Vox Director
Alisa0808/vox-director
Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all…
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.
$ npx skills add szhshp/panda-video-generator --skill tts-node -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install szhshp/panda-video-generator tts-node --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/tts-node .claude/skills/tts-node && 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 "tts-node" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/tts-node into .claude/skills/tts-node/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tts-node", 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/tts-nodeType 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 tts-node -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install szhshp/panda-video-generator tts-node --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/tts-node .agents/skills/tts-node && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tts-node" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/tts-node into .agents/skills/tts-node/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tts-node", 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 tts-node -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install szhshp/panda-video-generator tts-node --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/tts-node .cursor/skills/tts-node && 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 "tts-node" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/tts-node into .cursor/skills/tts-node/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tts-node", 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/tts-node--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 tts-node -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install szhshp/panda-video-generator tts-node --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/tts-node .gemini/skills/tts-node && 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 "tts-node" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/tts-node into .gemini/skills/tts-node/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tts-node", 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 tts-nodeInstalls 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 tts-node -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/tts-node .github/skills/tts-node && 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 "tts-node" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/tts-node into .github/skills/tts-node/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tts-node", 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 tts-node -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 tts-node --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/tts-node .opencode/skills/tts-node && 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 "tts-node" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/tts-node into .opencode/skills/tts-node/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tts-node", 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.
tts-nodeAtomic reference for @panda-video-generator/tts-node: pnpm tts, cli.ts, processNarrationFile — Edge-TTS narration → audio.mp3 + audio.vtt; env vars TTS, EDGETTS, ffmpeg.
Tts Node is an agent skill from 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. Triggers: TTS, Edge-TTS, 口播音频, audio.mp3, public/tts.
Its SKILL.md is about 950 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 pnpm and FFmpeg. 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 95ced9b. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pnpmnodetsxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tts Node loads about 954 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 210 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.
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); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 210 words (~954 tokens).
“包 @panda-video-generator/tts-node:读口播纯文本(非空行 = 一段),用 Microsoft Edge TTS 合成、ffmpeg 拼接并 atempo 加速,写出 audio.mp3 + audio.vtt。需 网络;ffmpeg 在 PATH。packages/tts-node/README.md 仅为路牌链回本文。”
Just SKILL.md in .agent/skills/tts-node of szhshp/panda-video-generator.
Open the folder on GitHubat commit 95ced9b
Tts Node 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 |
|---|---|---|---|---|---|---|
| Tts Node this skillszhshp/panda-video-generator | 290 | — | ~954 | Automated safety check: Pass | None | |
| Vox DirectorAlisa0808/vox-director | 2.2k | — | ~5.6k | Automated safety check: Pass | MIT | |
| Explain Videolimin112/min-skill | 359 | — | ~2.4k | Automated safety check: Pass | None | |
| Qiaomu Cutjoeseesun/qiaomu-cut-skill | 369 | — | ~6.8k | Automated safety check: Notes | MIT | |
| Video Productionspeechlab0210/video-production-skill | 105 | — | ~4.1k | Automated safety check: Notes | MIT | |
| Whiteboard Videognipbao/codex-whiteboard-video-skill | 323 | — | ~7.2k | Automated safety check: Notes | MIT |
Alisa0808/vox-director
Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all…
limin112/min-skill
Build a narrated explainer video from a concept — discussion → structure → HTML slide deck → narration script → TTS voice → subtitles → background music → Playwright screen recording → ffmpeg…
joeseesun/qiaomu-cut-skill
把一句话需求转成可复现、可验收视频工程的乔木智能剪辑导演。Use when the user asks to create, plan, edit, remix, explain, narrate, subtitle, animate, composite, or render a video—including one-line requests such as “制作一个科普视频:介绍…
speechlab0210/video-production-skill
AI educational video production pipeline. An agent skill from speechlab0210/video-production-skill.
gnipbao/codex-whiteboard-video-skill
Generate smooth hand-drawn whiteboard and story videos directly inside Codex from text scripts, GPT Image 2 color storyboards, scene plans, SVGs, line art, or local images.
Bomx/super-video-maker-skill
End-to-end AI video production skill for agentic frameworks.
szhshp/panda-video-generator
Prefer the hosting AI Agent to write narration into input.txt from crawl JSON (no external LLM).
szhshp/panda-video-generator
Multi-platform browser login and video upload via Playwright Test only (headed Chromium).
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.
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.
szhshp/panda-video-generator
Atomic reference for three spider flows: spider:extract:file, spider:extract:url, spider:zhihu — inputs, outputs, env vars only.
Categories
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. Tts Node is an agent skill from szhshp/panda-video-generator.vtt; env vars TTS, EDGETTS, ffmpeg.
Tts Node fits situations like: tasks that involve Text to speech and voice; tasks that involve Video production.
Run `npx skills add szhshp/panda-video-generator --skill tts-node -a claude-code`. Or copy the skill folder (.agent/skills/tts-node in szhshp/panda-video-generator) into .claude/skills/tts-node in your project. Claude Code loads it when a task matches its description.
Run `npx skills add szhshp/panda-video-generator --skill tts-node -a codex`. Or copy the skill folder (.agent/skills/tts-node in szhshp/panda-video-generator) into .agents/skills/tts-node in your project. Codex loads it when a task matches its description.
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 tts-node -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tts-node, .gemini/skills/tts-node, .github/skills/tts-node and .opencode/skills/tts-node in your project.
Going by SKILL.md and its folder, Tts Node needs the command-line tools its instructions call (pnpm, node and tsx).
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.
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. Review the folder before installing.
No licence was found for Tts Node or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 954 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Tts Node: Vox Director (Alisa0808/vox-director, 2.2k stars), Explain Video (limin112/min-skill, 359 stars), Qiaomu Cut (joeseesun/qiaomu-cut-skill, 369 stars) and Video Production (speechlab0210/video-production-skill, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
szhshp (a GitHub user) maintains it in szhshp/panda-video-generator, which has 290 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on August 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.