Humanize Chinese
sickn33/agentic-awesome-skills
Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion.
Rewrite or draft Chinese technical prose with fewer abstract noun piles, circular definitions, unexplained acronyms, and vague relationship claims.
$ npx skills add yuema137/DongbeiGPT --skill plain-chinese -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yuema137/DongbeiGPT plain-chinese --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/yuema137/DongbeiGPT.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/plain-chinese .claude/skills/plain-chinese && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "plain-chinese" agent skill from https://github.com/yuema137/DongbeiGPT/tree/main/skills/plain-chinese into .claude/skills/plain-chinese/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plain-chinese", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/yuema137/DongbeiGPT/tree/main/skills/plain-chineseType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add yuema137/DongbeiGPT --skill plain-chinese -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yuema137/DongbeiGPT plain-chinese --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yuema137/DongbeiGPT.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/plain-chinese .agents/skills/plain-chinese && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "plain-chinese" agent skill from https://github.com/yuema137/DongbeiGPT/tree/main/skills/plain-chinese into .agents/skills/plain-chinese/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plain-chinese", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yuema137/DongbeiGPT --skill plain-chinese -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yuema137/DongbeiGPT plain-chinese --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yuema137/DongbeiGPT.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/plain-chinese .cursor/skills/plain-chinese && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "plain-chinese" agent skill from https://github.com/yuema137/DongbeiGPT/tree/main/skills/plain-chinese into .cursor/skills/plain-chinese/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plain-chinese", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/yuema137/DongbeiGPT.git --path skills/plain-chinese--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add yuema137/DongbeiGPT --skill plain-chinese -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yuema137/DongbeiGPT plain-chinese --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yuema137/DongbeiGPT.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/plain-chinese .gemini/skills/plain-chinese && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "plain-chinese" agent skill from https://github.com/yuema137/DongbeiGPT/tree/main/skills/plain-chinese into .gemini/skills/plain-chinese/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plain-chinese", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install yuema137/DongbeiGPT plain-chineseInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add yuema137/DongbeiGPT --skill plain-chinese -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yuema137/DongbeiGPT.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/plain-chinese .github/skills/plain-chinese && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "plain-chinese" agent skill from https://github.com/yuema137/DongbeiGPT/tree/main/skills/plain-chinese into .github/skills/plain-chinese/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plain-chinese", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yuema137/DongbeiGPT --skill plain-chinese -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yuema137/DongbeiGPT plain-chinese --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yuema137/DongbeiGPT.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/plain-chinese .opencode/skills/plain-chinese && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "plain-chinese" agent skill from https://github.com/yuema137/DongbeiGPT/tree/main/skills/plain-chinese into .opencode/skills/plain-chinese/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plain-chinese", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
plain-chineseRewrite or draft Chinese technical prose with fewer abstract noun piles, circular definitions, unexplained acronyms, and vague relationship claims.
Plain Chinese is an agent skill from yuema137/DongbeiGPT. Rewrite or draft Chinese technical prose with fewer abstract noun piles, circular definitions, unexplained acronyms, and vague relationship claims. Use independently for plain technical Chinese; preserves established English jargon according to audience familiarity.
Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/common-technical-jargon.md`, `references/jargon-rewrites.md` and `references/terminology-policy.md`).
The repository describes itself as: Explain tech and coding problems in clear, plan language. The licence is MIT.
Read from SKILL.md and the folder at commit 3f72262. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Plain Chinese loads about 633 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 281 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from yuema137/DongbeiGPT at commit 3f72262, republished under its MIT licence (© yuema137). 281 words, ~633 tokens.
.claude/skills/plain-chinese/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Reduce prose burden without reducing technical content.
Replace abstract subjects with actors and actions. Turn named relationships into visible consequences. Break long qualification chains. When a sentence says a framework “enables” something, state what sends, stores, waits, calls, or changes.
Apply an aloud test to the Chinese around necessary jargon: would a technically competent person naturally say this sentence to a colleague? Rewrite compressed inventions such as “同步强杀”, “语义闭包”, “能力外置”, or “执行态持久化” unless they are exact source terms that the reader must recognize. Short four-character compounds are not automatically plain language. Prefer ordinary clauses: “不是一调用就立刻停掉”, “把这条规则从代码里拿出来,让配置传进来”, “先把结果写到 watchdog 能读到的文件里”.
Necessary jargon may remain as an exact island inside an otherwise natural sentence. Do not make every word around it sound like documentation.
Do not use Chinese em dashes (——) to wedge definitions or side notes into a spoken explanation. People rarely talk in nested punctuation. End the sentence, use a comma or colon, or explain the term in the next short clause. Parentheses are acceptable for exact notation, but do not use them to hide another long sentence.
Apply the audience-aware terminology contract in references/terminology-policy.md. When a concrete term needs classification, consult the human-calibrated references/common-technical-jargon.md. Preserve established English terms; this is not a jargon-translation system.
During revision, flag:
Keep the user's requested precision and length. Do not turn every answer into a lesson.
For representative rewrites, read references/jargon-rewrites.md.
© yuema137, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in skills/plain-chinese of yuema137/DongbeiGPT.
Open the folder on GitHubat commit 3f72262
Plain Chinese next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Plain Chinese this skillyuema137/DongbeiGPT | 100 | — | ~633 | Automated safety check: Pass | MIT | |
| Humanize Chinesesickn33/agentic-awesome-skills | 47k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Abstractbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~495 | Automated safety check: Notes | Custom licence | |
| Rewrite Plannexu-io/open-design | 100k | — | ~511 | Automated safety check: Pass | Apache-2.0 | |
| Beautiful Prosesickn33/agentic-awesome-skills | 47k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | |
| RewriteNxcoreAI/EverRoom | 3k | — | ~124 | Automated safety check: Pass | Custom licence |
sickn33/agentic-awesome-skills
Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion.
brycewang-stanford/Auto-Empirical-Research-Skills
Reads the manuscript and notebooks to generate a structured abstract.
nexu-io/open-design
Author a long-running multi-file rewrite plan that subsequent patch-edit + diff-review + build-test stages will execute, with explicit ownership boundaries and patch-safety guarantees.
sickn33/agentic-awesome-skills
A hard-edged writing style contract for timeless, forceful English prose without modern AI tics.
NxcoreAI/EverRoom
Rewrite only the supplied selectedText per the instruction and return the replacement fragment.
static-web-server/static-web-server
Write or edit human-readable text for the Static Web Server (SWS) project — commit messages, CHANGELOG entries, PR descriptions, issue bodies, rustdoc comments, CLI help text, READMEs, and user docs…
yuema137/DongbeiGPT
Add a small worked technical example, before/after trace, diagram, or structure-preserving analogy to an explanation.
yuema137/DongbeiGPT
Explain technical concepts in Chinese through concrete causal structure, before/after mechanisms, boundaries, and trade-offs.
yuema137/DongbeiGPT
Explain technical or otherwise complex material clearly in Chinese using causal structure, audience-aware terminology, a useful worked example, and restrained Northeastern conversational rhythm.
yuema137/DongbeiGPT
Apply a restrained, widely understandable Northeastern-Chinese conversational rhythm to an existing Chinese explanation.
Rewrite or draft Chinese technical prose with fewer abstract noun piles, circular definitions, unexplained acronyms, and vague relationship claims. Plain Chinese is an agent skill from yuema137/DongbeiGPT. Rewrite or draft Chinese technical prose with fewer abstract noun piles, circular definitions, unexplained acronyms, and vague relationship claims.
Run `npx skills add yuema137/DongbeiGPT --skill plain-chinese -a claude-code`. Or copy the skill folder (skills/plain-chinese in yuema137/DongbeiGPT) into .claude/skills/plain-chinese in your project. Claude Code loads it when a task matches its description.
Run `npx skills add yuema137/DongbeiGPT --skill plain-chinese -a codex`. Or copy the skill folder (skills/plain-chinese in yuema137/DongbeiGPT) into .agents/skills/plain-chinese in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yuema137/DongbeiGPT --skill plain-chinese -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/plain-chinese, .gemini/skills/plain-chinese, .github/skills/plain-chinese and .opencode/skills/plain-chinese in your project.
SKILL.md names no scripts, command-line tools or credentials: Plain Chinese is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Plain Chinese is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 633 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Plain Chinese: Humanize Chinese (sickn33/agentic-awesome-skills, 47k stars), Abstract (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars), Rewrite Plan (nexu-io/open-design, 100k stars) and Beautiful Prose (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
yuema137 (a GitHub user) maintains it in yuema137/DongbeiGPT, which has 100 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 1, 2026.
Source: yuema137/DongbeiGPT on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.