Enterprise Customer Visit Playbook
zj-unicom-ai/UniEmployee
Prepares account managers for visits to government and enterprise customers: looks up the customer file, matches products, builds a Word solution document and files visit minutes.
将不同领域的主题、资料或脚本制作成有旁白、画面、字幕、动效和成片检查的视频；适用于希望建立或复用个人视频生产流程的创作者。
MITAuto-check passed
Install Content Video Pipeline
$ npx skills add zj-unicom-ai/UniEmployee --skill content-video-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zj-unicom-ai/UniEmployee content-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/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .claude/skills && cp -r skills-src/backend/skills/content-video-pipeline .claude/skills/content-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 "content-video-pipeline" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/content-video-pipeline into .claude/skills/content-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-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/zj-unicom-ai/UniEmployee/tree/main/backend/skills/content-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 zj-unicom-ai/UniEmployee --skill content-video-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zj-unicom-ai/UniEmployee content-video-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .agents/skills && cp -r skills-src/backend/skills/content-video-pipeline .agents/skills/content-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 "content-video-pipeline" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/content-video-pipeline into .agents/skills/content-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-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 zj-unicom-ai/UniEmployee --skill content-video-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zj-unicom-ai/UniEmployee content-video-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/backend/skills/content-video-pipeline .cursor/skills/content-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 "content-video-pipeline" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/content-video-pipeline into .cursor/skills/content-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-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/zj-unicom-ai/UniEmployee.git --path backend/skills/content-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 zj-unicom-ai/UniEmployee --skill content-video-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zj-unicom-ai/UniEmployee content-video-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/backend/skills/content-video-pipeline .gemini/skills/content-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 "content-video-pipeline" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/content-video-pipeline into .gemini/skills/content-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-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 zj-unicom-ai/UniEmployee content-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 zj-unicom-ai/UniEmployee --skill content-video-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .github/skills && cp -r skills-src/backend/skills/content-video-pipeline .github/skills/content-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 "content-video-pipeline" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/content-video-pipeline into .github/skills/content-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-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 zj-unicom-ai/UniEmployee --skill content-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 zj-unicom-ai/UniEmployee content-video-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/backend/skills/content-video-pipeline .opencode/skills/content-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 "content-video-pipeline" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/content-video-pipeline into .opencode/skills/content-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-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
content-video-pipeline- GitHub stars
- 360
- Token cost
- ~477 tokens
- SKILL.md length
- 48 words
- Files
- 2
- Skills in repo
- 22
- Repo updated
- First seen
- Licence
- MIT
At a glance
将不同领域的主题、资料或脚本制作成有旁白、画面、字幕、动效和成片检查的视频；适用于希望建立或复用个人视频生产流程的创作者。
- Works in 6 steps: 确定创作目标和内容单位 → 整理素材并核实依据 → 建立叙事与结构化脚本 → …
- SKILL.md covers 首次适配, 制作流程 and 交付
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Content Video Pipeline is an agent skill from zj-unicom-ai/UniEmployee. 将不同领域的主题、资料或脚本制作成有旁白、画面、字幕、动效和成片检查的视频；适用于希望建立或复用个人视频生产流程的创作者。
Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).
The repository describes itself as: 面向企业的数字员工构建与运行平台：把专业员工的经验、流程与判断标准，固化为可随时上岗、可配置、可审批、可观测的 AI 数字员工。 The licence is MIT.
Example prompts
- “/content-video-pipeline”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit c38a00a. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Content Video Pipeline loads about 477 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 48 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 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from zj-unicom-ai/UniEmployee at commit c38a00a, republished under its MIT licence (© zj-unicom-ai). 48 words, ~477 tokens.
Download SKILL.mdSave it as
.claude/skills/content-video-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- content-video-pipeline
- description
- 将不同领域的主题、资料或脚本制作成有旁白、画面、字幕、动效和成片检查的视频；适用于希望建立或复用个人视频生产流程的创作者。
跨领域内容视频流水线
帮助创作者把一个主题或一组素材，转化为有明确受众、叙事、声音和画面的完整视频。适用于资讯、教育、科普、历史、亲子、财经、文化、企业培训及个人表达等领域。它提供可移植的制作方法，不要求使用特定操作系统、数据源、声线、品牌或渲染框架。
核心分工：AI 和自动化工具降低执行门槛；创作者负责目标、选题、证据、解释、审美取舍与最终审核。不要把某个领域的内容结构直接套用到所有视频。
首次适配
开始前查看目标项目说明、现有工程和已确认模板。从已有信息中识别以下设置，不重复询问：
- 作品主题、受众、目标平台、画幅、语言和预期时长。
- 输入来源：用户提供的资料、MCP、RSS、API、数据库、采访、课程大纲或人工整理等。
- 该领域适用的来源标准、事实核验方式、归因要求和内容边界。
- 旁白或录音方式、已选声线、语言和输出格式。
- 视频框架、项目锁定的 CLI 版本、预览、检查和渲染方式。
- 品牌模板、授权素材、字幕安全区、转场、音效、片尾及固定归档位置。
沿用已经确认的环境与偏好。缺少关键配置时，先完成不依赖它的选题、结构或脚本草案，再询问最少的必要问题；不得虚构工具、凭据或素材授权。
制作流程
1. 确定创作目标和内容单位
明确观众是谁、作品要解决什么问题、希望观众理解或采取什么行动。根据领域选择适合的叙事单位，例如资讯事件、课程知识点、实验、人物、步骤或用户问题。内容数量、章节数和视频时长由主题与目标决定，不使用固定条数。
2. 整理素材并核实依据
从已配置入口收集内容，记录来源和时间信息。按事件、主题或其他合适单位合并重复素材，同时保留彼此相关但实质不同的内容。按照领域风险与规范核实来源：可优先检查原始材料、官方信息、研究或专家资料，并用可靠的二手来源补充背景。
区分已确认信息、来源方主张、推论和未知内容。高风险领域应采用相称的核验标准，清楚说明适用范围与不确定性。不要让 AI 生成内容取代必要的专业审阅。
3. 建立叙事与结构化脚本
先决定作品的主线、信息顺序和表达重点，再让 AI 协助提纲、改写或生成画面建议。对于事实型内容，将证据与解释区分开；对于教学或故事类内容，则按学习目标、情节或体验设计结构。
使用机器和编辑都可读的中间脚本驱动画面、字幕和音频。每个场景可包含：唯一 ID、叙事目的、标题、旁白、屏幕文字、画面描述或素材引用、预计时长、来源或创作说明。字段按领域增减。页面/场景数量由实际脚本生成，而非写死在模板中。
4. 制作声音并安排时间
根据作品需要选择配音、本人录音、环境声、音乐和静默。复用用户已选择的声线及本地默认参数，不将个人声线标识或密钥写入可分享文件。拆分旁白片段以便独立修改，核对专名、数字和专业词汇，并抽听成品。
使用实际音频时长安排场景切换，并为阅读、思考或情绪停顿留出空间。不同类型的内容节奏不同，不以统一的字数或语速作为标准。音效应支持场景和内容，不妨碍理解。
5. 匹配视觉语言和模板
让画面形式服务于内容气质与观众预期。优先延续用户认可的品牌模板；若是新项目，先确定画幅、视觉层级、字体、配色、图像来源、转场和片尾，再细化动效。避免把其他领域或既有系列的视觉设定机械套用过来。
标题、重点画面、解释文字应有清楚的阅读顺序。动效可以突出信息和引导注意力，但不应遮挡关键内容或无故延长节奏。对时间轴渲染，确保动画可由固定时间和本地素材确定性地呈现。
6. 检查、渲染和归档
依据作品目标检查内容准确性、来源归属、画面可读性、字幕安全区、声音、场景节奏、开头结尾、画幅、时长和音轨。检查关键画面和最终帧；若使用网页播放器预览，同时提供正确的封面海报，避免暂停状态出现黑色占位而被误认为视频首帧。
在项目固定目录中按日期、集数或主题归档简报、脚本、来源、素材、配音、工程、检查记录和最终渲染。保留可复用模板与确认版本，迭代时不要覆盖仍需比较的版本。只有在用户要求并授权时才向外部平台发布或上传。
交付
按用户要求交付视频、预览页、封面或工程文件，并说明视频规格和完成的关键检查。未渲染时清楚说明当前交付状态。保留该项目既有约定，不将此 Skill 中的示例当作固定品牌规则。
© zj-unicom-ai, 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 1 other file in backend/skills/content-video-pipeline of zj-unicom-ai/UniEmployee.
- SKILL.md
- README.md
Open the folder on GitHubat commit c38a00a
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Questions about Content Video Pipeline
What does Content Video Pipeline do?
将不同领域的主题、资料或脚本制作成有旁白、画面、字幕、动效和成片检查的视频；适用于希望建立或复用个人视频生产流程的创作者。. Content Video Pipeline is an agent skill from zj-unicom-ai/UniEmployee.
How do I install Content Video Pipeline in Claude Code?
Run `npx skills add zj-unicom-ai/UniEmployee --skill content-video-pipeline -a claude-code`. Or copy the skill folder (backend/skills/content-video-pipeline in zj-unicom-ai/UniEmployee) into .claude/skills/content-video-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install Content Video Pipeline in Codex?
Run `npx skills add zj-unicom-ai/UniEmployee --skill content-video-pipeline -a codex`. Or copy the skill folder (backend/skills/content-video-pipeline in zj-unicom-ai/UniEmployee) into .agents/skills/content-video-pipeline in your project. Codex loads it when a task matches its description.
Can I use Content 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 zj-unicom-ai/UniEmployee --skill content-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/content-video-pipeline, .gemini/skills/content-video-pipeline, .github/skills/content-video-pipeline and .opencode/skills/content-video-pipeline in your project.
What does Content Video Pipeline need to run?
SKILL.md names no scripts, command-line tools or credentials: Content Video Pipeline is instructions for the agent only.
Does Content Video Pipeline 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 Content Video Pipeline 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. Review the folder before installing.
What licence does Content Video Pipeline use?
Content 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.
How many tokens does Content Video Pipeline use?
About 477 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.
Who maintains Content Video Pipeline?
zj-unicom-ai (a GitHub organization) maintains it in zj-unicom-ai/UniEmployee, which has 360 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on October 8, 2026.
Source: zj-unicom-ai/UniEmployee on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.