humanizer
Skill8 starsChanged 52 days agoMITView on GitHub
去 AI 味的語言路由入口:先判斷「待處理文字」是繁體中文還是英文,再套用 humanizer-tw 或 humanizer-en 的規則改寫。 使用時機:使用者打 /humanizer、說「去 AI 味」「humanize」但沒指定語言,或文字中英夾雜。已知語言時直接用對應的姊妹 skill。 觸發詞:/humanizer、humanize、去 AI 味(語言不限)、中英夾雜。
188 other projects use a version of this.
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- aditya-vermax/skillstheir own version, first seen Nov 8, 2026
- chrisleekr/skillstheir own version, first seen Nov 8, 2026
- xhqing/CommunityManagerAgenttheir own version, first seen Nov 8, 2026
- CloudChef/atlasclaw-providerstheir own version, first seen Nov 8, 2026
- Fractera/Agent-Engineering-Infrastructuretheir own version, first seen Nov 8, 2026
- Fractera/Agentic-Engineering-Infrastructuretheir own version, first seen Nov 8, 2026
Used with
Projects with it also use economy-mode, personal-voice and 10 more.
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Other versions188 projects use a version of this.
Word for word · 0
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Wrote their own version · 188
- NousResearch/hermes-agent★ 262ksame name
- blader/humanizer★ 63ksame name
- QuivrHQ/quivr★ 40ksame name
- The-Vibe-Company/quivr★ 40ksame name
- rommapp/romm★ 14ksame name
- github/gh-aw★ 5.6ksame name
- latitude-dev/latitude-llm★ 4.7ksame name
- github/squad★ 3.4ksame name
- compozy/compozy★ 2.9ksame name
- SRombauts/SQLiteCpp★ 2.8ksame name
178 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository6 other files it gives its agents.
- AGENTS.mdAGENTS.md
- fable-econSkill
- fable-exploreSkill
- good-writing-twSkill
- humanizer-enSkill
- humanizer-twSkill
The file
Files
Humanizer(語言路由入口)
這支 skill 本身不定義規則,只做一件事:判斷待處理文字的語言,路由到對應的去 AI 味 skill。
路由規則
- 先判斷「要被改寫的那段文字」主要是哪種語言(不是看使用者下指令用的語言):
- 繁體中文/中文(含簡體) → 套用 humanizer-tw:13 類 AI 痕跡、OpenCC 漏網清洗、中國用語在地化、防誤殺台灣詞、標註模式、個人風格校準。
- 英文 → 套用 humanizer-en:37 patterns(Wikipedia 基底 33 條+獨立擴充 4 條)、voice calibration、detection guidance、annotate mode。
- 取得完整規則:路由後,用 Read 讀對應的姊妹 skill 取得全部細則再動手——
${CLAUDE_SKILL_DIR}/../humanizer-tw/SKILL.md或${CLAUDE_SKILL_DIR}/../humanizer-en/SKILL.md(同一 plugin 內;${CLAUDE_SKILL_DIR}由 Claude Code 在載入時展開成本 skill 的絕對目錄,不受目前工作目錄影響)。完全遵循該 skill 的工作流與輸出格式(例如中文的<diagnosis>/<rewrite>/<changelog>);本入口不另加格式。 - 中英混合:以「主要語言」為準路由;若兩種語言份量相當,先問一句要以哪邊規則為主,或分段各自套用對應 skill。
注意
- 判語言看的是「要去 AI 味的內容」,不是使用者的指令語言。使用者用中文叫你改一段英文,仍走 humanizer-en。
- 簡體中文先當中文 → humanizer-tw(它本來就處理簡轉繁殘留與在地化)。
- 真的判不準(如極短片段、大量專有名詞)就直接問:「這段要用中文還是英文規則處理?」
已知語言時,直接用
/humanizer-tw或/humanizer-en最直接;本入口是給「不想指定/中英混合」的便利路由。
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