Creator · Agentchengfeng
Last updated · Sep 2, 2026
把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。
Creator · Agentchengfeng
Last updated · Sep 2, 2026
把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。
Creator · Agentchengfeng
Last updated · Sep 2, 2026
把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。
Creator · Agentchengfeng
Last updated · Sep 2, 2026
把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。
Review then install
Install targets
Codex install prompt
Install the "chengfeng-export" agent skill from https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"agentchengfeng-chengfeng-export","task":"Install chengfeng-export","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Maintenance
fresh
17d since push
Risk
Safe to try
Quality score needs review
GitHub quality
3.0K
82/100 Quality · 82/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
3.0K GitHub stars
Repo activity
3.0K stars, 383 forks
Maintenance
17d since push
License
Apache-2.0
Install
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-exportDo not use when
Alternative
175.1K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
85.2K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
175.1K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20chengfeng-export%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20chengfeng-export%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/agentchengfeng-chengfeng-export/install
Agent should check
Copy prompt
Task: Use chengfeng-export in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20chengfeng-export%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/agentchengfeng-chengfeng-export/install
Install command: npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/agentchengfeng-chengfeng-export/install
LLM text format
/api/skills/agentchengfeng-chengfeng-export/install?format=text
Find alternatives
/api/skills/search?q=chengfeng-export&limit=3
Agent prompt
Use chengfeng-export for this task. Review https://www.openagentskill.com/api/skills/agentchengfeng-chengfeng-export/install, then install with: npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-exportRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/agentchengfeng-chengfeng-export
LLM text
/api/registry/manifest/agentchengfeng-chengfeng-export?format=text
Install alias
/api/registry/install/agentchengfeng-chengfeng-export
Recommend
/api/registry/recommend?task=Use%20chengfeng-export%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS3.0K GitHub stars
Stars/forks activity
PASS3.0K stars, 383 forks; issue activity unavailable in current metadata
Recent maintenance
PASS17d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: chengfeng-export description: 把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 user-invocable: true ---
# 导出(成片)
**这是链条最后一段,也是整个产品里唯一一个真正画出像素的地方。**
在它之前全部是标注:账本记「播哪些词」,字幕记「屏上写什么」,画面记「盖什么层」, 预览把这三样实时拼给人看,**不落盘**。导出把它们烧成一个文件。
```text 需要 edit-list.json(必须)、subtitles.json、visuals.json + modules/ 产出 成片.mp4 ```
前提工具:机器上有 **Google Chrome**(用来把字幕和动画画成图)。桌面安装来源的 FFmpeg / FFprobe 已随 App 进入 Product 受管目录;纯 CLI 安装仍要求系统 `ffmpeg ≥ 6`。缺 Chrome 会明确报错,不要试图绕过——没有它就没有字幕层和动画层。
先读取并执行 [业务 Skill 的阶段合同](../../references/business-workflow-contract.md) 里的「结论等级」一节。**导出不进剪辑状态机**:它不改任何项目文件、不做 CAS 写入、 不推进 stage,产出是一个新文件,重跑一次就覆盖。所以它不需要确认卡。
## 0. 就绪
先执行 [检查更新](../chengfeng-check-updates/SKILL.md) 的「就绪检查」——skills 是否 最新、Runtime 是否配套;**插件根**也在那里定位(本文命令里的 `<插件根>` 都代入 那个字面路径)。只有「就绪」才继续;「需新会话」或「停」按它的处置执行 (含「禁止自制替代界面」禁令),业务 Skill 不自带环境逻辑。
若就绪结果为 `runtime.kind=desktop-managed`,直接复用桌面 App 已安装的稳定 CLI、 媒体工具与同一 `launchd/windows-task` 服务;不要解析 Electron 路径、另装 FFmpeg/Bun 或起第二个 Runtime。
## 命令
```bash node "<插件根>/scripts/ensure-running.cjs" --json node "<插件根>/scripts/videocut-cli.cjs" export <project> --dry-run --json # 先看计划,不编码 node "<插件根>/scripts/videocut-cli.cjs" export <project> --json # 出成片(默认 2 倍、源帧率) node "<插件根>/scripts/videocut-cli.cjs" export <project> --out /path/成片.mp4 --json node "<插件根>/scripts/videocut-cli.cjs" export <project> --scale 1 --json # 只要源尺寸 node "<插件根>/scripts/videocut-cli.cjs" export <project> --keep-work --json # 留下中间片和逐帧 PNG,供排查 ```
`ensure-running` 身份不匹配、端口冲突或服务不健康时立即停止;不允许用 foreground 临时顶替后继续导出。
## 两步,别只跑第二步
```text ① --dry-run 先报计划 片长、帧数、字幕屏数、画面层数、推近段数、输出尺寸 念给用户听。数字不对就是上游不对,编码十分钟不会修好它 ② 真跑 assemble → overlay → compose → verify 四段进度 ```
`--dry-run` 里的 `warnings` 必须原样转述。它只报一类事:**某些字幕屏或画面层的词 已经被剪掉了**,所以它们不会出现在成片里。这是上游要决定的事,不是导出该替人吞掉的。
## 清晰度:源片是天花板,先看源再谈放大
导出前看一眼源分辨率(`--dry-run` 的 `source` 字段就有):
```text 源宽 ≥2560(Retina 原生录屏) → --scale 1,输出就是原生像素,这是最好的情况 源宽 <1920(如 960×720) → 先停一下:问用户有没有同一次录制的高清导出。 录屏工具常常能把同一次录制重新导出成 3 倍分辨率, 换源比任何后期都管用(见下节)。确实没有 → --scale 2 ```
`--scale 2` 对低清源有用的原因:底片放大不会变清楚,但**字幕和动画是按输出尺寸 重画的**——观众真正在读的就是这两样;平台再压一次时,大图分到的码率也更高。
**不要为了「更清晰」去调 `--fps`。** 帧率跟着源片走;改它只会让动画的采样和录屏对不上。
## 换源:用户拿出同一次录制的高清版时
这不是导出流程的一部分——导出本身永远只读。换源是用户明确点头后的独立素材操作, 做完再回来正常导出。
**先判定是不是同一条**(前两条就足够硬):
```bash ffprobe -v error -show_entries format=duration -of csv=p=0 <两个文件> # 时长精确到毫秒相同 ffmpeg -v error -i <文件> -map 0:a:0 -c copy -f md5 - # 音频流逐位相同 # 再抽两三帧对比画面内容,眼睛确认 ```
**音频逐位相同 = 时间线相同**:逐词稿、账本、字幕、画面层全绑词 id,一个不用动。 这正是「绑词不绑秒」在换源这件事上的兑现。
**换源四步**(2026-07-29 真实走过一次;第 ③ 步当时漏了,剪辑预览当场报 「生成失败」——指纹记录不止一处,grep 旧指纹找全再动手):
```text ① 换文件 input/source.mp4 和 uploads/source.mp4 是硬链接对 —— 删两个,拷新文件到 input/,再建硬链接回 uploads/ (macOS 用 ln;Windows 用 New-Item -ItemType HardLink) ② 更新指纹 project.json 的 source.sha256 改成新文件的 ③ 再查一处 workbench.json 的 sourceSha256 也记着源片指纹, 剪辑预览管道校验的恰恰是这本 —— 漏了它,预览拒绝生成 (这是产品的正确行为:指纹对不上宁可失败,不拿旧预览冒充) ④ 重导 --scale 1 —— 换源就是为了原生像素,别再放大 ```
保险做法:用你的搜索工具在 <项目目录> 的全部 *.json 里找旧指纹前 8 位, 列出来的每一处都要处理(缓存记录如 preview-edited/current.json 会自动重算,不用手动改)。
音频不同(重新录了一遍、剪过、时长不一样)就**不是换源**,是新项目: 逐词稿要重新转,所有标注作废。别硬套。
## 验收:三件事,缺一件就不算导出完成
```text ① 命令成功返回 产品自己数成片的尺寸、帧数、音轨,和计划逐项比。 对不上就是 readback_mismatch 报错,文件留在盘上当证据, 不算导出完成 ② 抽帧看像素 从成片里抽帧,用眼睛看。至少覆盖:一个推近段、 一个整屏动画段、一个只有字幕的段、一个层与层的边界 ③ 人耳听感 没人真的听过,一律记 human listening UNVERIFIED ```
② 不许用预览截图代替。**预览和成片是两条渲染路径,验收要看的正是它们对不对得上**—— 拿预览的图当成片的证据,等于把要验的那件事当成了前提。
**判推近要找判别性地标,整体印象会骗人**(2026-07-29 真踩过):1.6 倍推近后的 屏幕页面看起来仍像"一整页",缩略图上和全景几乎没差别——曾把正确的推近帧误判成 "推近丢了",白追半小时、重导两次。正确判法是找**只有裁剪才能造成的证据**: 被裁掉一半的元素(气泡从中间断开)、消失的边缘元素(侧栏、标题栏)。 和源片同刻帧对比一眼定案。
抽帧就用 ffmpeg:
```bash ffmpeg -v error -ss 8.84 -i 成片.mp4 -frames:v 1 -y frame.png ```
## 出问题往哪查
`--keep-work` 会在项目的 `.chengfeng-videocut/export/` 下留三样东西, 它们把「哪一半错了」直接分开:
```text assembled.mkv 只有剪辑,没有任何盖的东西。它错 = 账本或切片错 overlay/*.png 只有盖的东西,透明底。它错 = 字幕样式或模块错 spans/*.mp4 合成后的分段。它错 = 推近或对齐错 ```
对照表:
```text 成片没有字幕/动画 overlay PNG 是不是全透明?模块是不是没答应 seek? 动画停在第一帧 模块没实现 seek,或者 GSAP 时间线没 paused 画面整块白 模块少了 `:root { color-scheme: dark }` 推近的框歪了 模块的 viewBox 和层的 zoom 不是同一组数 成片比计划短 某个 span 帧数不够,看 compose 阶段的报错 层边界闪一小段原片 overlay 截图陈旧(帧标记验证失效)。产品靠页面顶部的 帧标记条自证每张截图属于哪一帧;若复发,先确认 overlay PNG 顶部有标记条、compose 有裁掉它的 crop 找不到 Chrome 装 Google Chrome,别改成别的渲染路径 ```
## 不许做什么
- 不许把「导出成功」说成「验收通过」——命令返回成功只是产品自己对得上,不是画面对 - 不许用预览截图、DOM、日志代替成片抽帧 - 不许没人听过就报 human listening PASS - 不许为了让导出跑通去改项目文件(改字幕、删层、动账本)。导出只读,不写 - 不许在导出里补做上游的活:缺字幕就去写字幕,缺画面就去做画面,别在这一段临时糊一个
Source provenance
Decision snapshot
2,956 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for chengfeng-export, ready for a manual X post.
chengfeng-export: 把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕... 3.0K stars https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=x
Listing + install path for chengfeng-export: https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=x Install: npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Agentchengfeng but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
175.1K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
85.2K StarsVox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
1.8K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
175.1K StarsReview then install
Install targets
Codex install prompt
Install the "chengfeng-export" agent skill from https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"agentchengfeng-chengfeng-export","task":"Install chengfeng-export","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Maintenance
fresh
17d since push
Risk
Safe to try
Quality score needs review
GitHub quality
3.0K
82/100 Quality · 82/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
3.0K GitHub stars
Repo activity
3.0K stars, 383 forks
Maintenance
17d since push
License
Apache-2.0
Install
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-exportDo not use when
Alternative
175.1K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
85.2K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
175.1K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20chengfeng-export%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20chengfeng-export%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/agentchengfeng-chengfeng-export/install
Agent should check
Copy prompt
Task: Use chengfeng-export in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20chengfeng-export%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/agentchengfeng-chengfeng-export/install
Install command: npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/agentchengfeng-chengfeng-export/install
LLM text format
/api/skills/agentchengfeng-chengfeng-export/install?format=text
Find alternatives
/api/skills/search?q=chengfeng-export&limit=3
Agent prompt
Use chengfeng-export for this task. Review https://www.openagentskill.com/api/skills/agentchengfeng-chengfeng-export/install, then install with: npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-exportRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/agentchengfeng-chengfeng-export
LLM text
/api/registry/manifest/agentchengfeng-chengfeng-export?format=text
Install alias
/api/registry/install/agentchengfeng-chengfeng-export
Recommend
/api/registry/recommend?task=Use%20chengfeng-export%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS3.0K GitHub stars
Stars/forks activity
PASS3.0K stars, 383 forks; issue activity unavailable in current metadata
Recent maintenance
PASS17d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: chengfeng-export description: 把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 user-invocable: true ---
# 导出(成片)
**这是链条最后一段,也是整个产品里唯一一个真正画出像素的地方。**
在它之前全部是标注:账本记「播哪些词」,字幕记「屏上写什么」,画面记「盖什么层」, 预览把这三样实时拼给人看,**不落盘**。导出把它们烧成一个文件。
```text 需要 edit-list.json(必须)、subtitles.json、visuals.json + modules/ 产出 成片.mp4 ```
前提工具:机器上有 **Google Chrome**(用来把字幕和动画画成图)。桌面安装来源的 FFmpeg / FFprobe 已随 App 进入 Product 受管目录;纯 CLI 安装仍要求系统 `ffmpeg ≥ 6`。缺 Chrome 会明确报错,不要试图绕过——没有它就没有字幕层和动画层。
先读取并执行 [业务 Skill 的阶段合同](../../references/business-workflow-contract.md) 里的「结论等级」一节。**导出不进剪辑状态机**:它不改任何项目文件、不做 CAS 写入、 不推进 stage,产出是一个新文件,重跑一次就覆盖。所以它不需要确认卡。
## 0. 就绪
先执行 [检查更新](../chengfeng-check-updates/SKILL.md) 的「就绪检查」——skills 是否 最新、Runtime 是否配套;**插件根**也在那里定位(本文命令里的 `<插件根>` 都代入 那个字面路径)。只有「就绪」才继续;「需新会话」或「停」按它的处置执行 (含「禁止自制替代界面」禁令),业务 Skill 不自带环境逻辑。
若就绪结果为 `runtime.kind=desktop-managed`,直接复用桌面 App 已安装的稳定 CLI、 媒体工具与同一 `launchd/windows-task` 服务;不要解析 Electron 路径、另装 FFmpeg/Bun 或起第二个 Runtime。
## 命令
```bash node "<插件根>/scripts/ensure-running.cjs" --json node "<插件根>/scripts/videocut-cli.cjs" export <project> --dry-run --json # 先看计划,不编码 node "<插件根>/scripts/videocut-cli.cjs" export <project> --json # 出成片(默认 2 倍、源帧率) node "<插件根>/scripts/videocut-cli.cjs" export <project> --out /path/成片.mp4 --json node "<插件根>/scripts/videocut-cli.cjs" export <project> --scale 1 --json # 只要源尺寸 node "<插件根>/scripts/videocut-cli.cjs" export <project> --keep-work --json # 留下中间片和逐帧 PNG,供排查 ```
`ensure-running` 身份不匹配、端口冲突或服务不健康时立即停止;不允许用 foreground 临时顶替后继续导出。
## 两步,别只跑第二步
```text ① --dry-run 先报计划 片长、帧数、字幕屏数、画面层数、推近段数、输出尺寸 念给用户听。数字不对就是上游不对,编码十分钟不会修好它 ② 真跑 assemble → overlay → compose → verify 四段进度 ```
`--dry-run` 里的 `warnings` 必须原样转述。它只报一类事:**某些字幕屏或画面层的词 已经被剪掉了**,所以它们不会出现在成片里。这是上游要决定的事,不是导出该替人吞掉的。
## 清晰度:源片是天花板,先看源再谈放大
导出前看一眼源分辨率(`--dry-run` 的 `source` 字段就有):
```text 源宽 ≥2560(Retina 原生录屏) → --scale 1,输出就是原生像素,这是最好的情况 源宽 <1920(如 960×720) → 先停一下:问用户有没有同一次录制的高清导出。 录屏工具常常能把同一次录制重新导出成 3 倍分辨率, 换源比任何后期都管用(见下节)。确实没有 → --scale 2 ```
`--scale 2` 对低清源有用的原因:底片放大不会变清楚,但**字幕和动画是按输出尺寸 重画的**——观众真正在读的就是这两样;平台再压一次时,大图分到的码率也更高。
**不要为了「更清晰」去调 `--fps`。** 帧率跟着源片走;改它只会让动画的采样和录屏对不上。
## 换源:用户拿出同一次录制的高清版时
这不是导出流程的一部分——导出本身永远只读。换源是用户明确点头后的独立素材操作, 做完再回来正常导出。
**先判定是不是同一条**(前两条就足够硬):
```bash ffprobe -v error -show_entries format=duration -of csv=p=0 <两个文件> # 时长精确到毫秒相同 ffmpeg -v error -i <文件> -map 0:a:0 -c copy -f md5 - # 音频流逐位相同 # 再抽两三帧对比画面内容,眼睛确认 ```
**音频逐位相同 = 时间线相同**:逐词稿、账本、字幕、画面层全绑词 id,一个不用动。 这正是「绑词不绑秒」在换源这件事上的兑现。
**换源四步**(2026-07-29 真实走过一次;第 ③ 步当时漏了,剪辑预览当场报 「生成失败」——指纹记录不止一处,grep 旧指纹找全再动手):
```text ① 换文件 input/source.mp4 和 uploads/source.mp4 是硬链接对 —— 删两个,拷新文件到 input/,再建硬链接回 uploads/ (macOS 用 ln;Windows 用 New-Item -ItemType HardLink) ② 更新指纹 project.json 的 source.sha256 改成新文件的 ③ 再查一处 workbench.json 的 sourceSha256 也记着源片指纹, 剪辑预览管道校验的恰恰是这本 —— 漏了它,预览拒绝生成 (这是产品的正确行为:指纹对不上宁可失败,不拿旧预览冒充) ④ 重导 --scale 1 —— 换源就是为了原生像素,别再放大 ```
保险做法:用你的搜索工具在 <项目目录> 的全部 *.json 里找旧指纹前 8 位, 列出来的每一处都要处理(缓存记录如 preview-edited/current.json 会自动重算,不用手动改)。
音频不同(重新录了一遍、剪过、时长不一样)就**不是换源**,是新项目: 逐词稿要重新转,所有标注作废。别硬套。
## 验收:三件事,缺一件就不算导出完成
```text ① 命令成功返回 产品自己数成片的尺寸、帧数、音轨,和计划逐项比。 对不上就是 readback_mismatch 报错,文件留在盘上当证据, 不算导出完成 ② 抽帧看像素 从成片里抽帧,用眼睛看。至少覆盖:一个推近段、 一个整屏动画段、一个只有字幕的段、一个层与层的边界 ③ 人耳听感 没人真的听过,一律记 human listening UNVERIFIED ```
② 不许用预览截图代替。**预览和成片是两条渲染路径,验收要看的正是它们对不对得上**—— 拿预览的图当成片的证据,等于把要验的那件事当成了前提。
**判推近要找判别性地标,整体印象会骗人**(2026-07-29 真踩过):1.6 倍推近后的 屏幕页面看起来仍像"一整页",缩略图上和全景几乎没差别——曾把正确的推近帧误判成 "推近丢了",白追半小时、重导两次。正确判法是找**只有裁剪才能造成的证据**: 被裁掉一半的元素(气泡从中间断开)、消失的边缘元素(侧栏、标题栏)。 和源片同刻帧对比一眼定案。
抽帧就用 ffmpeg:
```bash ffmpeg -v error -ss 8.84 -i 成片.mp4 -frames:v 1 -y frame.png ```
## 出问题往哪查
`--keep-work` 会在项目的 `.chengfeng-videocut/export/` 下留三样东西, 它们把「哪一半错了」直接分开:
```text assembled.mkv 只有剪辑,没有任何盖的东西。它错 = 账本或切片错 overlay/*.png 只有盖的东西,透明底。它错 = 字幕样式或模块错 spans/*.mp4 合成后的分段。它错 = 推近或对齐错 ```
对照表:
```text 成片没有字幕/动画 overlay PNG 是不是全透明?模块是不是没答应 seek? 动画停在第一帧 模块没实现 seek,或者 GSAP 时间线没 paused 画面整块白 模块少了 `:root { color-scheme: dark }` 推近的框歪了 模块的 viewBox 和层的 zoom 不是同一组数 成片比计划短 某个 span 帧数不够,看 compose 阶段的报错 层边界闪一小段原片 overlay 截图陈旧(帧标记验证失效)。产品靠页面顶部的 帧标记条自证每张截图属于哪一帧;若复发,先确认 overlay PNG 顶部有标记条、compose 有裁掉它的 crop 找不到 Chrome 装 Google Chrome,别改成别的渲染路径 ```
## 不许做什么
- 不许把「导出成功」说成「验收通过」——命令返回成功只是产品自己对得上,不是画面对 - 不许用预览截图、DOM、日志代替成片抽帧 - 不许没人听过就报 human listening PASS - 不许为了让导出跑通去改项目文件(改字幕、删层、动账本)。导出只读,不写 - 不许在导出里补做上游的活:缺字幕就去写字幕,缺画面就去做画面,别在这一段临时糊一个
Source provenance
Decision snapshot
2,956 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for chengfeng-export, ready for a manual X post.
chengfeng-export: 把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕... 3.0K stars https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=x
Listing + install path for chengfeng-export: https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=x Install: npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Agentchengfeng but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export/audit)
[](https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Agentchengfeng
@agentchengfeng
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
175.1K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
85.2K StarsVox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
1.8K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
175.1K StarsReview then install
Install targets
Codex install prompt
Install the "chengfeng-export" agent skill from https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"agentchengfeng-chengfeng-export","task":"Install chengfeng-export","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Maintenance
fresh
17d since push
Risk
Safe to try
Quality score needs review
GitHub quality
3.0K
82/100 Quality · 82/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
3.0K GitHub stars
Repo activity
3.0K stars, 383 forks
Maintenance
17d since push
License
Apache-2.0
Install
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-exportDo not use when
Alternative
175.1K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
85.2K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
175.1K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20chengfeng-export%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20chengfeng-export%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/agentchengfeng-chengfeng-export/install
Agent should check
Copy prompt
Task: Use chengfeng-export in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20chengfeng-export%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/agentchengfeng-chengfeng-export/install
Install command: npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/agentchengfeng-chengfeng-export/install
LLM text format
/api/skills/agentchengfeng-chengfeng-export/install?format=text
Find alternatives
/api/skills/search?q=chengfeng-export&limit=3
Agent prompt
Use chengfeng-export for this task. Review https://www.openagentskill.com/api/skills/agentchengfeng-chengfeng-export/install, then install with: npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-exportRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/agentchengfeng-chengfeng-export
LLM text
/api/registry/manifest/agentchengfeng-chengfeng-export?format=text
Install alias
/api/registry/install/agentchengfeng-chengfeng-export
Recommend
/api/registry/recommend?task=Use%20chengfeng-export%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS3.0K GitHub stars
Stars/forks activity
PASS3.0K stars, 383 forks; issue activity unavailable in current metadata
Recent maintenance
PASS17d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: chengfeng-export description: 把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 user-invocable: true ---
# 导出(成片)
**这是链条最后一段,也是整个产品里唯一一个真正画出像素的地方。**
在它之前全部是标注:账本记「播哪些词」,字幕记「屏上写什么」,画面记「盖什么层」, 预览把这三样实时拼给人看,**不落盘**。导出把它们烧成一个文件。
```text 需要 edit-list.json(必须)、subtitles.json、visuals.json + modules/ 产出 成片.mp4 ```
前提工具:机器上有 **Google Chrome**(用来把字幕和动画画成图)。桌面安装来源的 FFmpeg / FFprobe 已随 App 进入 Product 受管目录;纯 CLI 安装仍要求系统 `ffmpeg ≥ 6`。缺 Chrome 会明确报错,不要试图绕过——没有它就没有字幕层和动画层。
先读取并执行 [业务 Skill 的阶段合同](../../references/business-workflow-contract.md) 里的「结论等级」一节。**导出不进剪辑状态机**:它不改任何项目文件、不做 CAS 写入、 不推进 stage,产出是一个新文件,重跑一次就覆盖。所以它不需要确认卡。
## 0. 就绪
先执行 [检查更新](../chengfeng-check-updates/SKILL.md) 的「就绪检查」——skills 是否 最新、Runtime 是否配套;**插件根**也在那里定位(本文命令里的 `<插件根>` 都代入 那个字面路径)。只有「就绪」才继续;「需新会话」或「停」按它的处置执行 (含「禁止自制替代界面」禁令),业务 Skill 不自带环境逻辑。
若就绪结果为 `runtime.kind=desktop-managed`,直接复用桌面 App 已安装的稳定 CLI、 媒体工具与同一 `launchd/windows-task` 服务;不要解析 Electron 路径、另装 FFmpeg/Bun 或起第二个 Runtime。
## 命令
```bash node "<插件根>/scripts/ensure-running.cjs" --json node "<插件根>/scripts/videocut-cli.cjs" export <project> --dry-run --json # 先看计划,不编码 node "<插件根>/scripts/videocut-cli.cjs" export <project> --json # 出成片(默认 2 倍、源帧率) node "<插件根>/scripts/videocut-cli.cjs" export <project> --out /path/成片.mp4 --json node "<插件根>/scripts/videocut-cli.cjs" export <project> --scale 1 --json # 只要源尺寸 node "<插件根>/scripts/videocut-cli.cjs" export <project> --keep-work --json # 留下中间片和逐帧 PNG,供排查 ```
`ensure-running` 身份不匹配、端口冲突或服务不健康时立即停止;不允许用 foreground 临时顶替后继续导出。
## 两步,别只跑第二步
```text ① --dry-run 先报计划 片长、帧数、字幕屏数、画面层数、推近段数、输出尺寸 念给用户听。数字不对就是上游不对,编码十分钟不会修好它 ② 真跑 assemble → overlay → compose → verify 四段进度 ```
`--dry-run` 里的 `warnings` 必须原样转述。它只报一类事:**某些字幕屏或画面层的词 已经被剪掉了**,所以它们不会出现在成片里。这是上游要决定的事,不是导出该替人吞掉的。
## 清晰度:源片是天花板,先看源再谈放大
导出前看一眼源分辨率(`--dry-run` 的 `source` 字段就有):
```text 源宽 ≥2560(Retina 原生录屏) → --scale 1,输出就是原生像素,这是最好的情况 源宽 <1920(如 960×720) → 先停一下:问用户有没有同一次录制的高清导出。 录屏工具常常能把同一次录制重新导出成 3 倍分辨率, 换源比任何后期都管用(见下节)。确实没有 → --scale 2 ```
`--scale 2` 对低清源有用的原因:底片放大不会变清楚,但**字幕和动画是按输出尺寸 重画的**——观众真正在读的就是这两样;平台再压一次时,大图分到的码率也更高。
**不要为了「更清晰」去调 `--fps`。** 帧率跟着源片走;改它只会让动画的采样和录屏对不上。
## 换源:用户拿出同一次录制的高清版时
这不是导出流程的一部分——导出本身永远只读。换源是用户明确点头后的独立素材操作, 做完再回来正常导出。
**先判定是不是同一条**(前两条就足够硬):
```bash ffprobe -v error -show_entries format=duration -of csv=p=0 <两个文件> # 时长精确到毫秒相同 ffmpeg -v error -i <文件> -map 0:a:0 -c copy -f md5 - # 音频流逐位相同 # 再抽两三帧对比画面内容,眼睛确认 ```
**音频逐位相同 = 时间线相同**:逐词稿、账本、字幕、画面层全绑词 id,一个不用动。 这正是「绑词不绑秒」在换源这件事上的兑现。
**换源四步**(2026-07-29 真实走过一次;第 ③ 步当时漏了,剪辑预览当场报 「生成失败」——指纹记录不止一处,grep 旧指纹找全再动手):
```text ① 换文件 input/source.mp4 和 uploads/source.mp4 是硬链接对 —— 删两个,拷新文件到 input/,再建硬链接回 uploads/ (macOS 用 ln;Windows 用 New-Item -ItemType HardLink) ② 更新指纹 project.json 的 source.sha256 改成新文件的 ③ 再查一处 workbench.json 的 sourceSha256 也记着源片指纹, 剪辑预览管道校验的恰恰是这本 —— 漏了它,预览拒绝生成 (这是产品的正确行为:指纹对不上宁可失败,不拿旧预览冒充) ④ 重导 --scale 1 —— 换源就是为了原生像素,别再放大 ```
保险做法:用你的搜索工具在 <项目目录> 的全部 *.json 里找旧指纹前 8 位, 列出来的每一处都要处理(缓存记录如 preview-edited/current.json 会自动重算,不用手动改)。
音频不同(重新录了一遍、剪过、时长不一样)就**不是换源**,是新项目: 逐词稿要重新转,所有标注作废。别硬套。
## 验收:三件事,缺一件就不算导出完成
```text ① 命令成功返回 产品自己数成片的尺寸、帧数、音轨,和计划逐项比。 对不上就是 readback_mismatch 报错,文件留在盘上当证据, 不算导出完成 ② 抽帧看像素 从成片里抽帧,用眼睛看。至少覆盖:一个推近段、 一个整屏动画段、一个只有字幕的段、一个层与层的边界 ③ 人耳听感 没人真的听过,一律记 human listening UNVERIFIED ```
② 不许用预览截图代替。**预览和成片是两条渲染路径,验收要看的正是它们对不对得上**—— 拿预览的图当成片的证据,等于把要验的那件事当成了前提。
**判推近要找判别性地标,整体印象会骗人**(2026-07-29 真踩过):1.6 倍推近后的 屏幕页面看起来仍像"一整页",缩略图上和全景几乎没差别——曾把正确的推近帧误判成 "推近丢了",白追半小时、重导两次。正确判法是找**只有裁剪才能造成的证据**: 被裁掉一半的元素(气泡从中间断开)、消失的边缘元素(侧栏、标题栏)。 和源片同刻帧对比一眼定案。
抽帧就用 ffmpeg:
```bash ffmpeg -v error -ss 8.84 -i 成片.mp4 -frames:v 1 -y frame.png ```
## 出问题往哪查
`--keep-work` 会在项目的 `.chengfeng-videocut/export/` 下留三样东西, 它们把「哪一半错了」直接分开:
```text assembled.mkv 只有剪辑,没有任何盖的东西。它错 = 账本或切片错 overlay/*.png 只有盖的东西,透明底。它错 = 字幕样式或模块错 spans/*.mp4 合成后的分段。它错 = 推近或对齐错 ```
对照表:
```text 成片没有字幕/动画 overlay PNG 是不是全透明?模块是不是没答应 seek? 动画停在第一帧 模块没实现 seek,或者 GSAP 时间线没 paused 画面整块白 模块少了 `:root { color-scheme: dark }` 推近的框歪了 模块的 viewBox 和层的 zoom 不是同一组数 成片比计划短 某个 span 帧数不够,看 compose 阶段的报错 层边界闪一小段原片 overlay 截图陈旧(帧标记验证失效)。产品靠页面顶部的 帧标记条自证每张截图属于哪一帧;若复发,先确认 overlay PNG 顶部有标记条、compose 有裁掉它的 crop 找不到 Chrome 装 Google Chrome,别改成别的渲染路径 ```
## 不许做什么
- 不许把「导出成功」说成「验收通过」——命令返回成功只是产品自己对得上,不是画面对 - 不许用预览截图、DOM、日志代替成片抽帧 - 不许没人听过就报 human listening PASS - 不许为了让导出跑通去改项目文件(改字幕、删层、动账本)。导出只读,不写 - 不许在导出里补做上游的活:缺字幕就去写字幕,缺画面就去做画面,别在这一段临时糊一个
Source provenance
Decision snapshot
2,956 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for chengfeng-export, ready for a manual X post.
chengfeng-export: 把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕... 3.0K stars https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=x
Listing + install path for chengfeng-export: https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=x Install: npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Agentchengfeng but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export/audit)
[](https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Agentchengfeng
@agentchengfeng
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
175.1K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
85.2K StarsVox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
1.8K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
175.1K StarsReview then install
Install targets
Codex install prompt
Install the "chengfeng-export" agent skill from https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"agentchengfeng-chengfeng-export","task":"Install chengfeng-export","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Maintenance
fresh
17d since push
Risk
Safe to try
Quality score needs review
GitHub quality
3.0K
82/100 Quality · 82/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
3.0K GitHub stars
Repo activity
3.0K stars, 383 forks
Maintenance
17d since push
License
Apache-2.0
Install
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-exportDo not use when
Alternative
175.1K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
85.2K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
175.1K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20chengfeng-export%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20chengfeng-export%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/agentchengfeng-chengfeng-export/install
Agent should check
Copy prompt
Task: Use chengfeng-export in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20chengfeng-export%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/agentchengfeng-chengfeng-export/install
Install command: npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/agentchengfeng-chengfeng-export/install
LLM text format
/api/skills/agentchengfeng-chengfeng-export/install?format=text
Find alternatives
/api/skills/search?q=chengfeng-export&limit=3
Agent prompt
Use chengfeng-export for this task. Review https://www.openagentskill.com/api/skills/agentchengfeng-chengfeng-export/install, then install with: npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-exportRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/agentchengfeng-chengfeng-export
LLM text
/api/registry/manifest/agentchengfeng-chengfeng-export?format=text
Install alias
/api/registry/install/agentchengfeng-chengfeng-export
Recommend
/api/registry/recommend?task=Use%20chengfeng-export%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS3.0K GitHub stars
Stars/forks activity
PASS3.0K stars, 383 forks; issue activity unavailable in current metadata
Recent maintenance
PASS17d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
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Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
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Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: chengfeng-export description: 把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 user-invocable: true ---
# 导出(成片)
**这是链条最后一段,也是整个产品里唯一一个真正画出像素的地方。**
在它之前全部是标注:账本记「播哪些词」,字幕记「屏上写什么」,画面记「盖什么层」, 预览把这三样实时拼给人看,**不落盘**。导出把它们烧成一个文件。
```text 需要 edit-list.json(必须)、subtitles.json、visuals.json + modules/ 产出 成片.mp4 ```
前提工具:机器上有 **Google Chrome**(用来把字幕和动画画成图)。桌面安装来源的 FFmpeg / FFprobe 已随 App 进入 Product 受管目录;纯 CLI 安装仍要求系统 `ffmpeg ≥ 6`。缺 Chrome 会明确报错,不要试图绕过——没有它就没有字幕层和动画层。
先读取并执行 [业务 Skill 的阶段合同](../../references/business-workflow-contract.md) 里的「结论等级」一节。**导出不进剪辑状态机**:它不改任何项目文件、不做 CAS 写入、 不推进 stage,产出是一个新文件,重跑一次就覆盖。所以它不需要确认卡。
## 0. 就绪
先执行 [检查更新](../chengfeng-check-updates/SKILL.md) 的「就绪检查」——skills 是否 最新、Runtime 是否配套;**插件根**也在那里定位(本文命令里的 `<插件根>` 都代入 那个字面路径)。只有「就绪」才继续;「需新会话」或「停」按它的处置执行 (含「禁止自制替代界面」禁令),业务 Skill 不自带环境逻辑。
若就绪结果为 `runtime.kind=desktop-managed`,直接复用桌面 App 已安装的稳定 CLI、 媒体工具与同一 `launchd/windows-task` 服务;不要解析 Electron 路径、另装 FFmpeg/Bun 或起第二个 Runtime。
## 命令
```bash node "<插件根>/scripts/ensure-running.cjs" --json node "<插件根>/scripts/videocut-cli.cjs" export <project> --dry-run --json # 先看计划,不编码 node "<插件根>/scripts/videocut-cli.cjs" export <project> --json # 出成片(默认 2 倍、源帧率) node "<插件根>/scripts/videocut-cli.cjs" export <project> --out /path/成片.mp4 --json node "<插件根>/scripts/videocut-cli.cjs" export <project> --scale 1 --json # 只要源尺寸 node "<插件根>/scripts/videocut-cli.cjs" export <project> --keep-work --json # 留下中间片和逐帧 PNG,供排查 ```
`ensure-running` 身份不匹配、端口冲突或服务不健康时立即停止;不允许用 foreground 临时顶替后继续导出。
## 两步,别只跑第二步
```text ① --dry-run 先报计划 片长、帧数、字幕屏数、画面层数、推近段数、输出尺寸 念给用户听。数字不对就是上游不对,编码十分钟不会修好它 ② 真跑 assemble → overlay → compose → verify 四段进度 ```
`--dry-run` 里的 `warnings` 必须原样转述。它只报一类事:**某些字幕屏或画面层的词 已经被剪掉了**,所以它们不会出现在成片里。这是上游要决定的事,不是导出该替人吞掉的。
## 清晰度:源片是天花板,先看源再谈放大
导出前看一眼源分辨率(`--dry-run` 的 `source` 字段就有):
```text 源宽 ≥2560(Retina 原生录屏) → --scale 1,输出就是原生像素,这是最好的情况 源宽 <1920(如 960×720) → 先停一下:问用户有没有同一次录制的高清导出。 录屏工具常常能把同一次录制重新导出成 3 倍分辨率, 换源比任何后期都管用(见下节)。确实没有 → --scale 2 ```
`--scale 2` 对低清源有用的原因:底片放大不会变清楚,但**字幕和动画是按输出尺寸 重画的**——观众真正在读的就是这两样;平台再压一次时,大图分到的码率也更高。
**不要为了「更清晰」去调 `--fps`。** 帧率跟着源片走;改它只会让动画的采样和录屏对不上。
## 换源:用户拿出同一次录制的高清版时
这不是导出流程的一部分——导出本身永远只读。换源是用户明确点头后的独立素材操作, 做完再回来正常导出。
**先判定是不是同一条**(前两条就足够硬):
```bash ffprobe -v error -show_entries format=duration -of csv=p=0 <两个文件> # 时长精确到毫秒相同 ffmpeg -v error -i <文件> -map 0:a:0 -c copy -f md5 - # 音频流逐位相同 # 再抽两三帧对比画面内容,眼睛确认 ```
**音频逐位相同 = 时间线相同**:逐词稿、账本、字幕、画面层全绑词 id,一个不用动。 这正是「绑词不绑秒」在换源这件事上的兑现。
**换源四步**(2026-07-29 真实走过一次;第 ③ 步当时漏了,剪辑预览当场报 「生成失败」——指纹记录不止一处,grep 旧指纹找全再动手):
```text ① 换文件 input/source.mp4 和 uploads/source.mp4 是硬链接对 —— 删两个,拷新文件到 input/,再建硬链接回 uploads/ (macOS 用 ln;Windows 用 New-Item -ItemType HardLink) ② 更新指纹 project.json 的 source.sha256 改成新文件的 ③ 再查一处 workbench.json 的 sourceSha256 也记着源片指纹, 剪辑预览管道校验的恰恰是这本 —— 漏了它,预览拒绝生成 (这是产品的正确行为:指纹对不上宁可失败,不拿旧预览冒充) ④ 重导 --scale 1 —— 换源就是为了原生像素,别再放大 ```
保险做法:用你的搜索工具在 <项目目录> 的全部 *.json 里找旧指纹前 8 位, 列出来的每一处都要处理(缓存记录如 preview-edited/current.json 会自动重算,不用手动改)。
音频不同(重新录了一遍、剪过、时长不一样)就**不是换源**,是新项目: 逐词稿要重新转,所有标注作废。别硬套。
## 验收:三件事,缺一件就不算导出完成
```text ① 命令成功返回 产品自己数成片的尺寸、帧数、音轨,和计划逐项比。 对不上就是 readback_mismatch 报错,文件留在盘上当证据, 不算导出完成 ② 抽帧看像素 从成片里抽帧,用眼睛看。至少覆盖:一个推近段、 一个整屏动画段、一个只有字幕的段、一个层与层的边界 ③ 人耳听感 没人真的听过,一律记 human listening UNVERIFIED ```
② 不许用预览截图代替。**预览和成片是两条渲染路径,验收要看的正是它们对不对得上**—— 拿预览的图当成片的证据,等于把要验的那件事当成了前提。
**判推近要找判别性地标,整体印象会骗人**(2026-07-29 真踩过):1.6 倍推近后的 屏幕页面看起来仍像"一整页",缩略图上和全景几乎没差别——曾把正确的推近帧误判成 "推近丢了",白追半小时、重导两次。正确判法是找**只有裁剪才能造成的证据**: 被裁掉一半的元素(气泡从中间断开)、消失的边缘元素(侧栏、标题栏)。 和源片同刻帧对比一眼定案。
抽帧就用 ffmpeg:
```bash ffmpeg -v error -ss 8.84 -i 成片.mp4 -frames:v 1 -y frame.png ```
## 出问题往哪查
`--keep-work` 会在项目的 `.chengfeng-videocut/export/` 下留三样东西, 它们把「哪一半错了」直接分开:
```text assembled.mkv 只有剪辑,没有任何盖的东西。它错 = 账本或切片错 overlay/*.png 只有盖的东西,透明底。它错 = 字幕样式或模块错 spans/*.mp4 合成后的分段。它错 = 推近或对齐错 ```
对照表:
```text 成片没有字幕/动画 overlay PNG 是不是全透明?模块是不是没答应 seek? 动画停在第一帧 模块没实现 seek,或者 GSAP 时间线没 paused 画面整块白 模块少了 `:root { color-scheme: dark }` 推近的框歪了 模块的 viewBox 和层的 zoom 不是同一组数 成片比计划短 某个 span 帧数不够,看 compose 阶段的报错 层边界闪一小段原片 overlay 截图陈旧(帧标记验证失效)。产品靠页面顶部的 帧标记条自证每张截图属于哪一帧;若复发,先确认 overlay PNG 顶部有标记条、compose 有裁掉它的 crop 找不到 Chrome 装 Google Chrome,别改成别的渲染路径 ```
## 不许做什么
- 不许把「导出成功」说成「验收通过」——命令返回成功只是产品自己对得上,不是画面对 - 不许用预览截图、DOM、日志代替成片抽帧 - 不许没人听过就报 human listening PASS - 不许为了让导出跑通去改项目文件(改字幕、删层、动账本)。导出只读,不写 - 不许在导出里补做上游的活:缺字幕就去写字幕,缺画面就去做画面,别在这一段临时糊一个
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chengfeng-export: 把剪好的口播烧成一个成片文件:账本切片段、推近、字幕、HTML 画面层,一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕... 3.0K stars https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export?ref=x
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Docs
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shell or command execution, filesystem or document access
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Docs
Strong README/SKILL.md context
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