shuorenhua
Reduces time spent editing AI-generated Chinese documentation and code comments by removing robotic phrasing, ensuring team communication stays natural and p…
说人话|中文优先的去 AI 味改写 skill:保事实、分场景、改完可直接发。Chinese-first rewrite skill for Codex / Claude Code / Cursor / ChatGPT — removes AI tone, preserves facts.
- Ask Claude to rewrite technical documentation in plain Chinese without AI-style phrasing.
- Generate natural-sounding Chinese error messages and user guides from verbose AI output.
- Transform AI-generated Chinese code comments into concise, human-readable explanations.
Reduces time spent editing AI-generated Chinese documentation and code comments by removing robotic phrasing, ensuring team communication stays natural and professional without sacrificing accuracy.
Engineering teams and technical writers producing Chinese-language documentation, comments, or user-facing copy alongside AI-assisted development tools.
https://github.com/MrGeDiao/shuorenhua
By MrGeDiao
How to Get It
claude plugins install MrGeDiao/shuorenhua
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Rewrite technical documentation in plain Chinese without AI-style phrasing
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 1,310 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 1,310 GitHub stars; contributors unknown; last commit 0d ago; license MIT.