Lingzao
atian-create/lingzao-skill
Use Lingzao creator-content tools for Xiaohongshu/XHS, Douyin, and WeChat official-account public content.
A skill your agent uses when a request asks for a Chinese-first AI video script with shot plans, image prompts, narration, subtitles, or handoff contracts for scene generation, image generation…
$ npx skills add zrt-ai-lab/opencode-skills --skill ai-video-script -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zrt-ai-lab/opencode-skills ai-video-script --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/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-video-script .claude/skills/ai-video-script && 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 "ai-video-script" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/ai-video-script into .claude/skills/ai-video-script/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-script", 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/zrt-ai-lab/opencode-skills/tree/main/ai-video-scriptType 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 zrt-ai-lab/opencode-skills --skill ai-video-script -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zrt-ai-lab/opencode-skills ai-video-script --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ai-video-script .agents/skills/ai-video-script && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-video-script" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/ai-video-script into .agents/skills/ai-video-script/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-script", 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 zrt-ai-lab/opencode-skills --skill ai-video-script -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zrt-ai-lab/opencode-skills ai-video-script --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ai-video-script .cursor/skills/ai-video-script && 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 "ai-video-script" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/ai-video-script into .cursor/skills/ai-video-script/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-script", 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/zrt-ai-lab/opencode-skills.git --path ai-video-script--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 zrt-ai-lab/opencode-skills --skill ai-video-script -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zrt-ai-lab/opencode-skills ai-video-script --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ai-video-script .gemini/skills/ai-video-script && 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 "ai-video-script" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/ai-video-script into .gemini/skills/ai-video-script/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-script", 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 zrt-ai-lab/opencode-skills ai-video-scriptInstalls 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 zrt-ai-lab/opencode-skills --skill ai-video-script -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ai-video-script .github/skills/ai-video-script && 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 "ai-video-script" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/ai-video-script into .github/skills/ai-video-script/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-script", 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 zrt-ai-lab/opencode-skills --skill ai-video-script -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zrt-ai-lab/opencode-skills ai-video-script --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ai-video-script .opencode/skills/ai-video-script && 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 "ai-video-script" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/ai-video-script into .opencode/skills/ai-video-script/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-script", 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.
ai-video-scriptA skill your agent uses when a request asks for a Chinese-first AI video script with shot plans, image prompts, narration, subtitles, or handoff contracts for scene generation, image generation…
AI Video Script is an agent skill from zrt-ai-lab/opencode-skills. Use when a request asks for a Chinese-first AI video script with shot plans, image prompts, narration, subtitles, or handoff contracts for scene generation, image generation, video assembly, or WeChat draft preparation.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `README.md`, `examples/product-launch.md` and `templates/video-script.md`).
It sits in Media & Creative, covering AI video generation, Text to speech and voice and Messaging and chat bots. It works with WeChat. The repository describes itself as: OpenCode/Claude Code 技能库 。特色技能:视频生成、图片生成、AI Agent 互联、智能问数等等各场景,持续开发更新中.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d38536f. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
AI Video Script loads about 1.7k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 248 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 248 words (~1,748 tokens).
SKILL.md and 3 other files in ai-video-script of zrt-ai-lab/opencode-skills.
Open the folder on GitHubat commit d38536f
AI Video Script 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 |
|---|---|---|---|---|---|---|
| AI Video Script this skillzrt-ai-lab/opencode-skills | 287 | — | ~1.7k | Automated safety check: Pass | None | |
| Lingzaoatian-create/lingzao-skill | 296 | 1 repos | ~8.8k | Automated safety check: Pass | MIT | |
| Wjs Converting Text To Videojianshuo/claude-skills | 131 | — | ~5.5k | Automated safety check: Notes | MIT | |
| Voice Personadavepoon/buildwithclaude | 3.6k | — | ~947 | Automated safety check: Pass | MIT | |
| Wedding Video Guided Wizardaaronyi97/wedding-video-guided-wizard | 306 | — | ~1k | Automated safety check: Pass | MIT | |
| RunninghubHM-RunningHub/OpenClaw_RH_Skills | 141 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 |
atian-create/lingzao-skill
Use Lingzao creator-content tools for Xiaohongshu/XHS, Douyin, and WeChat official-account public content.
jianshuo/claude-skills
A skill your agent uses when the user wants a 王建硕-style WeChat article (article.md) turned into a narrated short MP4 video — TTS voiceover via 火山引擎 Volcano TTS, HyperFrames CSS/GSAP animation per…
davepoon/buildwithclaude
让 Agent 变成能语音对话的机器人:语音文件转文字(支持微信 silk 格式)+ 多音色人格回复(Edge TTS 免费中文音色),全本地零 API 成本。Voice persona chat: transcribe voice messages (incl.
aaronyi97/wedding-video-guided-wizard
Guide a creator through a real couple's custom wedding video, from a shareable story intake card and Kimi writing pack through narration, external GPT image prompts, image-to-video packs, music and…
HM-RunningHub/OpenClaw_RH_Skills
Generate images, videos, audio, and 3D models via RunningHub API (420 endpoints) and run any RunningHub AI Application (custom ComfyUI workflow) by webappId.
clacky-ai/openclacky
Generate or edit images, videos, or audio in the current task.
zrt-ai-lab/opencode-skills
This skill should be used when preparing Markdown articles for a WeChat Official Account draft box, selecting wenyan-cli themes, processing article images, or troubleshooting authentication and…
zrt-ai-lab/opencode-skills
A skill your agent uses when Codex needs native image generation, editing, or engineered multi-image composition, especially sets, material kits, grids, storyboards, carousels, presentations…
zrt-ai-lab/opencode-skills
智能数据库查询技能。通过SSH隧道连接线上数据库,支持自然语言转SQL、执行查询、表结构探索。当用户需要查询数据库、问数据、看表结构时使用此技能。
zrt-ai-lab/opencode-skills
视频创作技能。图片+音频合成视频,支持TTS配音、淡入淡出转场、字幕、片尾、BGM。当用户提到「生成视频」「做视频」「教学视频」「图文转视频」「做视频号」「配音视频」「图文结合视频」「古诗视频」「故事视频」时触发。内含生图→配音→合成全流程,无需单独调用image-service。
zrt-ai-lab/opencode-skills
当用户要求"搜索新闻"、"查询AI新闻"、"整理新闻"、"获取某天的新闻",或提到需要搜索、整理、汇总指定日期的AI行业新闻时,应使用此技能。
zrt-ai-lab/opencode-skills
A skill your agent uses when reviewing an agent Skill before sharing, installing, or executing it and when checking a Skill bundle for credentials, dangerous commands, suspicious network behavior…
Works with
Categories
A skill your agent uses when a request asks for a Chinese-first AI video script with shot plans, image prompts, narration, subtitles, or handoff contracts for scene generation, image generation…. AI Video Script is an agent skill from zrt-ai-lab/opencode-skills. Use when a request asks for a Chinese-first AI video script with shot plans, image prompts, narration, subtitles, or handoff contracts for scene generation, image generation, video assembly, or WeChat draft preparation.
AI Video Script fits situations like: A request asks for a Chinese-first AI video script with shot plans; handoff contracts for scene generation; image generation; weChat draft preparation.
Run `npx skills add zrt-ai-lab/opencode-skills --skill ai-video-script -a claude-code`. Or copy the skill folder (ai-video-script in zrt-ai-lab/opencode-skills) into .claude/skills/ai-video-script in your project. Claude Code loads it when a task matches its description.
Run `npx skills add zrt-ai-lab/opencode-skills --skill ai-video-script -a codex`. Or copy the skill folder (ai-video-script in zrt-ai-lab/opencode-skills) into .agents/skills/ai-video-script 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 zrt-ai-lab/opencode-skills --skill ai-video-script -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-video-script, .gemini/skills/ai-video-script, .github/skills/ai-video-script and .opencode/skills/ai-video-script in your project.
SKILL.md names no scripts, command-line tools or credentials: AI Video Script is instructions for the agent only.
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 AI Video Script or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.7k tokens (SKILL.md is roughly 7k 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 AI Video Script: Lingzao (atian-create/lingzao-skill, 296 stars), Wjs Converting Text To Video (jianshuo/claude-skills, 131 stars), Voice Persona (davepoon/buildwithclaude, 3.6k stars) and Wedding Video Guided Wizard (aaronyi97/wedding-video-guided-wizard, 306 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
zrt-ai-lab (a GitHub user) maintains it in zrt-ai-lab/opencode-skills, which has 287 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on July 22, 2026.
Source: zrt-ai-lab/opencode-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.