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shuorenhua

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

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.

1,310 starsMIT (commercial OK)FreeQuick setup

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.

Claude Code Claude Cowork Claude Chat

https://github.com/MrGeDiao/shuorenhua

By MrGeDiao

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
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.

First thing to try

After installing, paste this into Claude:

Rewrite technical documentation in plain Chinese without AI-style phrasing
CostFree

Trust Signals Auto-scanned

Stars1,310Last updated2026-08-31LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-31 · scanner v1

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.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.60 / 5.00 SolidEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 1,310 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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