use when ingesting arXiv papers into a project-local Zotero library, building a fresh Zotero collection tree for a research project, the Zotero free-tier 300 MB cloud quota is full ("File would exceed quota" / 413 Request Entity Too Large on attachment upload), the user wants PDFs to live alongside project files rather than in Zotero cloud, or the user asks to "把论文加进 Zotero / 建立 Zotero 分类 / set up related_work folder with Zotero".