qinglele-hy/codex-chinese-technical-writing-skill

chinese-citation-ready-writing

Use when the user wants finished Chinese prose for thesis sections, research background, significance, course reflections, experiment summaries, or report paragraphs; prioritize concrete cases, measurable indicators, citation-friendly wording, and directly…

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How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/qinglele-hy/codex-chinese-technical-writing-skill --skill chinese-citation-ready-writing

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

Chinese Citation-Ready Writing

Core Workflow

  1. Identify the requested genre: thesis section, research background, significance, literature-style discussion, lab reflection, course summary, or report paragraph.
  2. Extract the user's concrete topic, method, system, dataset, project, or experiment name.
  3. Write the finished Chinese text directly unless the user asks for an outline.
  4. Anchor the prose in concrete evidence:
  • cases,
  • numbers,
  • measurable indicators,
  • engineering constraints,
  • comparison dimensions,
  • task-specific terminology.
  1. For thesis-like writing, connect claims to citation-friendly metrics such as accuracy, recall, missed detection rate, false detection rate, mAP, FPS, latency, dataset scale, or deployment constraints.
  2. For short lab reflections, use a formal but natural three-part flow: what was practiced, what problems were encountered, and what was learned.
  3. Revise toward the user's tone corrections quickly; avoid repeating generic policy or textbook background.

Decision Rules

  • Produce submit-ready Chinese, not meta-analysis about how to write.
  • Avoid empty claims such as "it is very important" unless followed by a concrete reason.
  • Prefer specific technical nouns over broad slogans.
  • If source material is provided, stay close to its topic and structure.
  • When citations are needed but source citations are unavailable, write citation-compatible wording without inventing fake references.
  • For undergraduate or course writing, keep the style formal, practical, and believable.

Common Shapes

  • Thesis background and significance: start from the real problem, describe current bottlenecks, introduce the method, then state practical and research value.
  • Literature-style paragraph: compare methods by metrics and scenario fit.
  • Lab reflection: describe operation, debugging, and capability gained.
  • Project summary: state system function, implementation path, test result, and limitations.

Verification

  • The text is in polished Chinese and can be pasted directly.
  • The topic matches the user's actual project or experiment.
  • At least one concrete case, metric, or task-specific detail supports the main claim when the task is thesis-like.
  • No fake citations or unverifiable reference numbers were invented.
  • The output avoids generic filler and repeats only what is useful.

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