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Clean Chinese AI-sounding writing with Shuorenhua

Rewrite Chinese-first chat, status, docs, and public-writing drafts to remove AI-like phrasing while preserving facts, commands, numbers, terms, and responsibility.

What is Clean Chinese AI-sounding writing with Shuorenhua?

Clean Chinese AI-sounding writing with Shuorenhua is a Claude Code agent skill that rewrite Chinese-first chat, status, docs, and public-writing drafts to remove AI-like phrasing while preserving facts, commands, numbers, terms, and responsibility.

Works with✓Claude Code✓Codex CLI✓Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/clean-chinese-ai-sounding-writing-with-shuorenhua
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Documentation

What does Clean Chinese AI-sounding writing with Shuorenhua do?

Rewrite Chinese-first chat, status, docs, and public-writing drafts to remove AI-like phrasing while preserving facts, commands, numbers, terms, and responsibility.

Prerequisites

Codex, Claude Code, Cursor, ChatGPT, OpenClaw, or another agent runtime that can load a SKILL.md file

Installation

Install or set up from the source-backed instructions:

For Claude Code, run /plugin marketplace add MrGeDiao/shuorenhua and /plugin install shuorenhua@shuorenhua. For Codex, clone the repo and run codex exec -C . "读取 ./SKILL.md，按其中规则改写以下文本：...". Runtimes with the skills CLI can run npx skills add MrGeDiao/shuorenhua.

Documentation

Source

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Add Claude design-system and accessibility workflows with UX/UI

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Add graph-backed memory and context retrieval to agent workflows

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Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

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Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

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