paper-humanizer
Lzjin426/skills
Academic text polisher and humanizer for Chinese and English research writing. Removes AI-like patterns while preserving factual accuracy. Use when polishing academic text, reducing AI-generated patterns in papers/theses, improving naturalness of research writing while maintaining data integrity, or enhancing scholarly tone without fabricating facts. Supports both Chinese (中文) and English academic texts with configurable tone, field-specific terminology, and strict factuality controls.
agent-acceptance-review
Lzjin426/skills
Use when an agent has produced a task version, implementation, document, plan, research result, or other deliverable that must be independently accepted, rejected, scored, or sent back for iteration.
guided-learning
Lzjin426/skills
Use when the user asks to learn, understand, explain, introduce, or thoroughly understand a concept; says they do not understand; reads or interprets papers; wants to use a method in a paper, project, or experiment; needs prerequisites, learning order, learner-level adaptation, Chinese-first external learning resources, staged resource packs, Wikipedia/Baidu Baike concept baselines, document-anchored teaching, or a learning path for a goal; organizes AI answers or rough notes into knowledge-base prose; or explores research implications.
knowledge-doc-writer
Lzjin426/skills
Research and write Chinese knowledge-base documents for technical, scientific, academic, product, or conceptual topics. Use when the user wants a readable beginner-to-intermediate learning article, encyclopedia-style reference, tutorial-style concept document, Feishu knowledge-base draft, or a rewrite of AI-like fragmented notes into a complete reliable document with sources, diagrams, formulas, examples, and visual planning.
academic-research-suite
Lzjin426/skills
Codex-native Academic Research Skills suite for deep research, academic paper writing, manuscript review, full research-to-paper pipelines, and experiment planning or validation. Use when the user asks for deep research, literature review, systematic review, meta-analysis, research question refinement, academic paper drafting, paper revision, citation or integrity checks, reviewer simulation, peer review, editorial decision letters, research-to-paper workflows, experiment execution planning, statistical interpretation, or human study protocol support. Also use for Claude-style ARS command aliases such as /ars-plan, ars-plan, /ars-outline, /ars-abstract, /ars-lit-review, /ars-citation-check, /ars-disclosure, /ars-format-convert, /ars-revision-coach, /ars-revision, /ars-reviewer, /ars-mark-read, /ars-unmark-read, and /ars-full. This skill vendors ARS role prompts, references, templates, and shared handoff schemas under ars/.
