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/install cell-video-packaging-diagnosis
Description
Video packaging diagnosis for Chinese short-form creators. Use when Codex needs to diagnose why a video's title, cover, opening hook, or payoff structure is...
README (SKILL.md)
Video Packaging Diagnosis
Overview
这个 Skill 专门处理视频的：
- 标题
- 封面
- 开头承接
- promise 与兑现
它不是通用文案 Skill，也不是完整脚本 Skill。
Quick Start
- 先判断问题更像：标题、封面、开头，还是兑现关系。
- 先找一个最限制点击或留存的单点。
- 标题、封面、开头必须围绕同一个 promise。
- 给优化方案时，至少保留 2 条不同方向。
Default Contract
默认采用以下约定，除非用户另有说明：
- 输出语言：中文
- 先诊断，再给改法
- 先看 promise 是否成立，再谈词句雕花
- 如果平台没说明，按中文短视频语境处理
Workflow
Step 1: Scope the Material
用户可提供：
- 标题
- 封面图描述或图片
- 开头脚本
- 视频大纲
Step 2: Route the Diagnosis
| 场景 | 按需读取 |
|---|---|
| 标题诊断 | references/contrast-headlines.md |
| 封面诊断 | references/cover-strategies.md |
| 开头 / 承接诊断 | references/payoff-structure.md |
| 整体封标诊断 | 三个文件都读 |
Step 3: Name the Real Bottleneck
常见瓶颈：
- 标题没有对比和画面感
- 封面没有视觉聚焦
- 开头没有立刻确认标题 promise
- 中段平，结尾又没有兑现
Step 4: Return Targeted Fixes
默认交付：
- 一句话诊断
- 主要问题 1-3 条
- 2-3 个标题方向
- 封面策略建议
- 开头承接修正建议
Hard Rules
Do not:
- 只改标题，不看封面和开头
- 把所有问题都归因成“不够炸”
- 没诊断就直接给一个答案
Always:
- 把问题落到点击或留存
- 检查标题、封面、开头是否在说同一件事
- 给至少两种可比较方案
Resource Map
- references/contrast-headlines.md
- 强对比标题的类型与检查方法。
- references/cover-strategies.md
- 封面策略、视觉聚焦与常见错误。
- references/payoff-structure.md
- 开头确认、中段升级、结尾兑现的承接检查。
- assets/diagnosis-template.md
- 标准诊断输出模板。
Usage Guidance
This is an instruction-only, self-contained diagnostic aid—low technical risk. Before using, remember you will be sharing titles, cover descriptions/images, and script/outlines with the agent; avoid sending private or sensitive data. If you prefer, restrict autonomous invocation in your agent settings so the skill runs only when you call it.
Capability Analysis
Type: OpenClaw Skill
Name: cell-video-packaging-diagnosis
Version: 0.1.0
The skill bundle is a legitimate tool designed to help creators optimize short-form video packaging, including titles, covers, and narrative structure. All files, including SKILL.md and the reference documents (contrast-headlines.md, cover-strategies.md, payoff-structure.md), contain only content-related instructions and templates with no evidence of malicious code, data exfiltration, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name, description, and included reference assets (headlines, cover strategies, payoff structure, diagnosis template) align with a video packaging diagnosis task. No unrelated binaries, environment variables, or external services are required.
Instruction Scope
SKILL.md confines the agent to diagnosing user-provided title/cover/opening/outline and using the local reference files. It does not instruct the agent to read arbitrary system files, call external endpoints, or collect unrelated data.
Install Mechanism
No install spec or code is present; this is an instruction-only skill so nothing is written to disk or downloaded during install.
Credentials
The skill declares no environment variables, credentials, or config paths. Requested access is minimal and proportional to the stated purpose.
Persistence & Privilege
always is false and the skill uses normal model-invocation behavior. It does not request persistent system-level privileges or modify other skills' configurations.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install cell-video-packaging-diagnosis - After installation, invoke the skill by name or use
/cell-video-packaging-diagnosis - 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 视频封标诊断?
Video packaging diagnosis for Chinese short-form creators. Use when Codex needs to diagnose why a video's title, cover, opening hook, or payoff structure is... It is an AI Agent Skill for Claude Code / OpenClaw, with 96 downloads so far.
How do I install 视频封标诊断?
Run "/install cell-video-packaging-diagnosis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 视频封标诊断 free?
Yes, 视频封标诊断 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 视频封标诊断 support?
视频封标诊断 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 视频封标诊断?
It is built and maintained by cellinlab (@cellinlab); the current version is v0.1.0.
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