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/install cell-spoken-script-polish
Description
Polish Chinese spoken scripts for videos and tutorials by improving fluency, shortening breath groups, marking pauses, and preserving original meaning.
README (SKILL.md)
Spoken Script Polish
Overview
这个 Skill 处理的不是“写什么”,而是“怎么说出来更顺”。
适合:
- 视频口播
- 教程解说
- Talking head
- 直播切片文稿
Quick Start
- 先判断脚本是信息不清,还是只是说起来不顺。
- 按三遍处理:内容、口语化、节奏标注。
- 一切改写都以大声读是否顺为标准。
Workflow
Step 1: Content Check
先确认:
- 事实是否正确
- 步骤是否连贯
- 时长是否合理
Step 2: Oral Rewrite
重点处理:
- 书面语
- 长句
- 过度完整的逻辑连接词
- 一看就像写出来而不是说出来的段落
Step 3: Delivery Pass
按需要标注:
- 停顿
- 重音
- 切屏
- 演示动作
Hard Rules
Do not:
- 只是机械加口头禅
- 为了自然牺牲信息准确度
- 把所有句子都改得碎碎的
Always:
- 以可说性为第一标准
- 缩短呼吸单位
- 保留原意和节奏
Resource Map
- references/oral-rhythm.md
- 口语化改写与节奏处理原则。
Usage Guidance
This skill appears coherent and low-risk: it only contains instructions and small reference docs for polishing spoken Chinese scripts and requests no secrets or installs. Before installing, consider: (1) whether you want the agent to perform fact-checking edits—provide source context or disallow factual changes if undesired; (2) review the referenced GitHub homepage if you want licensing or provenance details; (3) avoid feeding sensitive personal or secret data into the skill, since any model-based rewrite could unintentionally expose or alter such content. Autonomous invocation is normal here, but you can restrict when the agent may call the skill if you prefer tighter control.
Capability Analysis
Type: OpenClaw Skill
Name: cell-spoken-script-polish
Version: 0.1.0
The skill is a text-processing utility designed to polish Chinese scripts for spoken delivery in videos and tutorials. All files, including SKILL.md and references/oral-rhythm.md, contain only benign instructional content and configuration settings focused on linguistic rewriting, with no evidence of malicious code, data exfiltration, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description, SKILL.md, reference doc, and interface YAML all align: the skill's sole purpose is converting written drafts into smoother spoken Chinese; it does not request unrelated binaries, env vars, or external credentials.
Instruction Scope
Runtime instructions are constrained to checking content clarity and rewriting for oral delivery and rhythm. The 'Content Check' step asks to confirm facts and steps; this is reasonable for the purpose but means the agent may rewrite or flag factual issues—users should provide correct context and verify factual edits.
Install Mechanism
Instruction-only skill with no install spec and no code files to execute; nothing will be downloaded or written to disk by an installer.
Credentials
The skill declares no required environment variables, credentials, or config paths, which is proportionate for a text-transformation/polishing skill.
Persistence & Privilege
Skill is not marked always:true and uses default autonomous invocation settings; this is normal and consistent with its scope. It does not request elevated or persistent access.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install cell-spoken-script-polish - After installation, invoke the skill by name or use
/cell-spoken-script-polish - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial public release
Metadata
Frequently Asked Questions
What is 口播脚本打磨?
Polish Chinese spoken scripts for videos and tutorials by improving fluency, shortening breath groups, marking pauses, and preserving original meaning. It is an AI Agent Skill for Claude Code / OpenClaw, with 116 downloads so far.
How do I install 口播脚本打磨?
Run "/install cell-spoken-script-polish" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 口播脚本打磨 free?
Yes, 口播脚本打磨 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 口播脚本打磨 support?
口播脚本打磨 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 口播脚本打磨?
It is built and maintained by cellinlab (@cellinlab); the current version is v0.1.0.
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