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Agent Skill · 效率

multi-variant-scripting(多变量脚本)

multi-variant-scripting 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

multi-variant-scripting 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 14,861。

总安装 3,269周安装 139GitHub Stars 公开资料未说明下载 1,145核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:multi-variant-scripting(多变量脚本)
来源仓库:https://github.com/nissan/multi-variant-scripting
安装命令:
openclaw skills install multi-variant-scripting
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install multi-variant-scripting

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

根据同一简介生成多种风格的视频脚本变体。multi-variant-scripting 属于效率类 Skill,可作为该场景下的辅助能力补充。服务于内容创作团队快速产出适配不同平台的素材。支持技术解说、影视剧本、演练讲解等模式切换。输出为文本建议,实际拍摄还需配合导演与演员执行。

版权声明需由使用者自行添加,避免法律纠纷。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install multi-variant-scripting;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

multi-variant-scripting 怎么安装?

在终端执行 openclaw skills install multi-variant-scripting。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

multi-variant-scripting 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

multi-variant-scripting 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

multi-variant-scripting 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

multi-variant-scripting 用的人多吗?

公开数据是累计安装 3,269 次,近一周安装 139 次,下载 1,145 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

multi-variant-scripting 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
multi-variant-scripting

多变量脚本 · 本页

3,269—调用外部服务MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
multi-variant-scripting
version
1.0.0
description
Produce 2-4 genuinely distinct video script variants from a single brief — technical/cinematic (A), general/walkthrough (B), developer/explainer (C). Uses interleaved scene-by-scene writing to prevent drift, jargon bleed, and length creep. Includes word count targets and an output checklist for Finn handoff.
metadata

Skill: Multi-Variant Scripting

Owner: Sara Version: 1.0 First used: 2026-03-24 (Reddi Agent Protocol — 3-variant pipeline)


What This Does

Produces 2–4 distinct script variants for the same product from a single brief. Each variant serves a different audience or communication style. Variants must be genuinely distinct — not the same script with synonyms swapped.

When to use this skill: Any time the demo-video playbook calls for 2+ variants. Read this before writing the first word of any script.


The Variant Differentiation Test

Before writing a single scene, define these three things for each variant:

  1. What does this audience already know? (Don't explain what they know — assume it)
  2. What's the ONE thing this variant needs them to feel or understand? (Not a list — one thing)
  3. What's the register? (cinematic / conversational / technical)

If two variants have the same answers to all three → they are not distinct → collapse them into one.

Running this test upfront prevents the most common failure: writing three scripts that tell the same story three different ways, rather than three genuinely different stories about the same product.


Variant Labelling Convention

Use these labels consistently across all projects so Finn knows the production approach without reading the script:

LabelAudienceStyleVO Density
ATechnical or sophisticatedCinematic — minimal VO, UI carries storySparse
BGeneral / accessibleWalkthrough — guided, second personMedium
CDeveloper / architectExplainer — structured, covers architectureDense

Word Count Targets

Check these before calling any script done:

Target LengthNarration Word Count
60s110–130 words
90s160–195 words
2min220–260 words
3min330–390 words

At natural TTS pace: ~130 words/min. Count words in the clean narration section only (no stage directions).


Interleaved Writing Technique

The wrong way: Write A fully → Write B fully → Write C fully

By the time you write C, it has unconsciously borrowed A's metaphors and B's sentence structure. C ends up sounding like a compressed remix of the first two.

The right way (interleaved): Write Scene 1 for A, B, C → Write Scene 2 for A, B, C → continue scene by scene

This forces explicit differentiation at each narrative beat. When you write Scene 2 for C, you've just written Scene 2 for A and B — so you're actively thinking "how is C different here?" rather than just continuing a flow.


Common Failure Modes

Drift

What it is: Writing C after A and B causes C to unconsciously borrow A's metaphors and B's structural patterns. Fix: Use interleaved writing. Never fully complete one variant before starting the others.

Jargon Bleed

What it is: Technical terms written for C leak into B because they were written in the same session. Fix: Before writing, define a jargon whitelist per variant. Terms on C's whitelist should not appear in B. Terms on B's whitelist should not appear in A unless they're genuinely plain-language.

Example:

  • A whitelist: (none — no jargon, let the UI speak)
  • B whitelist: "agent", "automates", "dashboard"
  • C whitelist: "MCP protocol", "orchestrator", "tool-call", "mesh routing"

Length Creep

What it is: All variants drift toward the same word count because the writer fills to a comfortable length. Fix: Count words in the clean narration section after writing each scene. Stop when you hit the ceiling. Tighten, don't pad.


Output Checklist — Before Handoff to Finn

Run this check on all variants together, not one at a time:

  • [ ] Each variant has a clean narration section (narration only — no stage directions, no scene headers)
  • [ ] Word counts checked against length targets (count them, don't estimate by feel)
  • [ ] No variant shares an opening line with another (first sentence must be unique per variant)
  • [ ] Jargon that appears in C does not appear in B
  • [ ] Jargon that appears in B does not appear in A
  • [ ] Screenshot/recording requirements section is complete and specific
  • [ ] "Notes for Finn" section includes timing gotchas, transition notes, any unusual assembly requirements
  • [ ] Differentiation test re-run on final drafts — confirm answers to all three questions are still distinct

Handoff Format

Each script file must follow the standard format:

# Video Script [A/B/C] — [Title]
**Version:** 1.0
**Target length:** X seconds
**Audience:** [who]
**Style:** [description]

## Scene-by-scene
### Scene N — [Title] (M:SS–M:SS)
**Screen:** [page/state]
**Action:** [interaction if any]
**Narration:** "[exact spoken words]"
**Music/mood:** [description]

## Full narration (clean read)
[narration only — this is the direct TTS input]

## Screenshot/recording requirements
[specific assets needed, with reuse notes]

## Notes for Finn
[timing, transitions, assembly gotchas]

All three script files are handed to Finn together. Finn does not start production until Nissan has approved all scripts.

平台分布

OpenClaw

77.35%
按下载量换算886

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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