Making Demo Videos
nukeop/nuclear
A skill your agent uses when making a demo, tutorial, or feature video of Nuclear.
Orchestrates repo pipeline from a single URL: branch Zhihu vs generic page → spider → DeepSeek caption when needed → Edge TTS → Remotion render to output/video/video.mp4.
Install URL To Video Pipeline
$ npx skills add szhshp/panda-video-generator --skill url-to-video-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install szhshp/panda-video-generator url-to-video-pipeline --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/szhshp/panda-video-generator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agent/skills/url-to-video-pipeline .claude/skills/url-to-video-pipeline && rm -rf skills-srcUse ~/.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/
Install the "url-to-video-pipeline" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/url-to-video-pipeline into .claude/skills/url-to-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "url-to-video-pipeline", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/url-to-video-pipelineType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add szhshp/panda-video-generator --skill url-to-video-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install szhshp/panda-video-generator url-to-video-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/szhshp/panda-video-generator.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agent/skills/url-to-video-pipeline .agents/skills/url-to-video-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "url-to-video-pipeline" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/url-to-video-pipeline into .agents/skills/url-to-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "url-to-video-pipeline", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add szhshp/panda-video-generator --skill url-to-video-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install szhshp/panda-video-generator url-to-video-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/szhshp/panda-video-generator.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agent/skills/url-to-video-pipeline .cursor/skills/url-to-video-pipeline && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "url-to-video-pipeline" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/url-to-video-pipeline into .cursor/skills/url-to-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "url-to-video-pipeline", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/szhshp/panda-video-generator.git --path .agent/skills/url-to-video-pipeline--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add szhshp/panda-video-generator --skill url-to-video-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install szhshp/panda-video-generator url-to-video-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/szhshp/panda-video-generator.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agent/skills/url-to-video-pipeline .gemini/skills/url-to-video-pipeline && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "url-to-video-pipeline" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/url-to-video-pipeline into .gemini/skills/url-to-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "url-to-video-pipeline", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install szhshp/panda-video-generator url-to-video-pipelineInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add szhshp/panda-video-generator --skill url-to-video-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/szhshp/panda-video-generator.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agent/skills/url-to-video-pipeline .github/skills/url-to-video-pipeline && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "url-to-video-pipeline" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/url-to-video-pipeline into .github/skills/url-to-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "url-to-video-pipeline", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add szhshp/panda-video-generator --skill url-to-video-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install szhshp/panda-video-generator url-to-video-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/szhshp/panda-video-generator.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agent/skills/url-to-video-pipeline .opencode/skills/url-to-video-pipeline && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "url-to-video-pipeline" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/url-to-video-pipeline into .opencode/skills/url-to-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "url-to-video-pipeline", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
url-to-video-pipeline- GitHub stars
- 291
- Token cost
- ~1.2k tokens
- SKILL.md length
- 304 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- None found
At a glance
Orchestrates repo pipeline from a single URL: branch Zhihu vs generic page → spider → DeepSeek caption when needed → Edge TTS → Remotion render to output/video/video.mp4.
- The user gives a URL for 一条龙、网页转视频、爬取+口播+渲染、or automate spider→tts→render from link
- SKILL.md covers A. 知乎问题 URL, B. 通用 http(s) 页面, 环境与可选开关（两分支共用） and 依赖的细粒度 Skill（勿重复维护长文）, plus 1 more section
- Calls pnpm; reaches zhihu.com; needs DEEPSEEK_API_KEY
- Tasks that involve Text to speech and voice
What it does
URL To Video Pipeline is an agent skill from szhshp/panda-video-generator. Orchestrates repo pipeline from a single URL: branch Zhihu vs generic page → spider → DeepSeek caption when needed → Edge TTS → Remotion render to output/video/video.mp4. Use when the user gives a URL for 一条龙、网页转视频、爬取+口播+渲染、or automate spider→tts→render from link.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Text to speech and voice and Video production. It works with Remotion, DeepSeek and pnpm. The repository describes itself as: 熊猫视频自动化引擎: 用程序员的方式帮你自动化视频创作与发布.
When your agent uses it
- The user gives a URL for 一条龙、网页转视频、爬取+口播+渲染、or automate spider→tts→render from link
- Tasks that involve Text to speech and voice
- Tasks that involve Video production
Example prompts
- “Use the url-to-video-pipeline skill to orchestrate repo pipeline from a single URL: branch Zhihu vs generic page → spider → DeepSeek caption when…”
- “/url-to-video-pipeline”
Requirements
- A credential in DEEPSEEK_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit 65899c0. 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
Shell commands in SKILL.md call:
pnpm
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
zhihu.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
DEEPSEEK_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
URL To Video Pipeline loads about 1.2k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 304 words of instructions outside code blocks.
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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:11
repo 根目录**执行 **`pnpm install`**，配置仓库根 **`.env`** 中的 **`DEEPSEEK_API_KEY`**（知乎链路与通用链路的口播步骤都需要）。后续步骤需要 **网络**；TTS / 渲染阶段需要 - NoteMentions a .env fileSKILL.md:31
| `DEEPSEEK_API_KEY` | 是 | `.env` 或环境变量（口播用） | - NoteMentions a .env fileSKILL.md:47
npm spider:zhihu -- <URL>`** | 知乎 URL；**`.env`** 中 DeepSeek | **`output/spider/output.json`**（含 `title`,`content`,`answe - NoteMentions a .env fileSKILL.md:118
- **密钥未生效**：在仓库根执行；确认 **`.env`** 与 **`process.cwd()`**（见 **`.agent/rules/env-file.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); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 304 words (~1,151 tokens).
“在 monorepo 根目录执行 pnpm install，配置仓库根 .env 中的 DEEPSEEK_API_KEY（知乎链路与通用链路的口播步骤都需要）。后续步骤需要 网络；TTS / 渲染阶段需要 ffmpeg 在 PATH。”
- name
- url-to-video-pipeline
Files
Just SKILL.md in .agent/skills/url-to-video-pipeline of szhshp/panda-video-generator.
Open the folder on GitHubat commit 65899c0
Compare with similar skills
URL To Video Pipeline 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| URL To Video Pipeline this skillszhshp/panda-video-generator | 291 | — | ~1.2k | Automated safety check: Notes | None | |
| Making Demo Videosnukeop/nuclear | 19k | — | ~892 | Automated safety check: Pass | AGPL-3.0 | |
| Video Podcast MakerAgents365-ai/video-podcast-maker | 1.7k | — | ~4.9k | Automated safety check: Pass | MIT | |
| Video TalkcraftVincentwei1021/video-talkcraft | 1.5k | — | ~8.7k | Automated safety check: Notes | Custom licence | |
| Video Podcast Maker LiteAgents365-ai/video-podcast-maker | 1.7k | — | ~4.5k | Automated safety check: Pass | MIT | |
| Anything2explainerVincentwei1021/anything2explainer | 2.4k | — | ~2.7k | Automated safety check: Pass | Custom licence |
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Playwright Publish
szhshp/panda-video-generator
Multi-platform browser login and video upload via Playwright Test only (headed Chromium).
Remotion Render
szhshp/panda-video-generator
Run Remotion renders from monorepo root: pnpm render:video, render:all / pipeline:tts-render, render:composition; sync-to-public, composition IDs, output/video paths, VIDEOPUBLICDIR.
Tts Node
szhshp/panda-video-generator
Atomic reference for @panda-video-generator/tts-node: pnpm tts, cli.ts, processNarrationFile — Edge-TTS narration → audio.mp3 + audio.vtt; env vars TTS, EDGETTS, ffmpeg.
Spider
szhshp/panda-video-generator
Atomic reference for three spider flows: spider:extract:file, spider:extract:url, spider:zhihu — inputs, outputs, env vars only.
Related
Categories
Questions about URL To Video Pipeline
What does URL To Video Pipeline do?
Orchestrates repo pipeline from a single URL: branch Zhihu vs generic page → spider → DeepSeek caption when needed → Edge TTS → Remotion render to output/video/video.mp4. URL To Video Pipeline is an agent skill from szhshp/panda-video-generator.mp4.
When should I use URL To Video Pipeline?
URL To Video Pipeline fits situations like: the user gives a URL for 一条龙、网页转视频、爬取+口播+渲染、or automate spider→tts→render from link; tasks that involve Text to speech and voice; tasks that involve Video production.
How do I install URL To Video Pipeline in Claude Code?
Run `npx skills add szhshp/panda-video-generator --skill url-to-video-pipeline -a claude-code`. Or copy the skill folder (.agent/skills/url-to-video-pipeline in szhshp/panda-video-generator) into .claude/skills/url-to-video-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install URL To Video Pipeline in Codex?
Run `npx skills add szhshp/panda-video-generator --skill url-to-video-pipeline -a codex`. Or copy the skill folder (.agent/skills/url-to-video-pipeline in szhshp/panda-video-generator) into .agents/skills/url-to-video-pipeline in your project. Codex loads it when a task matches its description.
Can I use URL To Video Pipeline 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 szhshp/panda-video-generator --skill url-to-video-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/url-to-video-pipeline, .gemini/skills/url-to-video-pipeline, .github/skills/url-to-video-pipeline and .opencode/skills/url-to-video-pipeline in your project.
What does URL To Video Pipeline need to run?
Going by SKILL.md and its folder, URL To Video Pipeline needs the command-line tools its instructions call (pnpm) and credentials named DEEPSEEK_API_KEY. Our summary lists: A credential in DEEPSEEK_API_KEY.
Does URL To Video Pipeline access the network?
SKILL.md names 1 domain. In commands or code: zhihu.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is URL To Video Pipeline safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does URL To Video Pipeline use?
No licence was found for URL To Video Pipeline or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does URL To Video Pipeline use?
About 1.2k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to URL To Video Pipeline?
Skills that share tags, products or a category with URL To Video Pipeline: Making Demo Videos (nukeop/nuclear, 19k stars), Video Podcast Maker (Agents365-ai/video-podcast-maker, 1.7k stars), Video Talkcraft (Vincentwei1021/video-talkcraft, 1.5k stars) and Video Podcast Maker Lite (Agents365-ai/video-podcast-maker, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains URL To Video Pipeline?
szhshp (a GitHub user) maintains it in szhshp/panda-video-generator, which has 291 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 10, 2026.
Source: szhshp/panda-video-generator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.