Super Video Maker
Bomx/super-video-maker-skill
End-to-end AI video production skill for agentic frameworks.
当用户要把产品事实、口播、数字人、产品界面和 CTA 制作成可验收的数字人产品介绍视频时使用:统一预检 ChatCut、FFmpeg、ComfyUI、Fish/TTS 与 Remotion,按 plan、sample、batch 三种模式编排,先完成可审批样片再批量或出成片。用于有明确产品包的横版/竖版产品视频流水线;不要用于通用自动剪辑、电商短视频复刻、纯视频选题策划或未经确认的批量生成与发布。
$ npx skills add ChenShuo2004/cs-skills --skill cs-digital-human-product-video-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ChenShuo2004/cs-skills cs-digital-human-product-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/ChenShuo2004/cs-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cs-digital-human-product-video-pipeline .claude/skills/cs-digital-human-product-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 "cs-digital-human-product-video-pipeline" agent skill from https://github.com/ChenShuo2004/cs-skills/tree/main/cs-digital-human-product-video-pipeline into .claude/skills/cs-digital-human-product-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cs-digital-human-product-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/ChenShuo2004/cs-skills/tree/main/cs-digital-human-product-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 ChenShuo2004/cs-skills --skill cs-digital-human-product-video-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ChenShuo2004/cs-skills cs-digital-human-product-video-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ChenShuo2004/cs-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cs-digital-human-product-video-pipeline .agents/skills/cs-digital-human-product-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 "cs-digital-human-product-video-pipeline" agent skill from https://github.com/ChenShuo2004/cs-skills/tree/main/cs-digital-human-product-video-pipeline into .agents/skills/cs-digital-human-product-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cs-digital-human-product-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 ChenShuo2004/cs-skills --skill cs-digital-human-product-video-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ChenShuo2004/cs-skills cs-digital-human-product-video-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ChenShuo2004/cs-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cs-digital-human-product-video-pipeline .cursor/skills/cs-digital-human-product-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 "cs-digital-human-product-video-pipeline" agent skill from https://github.com/ChenShuo2004/cs-skills/tree/main/cs-digital-human-product-video-pipeline into .cursor/skills/cs-digital-human-product-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cs-digital-human-product-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/ChenShuo2004/cs-skills.git --path cs-digital-human-product-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 ChenShuo2004/cs-skills --skill cs-digital-human-product-video-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ChenShuo2004/cs-skills cs-digital-human-product-video-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ChenShuo2004/cs-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cs-digital-human-product-video-pipeline .gemini/skills/cs-digital-human-product-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 "cs-digital-human-product-video-pipeline" agent skill from https://github.com/ChenShuo2004/cs-skills/tree/main/cs-digital-human-product-video-pipeline into .gemini/skills/cs-digital-human-product-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cs-digital-human-product-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 ChenShuo2004/cs-skills cs-digital-human-product-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 ChenShuo2004/cs-skills --skill cs-digital-human-product-video-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ChenShuo2004/cs-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/cs-digital-human-product-video-pipeline .github/skills/cs-digital-human-product-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 "cs-digital-human-product-video-pipeline" agent skill from https://github.com/ChenShuo2004/cs-skills/tree/main/cs-digital-human-product-video-pipeline into .github/skills/cs-digital-human-product-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cs-digital-human-product-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 ChenShuo2004/cs-skills --skill cs-digital-human-product-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 ChenShuo2004/cs-skills cs-digital-human-product-video-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ChenShuo2004/cs-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cs-digital-human-product-video-pipeline .opencode/skills/cs-digital-human-product-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 "cs-digital-human-product-video-pipeline" agent skill from https://github.com/ChenShuo2004/cs-skills/tree/main/cs-digital-human-product-video-pipeline into .opencode/skills/cs-digital-human-product-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cs-digital-human-product-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.
cs-digital-human-product-video-pipeline当用户要把产品事实、口播、数字人、产品界面和 CTA 制作成可验收的数字人产品介绍视频时使用:统一预检 ChatCut、FFmpeg、ComfyUI、Fish/TTS 与 Remotion,按 plan、sample、batch 三种模式编排,先完成可审批样片再批量或出成片。用于有明确产品包的横版/竖版产品视频流水线;不要用于通用自动剪辑、电商短视频复刻、纯视频选题策划或未经确认的批量生成与发布。
Cs Digital Human Product Video Pipeline is an agent skill from ChenShuo2004/cs-skills. 当用户要把产品事实、口播、数字人、产品界面和 CTA 制作成可验收的数字人产品介绍视频时使用:统一预检 ChatCut、FFmpeg、ComfyUI、Fish/TTS 与 Remotion,按 plan、sample、batch 三种模式编排,先完成可审批样片再批量或出成片。用于有明确产品包的横版/竖版产品视频流水线;不要用于通用自动剪辑、电商短视频复刻、纯视频选题策划或未经确认的批量生成与发布。
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/chatcut-remotion-verification.md` and `references/product-pack-contract.md`).
It sits in Media & Creative, covering Video production, Diffusion and image models and Text to speech and voice. It works with Remotion, ComfyUI and FFmpeg. The repository describes itself as: 陈硕的 Codex Skills 与 AI 工作流手册:把产品、内容、调研与交付沉淀为可复用的智能工作流。 The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6f5009d. 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.
Ships 1 file in scripts/ (JavaScript), which the agent can run.
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.
Cs Digital Human Product Video Pipeline loads about 1.3k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 265 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); the scripts in this folder are not scanned.
The full file from ChenShuo2004/cs-skills at commit 6f5009d, republished under its MIT licence (© ChenShuo2004). 265 words, ~1,268 tokens.
.claude/skills/cs-digital-human-product-video-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.<!-- CS Skills · 陈硕 | portable skill entry | https://github.com/ChenShuo2004/cs-skills -->
把“数字人 + 产品证据画面 + 包装 + 成片”变成可恢复、可审批、可验收的生产流程。Codex 统一状态、规格、事实追溯和质量闸门;ChatCut 是剪辑真相源;ComfyUI 与 Fish/TTS 负责本地生成;Remotion 负责确定性包装和最终渲染。
本 Skill 借鉴分阶段管线、预检、审批关卡和最终验收的做法,但不复制任何多供应商编排系统。不要猜测本机接口、凭据、模型、工作流文件或项目路径;缺少配置时如实标记状态。
只处理有明确产品包的数字人产品介绍视频。它不是通用“把一堆素材自动剪成 MP4”的入口,也不替代 $cs-chatcut-video-blueprint 的内容策划。
除非产品包明确覆盖,采用以下当前基线:
| 项目 | 默认值 |
|---|---|
| 画幅与分辨率 | 横版 16:9,1920×1080 |
| 帧率与时长 | 30fps,55–60 秒 |
| 语言与叙事 | 中文口播;产品证据画面优先 |
| 声音 | 无 BGM;仅保留必要且轻量的点击、切换 SFX |
| CTA | 一个明确动作;默认可用“私信了解” |
| 圆形讲解人物 | 左下安全区,不能遮挡产品关键 UI 或字幕 |
| 批量策略 | 先样片,用户确认后才能批量或全片生产 |
风格参数与生产逻辑分离。V1 只内置“产品讲解样片”风格;后续更换背景、模板、人物动作或包装时,扩展 product-pack 的风格参数和本地模板,不重写七阶段管线。
开始前读取 产品包合同。产品包使用 product-pack.json:其中必须区分可证明的产品事实、禁用断言、证据素材、目标平台与时长、CTA、数字人/声音配置、风格、音乐政策和审批模式。
每次运行在产品工作区创建或恢复一个可追溯的运行目录,不把它散落在临时目录中。最少保留:
brief.md
decision-log.md
asset-manifest.json
script-and-timeline.md
sample-review.md
qa-report.md在同一个运行目录中记录现有项目定位结果、生成物引用、素材来源、审批结论和残余风险。不得把私密凭据、绝对机器路径或本地接口令牌写入这些文档。
| 模式 | 做什么 | 停止条件 |
|---|---|---|
| plan | 校验产品包、恢复或定位既有项目、预检工具与配置、分析参考视频/素材、输出方案和阻塞项 | 不生成数字人、不渲染、不改时间线 |
| sample | 在通过预检后,只制作一条代表性样片,验证声音、数字人、产品证据、圆形 PIP 和包装 | 交付样片验收包,等待用户确认 |
| batch | 在已确认样片和已锁定产品包的前提下,执行全片或确认后的批量变体,并做最终 QA | 任一关键 QA 失败时停止交付,报告修复项 |
用户确认样片前,禁止批量生成数字人、批量渲染或对外发布。
用户只说“做一条样片”时使用 sample。用户只想评估环境、内容或方案时使用 plan。用户要求多个风格或多个成片时,仍先完成一个 sample,随后才允许 batch。
预检先于本阶段的内容生成、时间线修改或渲染。先核对现有产物的输入版本;已提供且验证有效的原声、数字人或产品镜头直接复用,不要求启动生成这些产物的服务。只检查本阶段真正依赖的工具;未使用工具标为不适用并说明原因,不把它当作 blocked。按以下顺序检查并写入 decision-log.md:
状态含义:
plan 可以在 degraded 或 blocked 时交付。sample 和 batch 只能在其所依赖工具全部 passed 后启动。
详细输入、输出和闸门见 阶段合同。始终按以下顺序执行,只有同一阶段内的无依赖检查可以并行:
不要将阶段 6 的剪辑责任转移给 Remotion,也不要让 ChatCut 的临时效果成为没有验收的最终包装真相。
ChatCut 负责素材去重、主口播、字幕、产品 B-roll、转场和必要 SFX。先检查已有媒体和轨道,再导入缺失素材;组件原声可作为事实证据,但成片口播以锁定主口播为准。
Remotion 只接收锁定的剪辑基底、明确的章节边界和真实时码,用于可重复的产品页、包装、进度和 CTA。任何包装文字都必须回链到 product-pack.json 的事实或已确认口播。禁止借 Remotion 擅自补写产品能力。
圆形讲解人物是标准组件:默认放在左下安全区。若 ChatCut 的原生圆角、遮罩或嵌套层在合成预览中出现空层,立即删除测试层,改为 FFmpeg 预合成的透明通道人像,再重新导入;不保留不可见的试验轨。必须在两个独立时段的合成帧中验证人物可见、圆形边缘正确、字幕与产品 UI 没有被遮挡。详细检查见 ChatCut 与 Remotion 验收。
sample 不是缩短版的全片批量任务。它必须覆盖目标成片的关键风险:至少一段主口播、一个数字人镜头、一个产品证据镜头、字幕、一次转场、圆形 PIP(如产品包启用)和收束/CTA 的风格验证。
交付样片时,提供:
只有用户明确确认样片,才能把审批记录写为 approved 并启动 batch。已确认的同一产品包/样片版本不重复索要审批;修改产品事实、声音/人物、风格或批量范围时重新核对受影响审批。未确认、要求修改、只说“看看”或没有回复,都不是批量授权。
导出成功不等于完成。用 验收清单 同时检查:
长任务恢复时核对产品包、脚本、音频、素材和样片审批的版本;只重跑失效阶段及依赖它的后续阶段。生成/渲染超时先检查原任务 ID 与输出,不直接重复提交。
发现任何关键问题时,返回对应阶段修复并重新验收;不要只因为文件存在就标记完成。
© ChenShuo2004, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 8 other files (scripts, references) in cs-digital-human-product-video-pipeline of ChenShuo2004/cs-skills.
Open the folder on GitHubat commit 6f5009d
Cs Digital Human Product 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 |
|---|---|---|---|---|---|---|
| Cs Digital Human Product Video Pipeline this skillChenShuo2004/cs-skills | 197 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Super Video MakerBomx/super-video-maker-skill | 310 | — | ~11k | Automated safety check: Notes | None | |
| Whiteboard Videotrustfuture/simon-skills | 382 | — | ~1.8k | Automated safety check: Notes | MIT | |
| Open Videoagent-next/video-agent | 120 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Remotion Video Factorywwwzhouhui/skills_collection | 283 | — | ~990 | Automated safety check: Pass | None | |
| AI Mediaericrisco/rsc-harness | 190 | — | ~3.3k | Automated safety check: Pass | MIT |
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A skill your agent uses when the user types $cs-auto-videl or asks for Douyin/TikTok ecommerce video workflows, including competitor replication, strong-Hook nine-grid promptimage.md to image2…
ChenShuo2004/cs-skills
把中文口播、角色和参考素材制作成可验收的 16:9 代码叙事视频:A-roll 角色讲述、全屏场景 B-roll、真实音频时码、Remotion 样片与成片、3:4/4:3 杂志风封面。仅用于代码驱动的叙事视频,不替代 ChatCut 剪辑、数字人产品片或电商复刻。
ChenShuo2004/cs-skills
通过 Codex 内置生图生成或编辑图片,并将该能力接入 Claude Code、Claude 桌面版或其他本地 MCP Agent。用于 cs-codex-image、内置生图、不用 API Key 出图、Claude 调用 Codex 生图。固定 KAI 封面和小黄角色仍由对应品牌 Skill 决定视觉规范。
Categories
当用户要把产品事实、口播、数字人、产品界面和 CTA 制作成可验收的数字人产品介绍视频时使用:统一预检 ChatCut、FFmpeg、ComfyUI、Fish/TTS 与 Remotion,按 plan、sample、batch 三种模式编排,先完成可审批样片再批量或出成片。用于有明确产品包的横版/竖版产品视频流水线;不要用于通用自动剪辑、电商短视频复刻、纯视频选题策划或未经确认的批量生成与发布。. Cs Digital Human Product Video Pipeline is an agent skill from ChenShuo2004/cs-skills.
Cs Digital Human Product Video Pipeline fits situations like: tasks that involve Video production; tasks that involve Diffusion and image models; tasks that involve Text to speech and voice.
Run `npx skills add ChenShuo2004/cs-skills --skill cs-digital-human-product-video-pipeline -a claude-code`. Or copy the skill folder (cs-digital-human-product-video-pipeline in ChenShuo2004/cs-skills) into .claude/skills/cs-digital-human-product-video-pipeline in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ChenShuo2004/cs-skills --skill cs-digital-human-product-video-pipeline -a codex`. Or copy the skill folder (cs-digital-human-product-video-pipeline in ChenShuo2004/cs-skills) into .agents/skills/cs-digital-human-product-video-pipeline 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 ChenShuo2004/cs-skills --skill cs-digital-human-product-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/cs-digital-human-product-video-pipeline, .gemini/skills/cs-digital-human-product-video-pipeline, .github/skills/cs-digital-human-product-video-pipeline and .opencode/skills/cs-digital-human-product-video-pipeline in your project.
Going by SKILL.md and its folder, Cs Digital Human Product Video Pipeline needs JavaScript for the scripts in its folder. Our summary lists: Node.js.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Cs Digital Human Product Video Pipeline is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.1k 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 2.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cs Digital Human Product Video Pipeline: Super Video Maker (Bomx/super-video-maker-skill, 310 stars), Whiteboard Video (trustfuture/simon-skills, 382 stars), Open Video (agent-next/video-agent, 120 stars) and Remotion Video Factory (wwwzhouhui/skills_collection, 283 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ChenShuo2004 (a GitHub user) maintains it in ChenShuo2004/cs-skills, which has 197 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 8, 2026.
Source: ChenShuo2004/cs-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.