speak-human-tw

Name: speak-human-tw Review
Item: speak-human-tw
Rating: 3.6
Author: Aaron Matthews

Skill Development Solid

Works inClaude Code

Solid Scanned — metadata only

Detects and removes AI-generated linguistic patterns in Traditional Chinese output, improving readability and authenticity in client-facing documentation, re…

「說人話」：繁體中文的去 AI 味改寫 skill。抓 38 種 AI 寫作痕跡，順手校正中國用語與半形標點，給 Claude Code / Codex / Cursor 用。

Ask Claude to rewrite technical documentation from AI-generated Chinese to natural human language.
Generate code comments in Traditional Chinese without AI writing patterns and formatting artifacts.
Automate conversion of mainland Chinese terminology to Taiwan Chinese conventions in existing content.

898 starsMIT (commercial OK)FreeQuick setup

Why it matters

Detects and removes AI-generated linguistic patterns in Traditional Chinese output, improving readability and authenticity in client-facing documentation, reports, and communications while correcting regional terminology inconsistencies.

Best for

Engineering teams and consultants producing Traditional Chinese documentation, technical writing, or client deliverables requiring natural, authentic language tone.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/Raymondhou0917/speak-human-tw

By Raymondhou0917

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add 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 Raymondhou0917/speak-human-tw

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 from AI-generated Chinese to natural human language

CostFree

Trust Signals Auto-scanned

Stars898Last updated2026-08-27LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-27 · 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): 898 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 Scores

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): 898 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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