Chengfeng Videocut Skills:自进化 logo

Chengfeng Videocut Skills:自进化

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Pluviobyte
chengfeng-videocut-skills:自进化

自进化 skills。记录用户反馈,更新方法论和规则。触发词:更新规则、记录反馈、改进skill

Overview

PublisherPluviobyte
Repositoryrnskill
Skill namechengfeng-videocut-skills:自进化
Stars
1.6K
Forks
181
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Pluviobyte on GitHub. Read the source before you install it.

Installation

Install the Chengfeng Videocut Skills:自进化 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Chengfeng Videocut Skills:自进化 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Chengfeng Videocut Skills:自进化 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Chengfeng Videocut Skills:自进化 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

自更新

让 Agent 从错误中学习,持续改进

快速使用

用户: 记录一下刚才的问题
用户: 更新口误识别的规则
用户: 这个教训要记下来

更新位置

内容类型目标文件示例
用户画像CLAUDE.md偏好、习惯
方法论 + 反馈*/tips/*.md规则、教训

流程

用户触发("刚才失败了"、"记录一下")
【自动】回溯上下文,找出问题点
【自动】读目标文件全文,理解现有结构
【自动】整合到正文相应位置(不是只往末尾加!)
【自动】反馈记录只记事件,不重复规则
汇报更新结果

关键:不要问"什么问题",直接从上下文分析!

更新原则

❌ 错误做法:往末尾加

markdown
## 反馈记录
### 2026-01-14
- 教训:审查稿末尾必须生成删除任务清单
- 教训:用户确认时要分别确认口误和静音

只加到反馈记录 = 规则散落在末尾,下次还会犯错

✅ 正确做法:整合到正文

  1. 读全文,理解章节结构
  2. 找到相应位置,把规则整合进去
  3. 反馈记录只记事件- 审查稿标记了静音,但剪辑时漏删
markdown
## 四、审查稿格式
(新增删除任务清单模板)

## 五、确认与执行流程  ← 缺这个章节就新增
(新增分别确认口误和静音的流程)

## 反馈记录
### 2026-01-14
- 审查稿标记了静音,但剪辑时漏删(只删了口误)

触发条件

  • 用户纠正 AI 错误
  • 用户说"记住这个"、"以后注意"
  • 发现新的通用规律

反例

2026-01-13

❌ 错误:
用户: 刚才失败了,更新到skills
AI: 请告诉我你发现了什么问题?  ← 不该问!

✅ 正确:
AI: [自动回溯上下文,找到失败点]
AI: [执行更新]

2026-01-14

❌ 错误:
AI: 已更新,在反馈记录新增3条教训  ← 只加末尾!

✅ 正确:
AI: [读全文,理解结构]
AI: [整合到正文相应位置]
AI: [反馈记录只记事件]
AI: 已更新:新增第五章"确认与执行流程",更新第四章模板

原则:规则要整合到正文,反馈记录只是事件日志

Frequently asked questions

What does the Chengfeng Videocut Skills:自进化 AI skill do?

自进化 skills。记录用户反馈,更新方法论和规则。触发词:更新规则、记录反馈、改进skill

Why use Chengfeng Videocut Skills:自进化 on TypingMind?

Because you install it once and use it with any model. Chengfeng Videocut Skills:自进化 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Chengfeng Videocut Skills:自进化 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Pluviobyte/rnskill/tree/main/skills/chengfeng-videocut-skills/自进化. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Chengfeng Videocut Skills:自进化?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Chengfeng Videocut Skills:自进化?

As many as you like. As long as a model supports skills, you can use Chengfeng Videocut Skills:自进化 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Chengfeng Videocut Skills:自进化 AI skill free?

It is published on GitHub by Pluviobyte. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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