content-video-pipeline SKILL.md skillA
content-video-pipeline from zj-unicom-ai/uniemployee is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zj-unicom-ai/uniemployee/content-video-pipeline@git:20260929.8dd385cPins git:20260929.8dd385c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zj-unicom-ai/uniemployee
- Path
backend/skills/content-video-pipeline/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260929.8dd385c, committed Sep 29, 2026
- Size
- 5,296 bytes
- Repository stars
- 758
- License
- MIT
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。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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。 …
Read the whole file at its exact version.
How to install
mdr add zj-unicom-ai/uniemployee/content-video-pipeline@sha256:591fded2f151aa22The line at the top of this page pins the label git:20260929.8dd385c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_k5kd426offysq2go)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 29, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5296 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
zj-unicom-ai/uniemployee · 758 stars · license MIT · pushed 2026-10-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_k5kd426offysq2go GET https://markdownregistry.com/api/v1/resolve?ref=zj-unicom-ai/uniemployee/content-video-pipeline GET https://markdownregistry.com/api/v1/blob/591fded2f151aa2233d61566523809ebb911b92b587ab032e452f0303fcc6437
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.