Agent skill

Lzheng Video Lessons

by LZheng0411 in LZheng0411/Lzheng-fitness

将抖音或本地健身教学视频核对为有起止点的分段课程,用直接教读者怎么做的详细解释生成播放器,接入现有知识库并按用户授权完成发布和线上验证;支持复用更新,不把视频建议自动写成个人训练处方。

MITAuto-check passed

Install Lzheng Video Lessons

skills CLI
$ npx skills add LZheng0411/Lzheng-fitness --skill lzheng-video-lessons -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LZheng0411/Lzheng-fitness lzheng-video-lessons --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LZheng0411/Lzheng-fitness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lzheng-video-lessons .claude/skills/lzheng-video-lessons && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
lzheng-video-lessons
GitHub stars
119
Token cost
~484 tokens
SKILL.md length
82 words
Files
8 (incl. scripts, references, assets)
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

将抖音或本地健身教学视频核对为有起止点的分段课程,用直接教读者怎么做的详细解释生成播放器,接入现有知识库并按用户授权完成发布和线上验证;支持复用更新,不把视频建议自动写成个人训练处方。

  • Works in 5 steps: 获取并核对来源 → 编写章节 → 生成可试用课程 → …
  • SKILL.md covers 1. 获取并核对来源, 2. 编写章节, 3. 生成可试用课程 and 4. 接入与复用, plus 1 more section
  • Runs Python scripts from its folder; calls python

What it does

Lzheng Video Lessons is an agent skill from LZheng0411/Lzheng-fitness. 将抖音或本地健身教学视频核对为有起止点的分段课程,用直接教读者怎么做的详细解释生成播放器,接入现有知识库并按用户授权完成发布和线上验证;支持复用更新,不把视频建议自动写成个人训练处方。

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/example-lesson.json` and `references/integration-release.md`).

It works with Python. The repository describes itself as: Lzheng的开源健身 Agent Skill 知识库. The licence is MIT.

Example prompts

  • “/lzheng-video-lessons”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. 获取并核对来源
  2. 编写章节
  3. 生成可试用课程
  4. 接入与复用
  5. 验收与发布

What it can do on your machine

Read from SKILL.md and the folder at commit c9f0b57. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lzheng Video Lessons loads about 484 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 28 tokens; SKILL.md has 82 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~484
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from LZheng0411/Lzheng-fitness at commit c9f0b57, republished under its MIT licence (© LZheng0411). 82 words, ~484 tokens.

Download SKILL.mdSave it as .claude/skills/lzheng-video-lessons/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
lzheng-video-lessons
description
将抖音或本地健身教学视频核对为有起止点的分段课程,用直接教读者怎么做的详细解释生成播放器,接入现有知识库并按用户授权完成发布和线上验证;支持复用更新,不把视频建议自动写成个人训练处方。

Lzheng 分段视频教学

用户给链接或本地视频并要求“分段讲解、知识库教学、接入健身系统”时使用。沿用当前用户的素材、目标与发布授权,不要求重新确认已有决定。创建 Skill 本身不代表发布新课程。

1. 获取并核对来源

优先复用已核对的媒体、转写和时间戳;有 lzheng-video-learning 时用它的获取/转写工具,个人环境也可用已安装的 douyin-question-distiller。没有这些工具时接收用户本地视频和转写,保留同样数据契约。不要绕过登录、验证码、付费或访问限制;同一临时媒体地址失败最多重新获取一次,失败条目记录原因,继续可独立完成部分。

在用户 workspace 中保存来源 URL、作品 ID、讲者/上传者、时长、媒体哈希、转写和关键帧。运行材料不得进入 Skill 或公开仓库。逐段核对时间、数字、单位、动作版本与否定词;只做过机器转写/抽帧就如实写明,不声称逐字听校。

2. 编写章节

读取 讲解与数据契约。章节必须有精确 start/end、稳定 ID、目标、详细步骤与步骤时间点。分段按教学意义,不固定章节数、不等分时间。允许未收录片段,但要在 coverage_note 说明;章节不能重叠、越界。

正文直接讲“你怎么准备、怎么做、为什么、怎样判断、哪里容易错”,不用“作者演示了/他说了”代替解释。署名和证据放来源区。不要补造片中没有的组数、重量或通用结论;来源建议与额外解释分开标注,存疑处保留待核对。

3. 生成可试用课程

python scripts/lesson.py validate --input <lesson.json>

核对通过后:python scripts/lesson.py build --input <lesson.json> --out <新课程目录> [--media <mp4> --poster <jpg>]

工具只接受新输出目录,避免覆盖已有课程和学习笔记。更新使用同一 lesson.id/chapter.id 并生成新版本目录,验收后替换注册入口,保留旧版便于回退。默认只链接原视频;复制媒体需要 lesson.json 记录 media_rights_basis。开源包不附带原视频、截图、完整转写或私人资料。

播放器保持黑白、单列浮动目录、编号步骤、原片起止时间、到终点暂停、重播/循环、步骤跳转、按课程保存本机笔记。缺少媒体明确显示“仅原视频链接”,不留假播放器。真实媒体必须验证可解码、非黑屏、拖动与片段终点;浏览器后台限流时不承诺逐帧剪辑精度。需要独立片段文件时可由 ffmpeg 导出,但默认复用单原片的时间窗口,避免重复占用空间。

4. 接入与复用

python scripts/lesson.py integrate --html <工作台.html> --lesson <课程目录> --backup-dir <备份目录> [--apply]

先预检,已获接入授权再 apply。课程必须位于工作台目录树内。只按稳定 ID 更新 knowledge-lessons-data;支持现有个人工作台 UI,其他模板安装通用知识库对话框。保留 workbench-data、账号配置和已有知识;不自动匹配相似动作,精确动作联动交给现有适配器,需逐个核对变式。

5. 验收与发布

读取 接入与发布。先完成本地检查与可审阅页面。已授权发布就继续现有发布器;未授权仅给预览,不把“入库”推断成上传许可。媒体再分发范围与代码许可分别判断。

发布需包含课程 HTML、chapters.js 和授权媒体/海报;以依赖清单为准。不得让公开匿名工作台夹带私人课程。上线后逐文件 HTTP/哈希核验,并实际打开知识库、选段、播放/终点、返回。分别记录 source_verified、lesson_built、integrated、release_prepared、deployed、online_verified;脚本完成不等于用户已学会或练过。

© LZheng0411, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references, assets) in skills/lzheng-video-lessons of LZheng0411/Lzheng-fitness.

  • SKILL.md
  • agents/openai.yaml
  • assets/example-lesson.json
  • assets/integration.html
  • assets/lesson.html
  • references/integration-release.md
  • references/lesson-contract.md
  • scripts/lesson.py

Open the folder on GitHubat commit c9f0b57

Compare with similar skills

Lzheng Video Lessons next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Lzheng Video Lessons compared with similar skills
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PDF Processinganthropics/skills180k47 repos~2kAutomated safety check: PassProprietary
NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k14 repos~2.4kAutomated safety check: NotesMIT
Manim Video Productionbrowser-use/video-use29k6 repos~3kAutomated safety check: PassMIT
PPT Masterhugohe3/ppt-master59k1 repos~2.5kAutomated safety check: PassMIT

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Works with

Questions about Lzheng Video Lessons

What does Lzheng Video Lessons do?

将抖音或本地健身教学视频核对为有起止点的分段课程,用直接教读者怎么做的详细解释生成播放器,接入现有知识库并按用户授权完成发布和线上验证;支持复用更新,不把视频建议自动写成个人训练处方。. Lzheng Video Lessons is an agent skill from LZheng0411/Lzheng-fitness.

How do I install Lzheng Video Lessons in Claude Code?

Run `npx skills add LZheng0411/Lzheng-fitness --skill lzheng-video-lessons -a claude-code`. Or copy the skill folder (skills/lzheng-video-lessons in LZheng0411/Lzheng-fitness) into .claude/skills/lzheng-video-lessons in your project. Claude Code loads it when a task matches its description.

How do I install Lzheng Video Lessons in Codex?

Run `npx skills add LZheng0411/Lzheng-fitness --skill lzheng-video-lessons -a codex`. Or copy the skill folder (skills/lzheng-video-lessons in LZheng0411/Lzheng-fitness) into .agents/skills/lzheng-video-lessons in your project. Codex loads it when a task matches its description.

Can I use Lzheng Video Lessons in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LZheng0411/Lzheng-fitness --skill lzheng-video-lessons -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lzheng-video-lessons, .gemini/skills/lzheng-video-lessons, .github/skills/lzheng-video-lessons and .opencode/skills/lzheng-video-lessons in your project.

What does Lzheng Video Lessons need to run?

Going by SKILL.md and its folder, Lzheng Video Lessons needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Lzheng Video Lessons access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Lzheng Video Lessons safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Lzheng Video Lessons use?

Lzheng Video Lessons is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lzheng Video Lessons use?

About 484 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 932 tokens, read only when the agent opens those files.

What are the alternatives to Lzheng Video Lessons?

Skills that share tags, products or a category with Lzheng Video Lessons: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lzheng Video Lessons?

LZheng0411 (a GitHub user) maintains it in LZheng0411/Lzheng-fitness, which has 119 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 29, 2026.

Source: LZheng0411/Lzheng-fitness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.