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FenngA style guide and AI skill for precise Chinese technical writing
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A reusable writing skill addresses common pitfalls in Chinese technical documentation and product copy, such as vagueness, promotional language, and poor readability with mixed scripts. It targets engineers and technical writers seeking to improve accuracy, conciseness, and clarity in Chinese technical content, offering a direct-use standard or reference.
How It Works
This project provides a curated set of rules focused on high-frequency issues in Chinese technical writing. Key principles include standardizing Chinese quotation marks to 「」, avoiding direct address terms (你, 您, 同学), implementing proper spacing between Chinese, English, and numbers, and eschewing mechanical translations of common English status words. It also discourages internet jargon and ensures button copy reflects user actions, prioritizing mobile readability. This rule-based approach offers a concrete method for enhancing consistency and quality.
Quick Start & Requirements
Installation into a "Codex" environment is recommended via Git clone:
CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
mkdir -p "$CODEX_HOME/skills"
git clone --depth 1 --branch <release-tag> https://github.com/Fenng/tech-doc-style-chinese.git "$CODEX_HOME/skills/tech-doc-style-chinese"
Development can use a direct directory copy. A zero-dependency Python linting script (scripts/lint_copy_rules.py) is available for local checks. Official documentation is available in NoCode-Skill.md.
Highlighted Details
id, http), specific abbreviations (JS, H5), AI terminology (llm, aigc), and common Chinese typos.references/Project-Overrides.md), maintaining core skill reusability..github/workflows/skill-lint.yml) for automated linting on pull requests and pushes.Maintenance & Community
No specific details regarding maintainers, sponsorships, or community channels (like Discord/Slack) are provided in the README.
Licensing & Compatibility
The project is released under the MIT License, which is permissive and generally suitable for commercial use and integration into closed-source projects.
Limitations & Caveats
This skill is not intended for machine-readable identifiers such as code literals, JSON keys, URLs, API paths, or database field names. Its primary application is within a "Codex" environment, although the linting script offers standalone utility for style checks.
1 week ago
Inactive
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