bahayonghang/latex-thesis-zh
中文 LaTeX 学位论文助手，面向已有 .tex 硕博论文项目与高校模板。用于编译诊断、GB/T 7714、模板/章节结构、术语一致性、绪论/方法/实验/结论主线、文献综述、研究空白、摘要标题、三线表和去 AI 味；英文论文用 latex-paper-en，审稿总评用 paper-audit。
中文 LaTeX 学位论文助手，面向已有 .tex 硕博论文项目与高校模板。用于编译诊断、GB/T 7714、模板/章节结构、术语一致性、绪论/方法/实验/结论主线、文献综述、研究空白、摘要标题、三线表和去 AI 味；英文论文用 latex-paper-en，审稿总评用 paper-audit。
npx skills add https://github.com/bahayonghang/academic-writing-skills/tree/main/skills/latex-thesis-zh中文 LaTeX 学位论文助手，面向已有 .tex 硕博论文项目与高校模板。用于编译诊断、GB/T 7714、模板/章节结构、术语一致性、绪论/方法/实验/结论主线、文献综述、研究空白、摘要标题、三线表和去 AI 味；英文论文用 latex-paper-en，审稿总评用 paper-audit。
This repo contains 2 individual skills — each has its own dedicated page.
English LaTeX paper assistant for existing .tex conference and journal manuscripts (IEEE, ACM, Springer, NeurIPS, ICML). Use for compile diagnosis, venue formatting, BibTeX or Biber checks, grammar, logic, abstract, title, figure, table, pseudocode (algorithm2e, algorithmicx, algpseudocodex), experiment-section review, related-work synthesis, research-gap derivation, journal adaptation, de-AI polish, translation, or submission readiness. Trigger for prompts like "proofread my LaTeX paper", "fix my .tex build", "rewrite related work", "derive research gap", "check booktabs table", "review algorithm2e pseudocode", "改投会议", or "换投期刊". Use latex-thesis-zh for Chinese degree theses, typst-paper for .typ projects, and paper-audit for reviewer-style critique.
Reviewer-style audit and submission gate for academic papers in .tex, .typ, or .pdf. Use for peer-review critique, readiness/gate decisions, blocker triage, revision roadmaps, journal-style reports, and re-audits. Do not use for source editing, sentence polishing, bibliography search, or compile repair.
Agent skill repository discovered by 10x-chat research.
Convert any Claude skill into a ready-to-use Codex skill — automatically. Search by name, fetch, transform, validate, and install in one command.
Agent skill repository discovered by 10x-chat research.
Rust-native fast local code search for coding agents; Zoekt-inspired, JSONL/MCP-ready
Local-first AI document intelligence pipeline with multi-agent solver, deep research, guided learning, and persistent memory — powered by LM Studio.
TODO: Messy Virgo Specific Agents & Skills