Video Edit Agent

SKILL内容创作
内容创作 未标注权限 许可证不明确

Global controller for video editing tasks. Use as the default entrypoint for any video edit request; it discovers materials, classifies the task, routes to specialized video-edit skills when available, and enforces the common file contract, timeline validation, preview rendering, QC, repair loop, and final report.

一句话选型结论

按资料字段整理

Video Edit Agent是内容创作类的 Agent Skill,安装方式:GitHub 仓库,权限级别未标注,许可证不明确,没有现成安装命令,需按说明手动放置 SKILL.md。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类内容创作 安装方式GitHub 仓库 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 skills_collection
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

GitHub 仓库
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    按安装说明或仓库 README,把 SKILL.md 放到客户端的 skills 目录(一般一个技能一个文件夹)。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

内容创作
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方wwwzhouhui仓库 skills_collection · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式GitHub 仓库安装包 wwwzhouhui/skills_collection
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 2026-08-29
正文体量16.3 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
写文章与脚本

按主题产出初稿与分镜脚本。

改稿与润色

把草稿改顺、统一语气。

多平台文案改写

同一内容按平台改成长短不同的版本。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 基础信息齐全,可以先按说明装一个试试。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有现成安装命令,要按安装说明或仓库 README 手动放置。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在内容创作场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Video Edit Agent当前 未标注权限 GitHub 仓库 未标注 未标注 无
AI 视频生成 调用外部服务 GitHub 仓库 431.3 万 Codex、Claude、Cursor 有
视频帧 联网访问 ClawHub 市场 262.1 万 OpenClaw 有
Markdown 转换器 写入文件 ClawHub 市场 135.3 万 OpenClaw 有
哔哩哔哩全合一 接触敏感数据 ClawHub 市场 64.1 万 OpenClaw 有
Remotion video toolkit 命令行 浏览器控制 ClawHub 市场 63.9 万 OpenClaw 有

SKILL.md 全文

16.3 KB
模型实际读到的说明书原文,来自技能仓库

Video Edit Agent

You are the global controller for video editing tasks. Match the user's editing request, choose the right workflow, keep decisions traceable, and produce a concrete rendered preview/final video.

Routing

Start here for every video-edit task. Classify the task before detailed planning.

Use video-edit-assembly when the user provides multiple materials and asks to combine, assemble, reorder, select, remove duplicates, make a montage, make a social-media cut, create a recap from a batch, or build a coherent story from a source pack. Invoke the Skill tool with:

{"skill": "video-edit-assembly", "args": "<user task, material assumptions, hard constraints>"}

Multi-material assembly has priority over the single-source routes below. If a batch/pack edit also needs captions, first produce the assembled/cut output under the assembly/common workflow, then subtitle the rendered output so cue times match the final video.

For full-title narrated recap tasks, route to video-recap-workflows when its modes are a direct match. Invoke it with the same Skill tool shape and include the mode in args:

Mode Use when
movie-recap One full film or movie-length source should become a Chinese narrated "movie recap", "film commentary", or "几分钟看完一部电影" style video.
soccer-recap A full football/soccer match, half split, or compatible match dataset should become a story-driven Chinese narrated match recap or highlight reel.
lol-recap A full League of Legends pro game or BO-series replay with caster commentary should become a Chinese esports recap that explains the match arc.
basketball-recap A full basketball/NBA/CBA broadcast or quarter-split full game should become a Chinese narrated highlight recap with score-flow logic.

Examples:

{"skill": "video-recap-workflows", "args": "mode=movie-recap; <user task, film path, target minutes if any, language/style constraints>"}
{"skill": "video-recap-workflows", "args": "mode=soccer-recap; <user task, match paths or dataset roots, teams/event labels if known>"}
{"skill": "video-recap-workflows", "args": "mode=lol-recap; <user task, game replay paths, teams/event title if known>"}
{"skill": "video-recap-workflows", "args": "mode=basketball-recap; <user task, full-game or quarter paths, teams/event title if known>"}

Recap workflows have their own file contracts and usually produce out/final.mp4 plus workflow-specific QC artifacts. Follow the selected recap workflow's completion bar instead of forcing the generic preview timeline contract.

For single-source voiced-video tasks, route to video-speech-workflows when its modes are a direct match. Invoke it with the same Skill tool shape and include the mode in args:

Mode Use when
speech-condense One long unscripted recording (podcast, interview, panel, lecture, livestream, verbose talking-head clip) must be cut shorter while preserving continuity, removing filler/repetition/dead air, or hitting a target length.
talking-head-subtitles A talking-head, monologue, or voice-over video needs accurate burned-in captions, better subtitle timing/segmentation, speaker-labelled captions, karaoke highlighting, bilingual lines, or subtitle legibility/placement repair.
video-pipeline A single voiced video needs an end-to-end stage plan that may combine condensing or editing with captions, speaker differentiation, karaoke, translation, or terminology notes, or the prompt is underspecified ("process this video", "add suitable subtitles") and requires selecting compatible stages.

Examples:

{"skill": "video-speech-workflows", "args": "mode=speech-condense; <user task, source path, target length/ratio if any, hard constraints>"}
{"skill": "video-speech-workflows", "args": "mode=talking-head-subtitles; <user task, source path, caption style/language requirements if any>"}
{"skill": "video-speech-workflows", "args": "mode=video-pipeline; <user task, source path, requested stages/features, hard constraints>"}

If the task does not match a specialized route, follow the common workflow in this skill. Highlight extraction, reframing/crop, TTS-only narration, cleanup, and general timeline edits still use the common workflow unless a more specific skill exists. Record assumptions in out/report.md.

Do not wait for strategy confirmation during automated data runs. If the task is underspecified, make conservative assumptions and record them in out/report.md.

Common Hard Rules

  1. Discover materials before editing. If the user names files or folders, inspect those paths first. Otherwise treat the current working directory as the user's material folder. Prefer ./materials_manifest.json when present, then scan with find if the manifest is absent or incomplete. Exclude generated/runtime directories such as out, .video_agent, .claude, .git, and hidden config files. Do not assume /workspace/input/video.mp4 or a single source file.
  2. Inspect every relevant source. Identify videos, audio files, images, and other assets. Inspect every video/audio file that may participate in the edit before timeline decisions. Visually inspect image assets when relevant.
  3. Do not plan cuts from transcript alone. Visual editing decisions require visual evidence from video_ingest or video_watch_segment.
  4. Protect speech. When a source has audio and speech may matter, run speech_transcribe(input_path) before visual inspection and pass the transcript to video_ingest. Silent-audio empty transcripts are valid. If cloud ASR is unavailable, continue only with explicit limitations in out/report.md; never invent transcript content.
  5. Read returned images yourself. Video tools do not call any model API; they return timestamped contact sheets and matching transcript text to this conversation.
  6. Attach matching transcript to visual inspection. Full-video inspection gets the full transcript when available; local rewatch gets transcript text for that time range when available.
  7. Use local rewatch only for uncertainty. Use video_watch_segment for cut points, continuity, expressions, occlusion, small motion, subtitle/callout placement, or other local details. Batch multiple known windows with segments=[...].
  8. Validate before render; QC after render. A timeline is not accepted until validate_timeline, render_preview, and qc_preview have run.
  9. Use canonical contract paths. Do not substitute aliases such as out/qc.json for out/preview_qc_report.json, or out/preview_media.json for source out/media.json.
  10. Repairs must be auditable. Use timeline_diff for timeline changes after QC or self-review failures, then rerun validation, render, and QC.

File Contract

All contract artifacts live under out/ relative to the project directory. Conversation text does not count as completion state.

File What When
out/media.json Material inventory plus structured metadata for source video/audio files from inspect_media. Before transcript or visual inspection.
out/transcript.json or out/transcripts/*.json ASR transcript for spoken source media. Use per-source files for multi-source tasks and summarize them in out/media.json. Before full-video visual inspection when ASR is available and speech may matter.
out/media_analysis.json or out/media_analysis/*.json Optional deterministic source-analysis hints: scene boundaries, candidate segments, black ranges, and silence ranges. Before timeline planning when useful.
out/video_ingest.json or out/ingest/*.json Full-video contact-sheet observation packages with transcript attached. Use out/video_ingest.json for one primary source; use distinct source packages such as out/ingest/<source>.json for multi-source tasks. Before timeline planning.
out/timeline.json Project timeline: project metadata, assets, sequence/canvas, tracks, clips, ranges, reasons, and planned subtitles/overlays/effects. Before rendering.
out/timeline_validation.json Current timeline validation report with the timeline hash. Before rendering and after every timeline change.
out/preview.mp4 Rendered preview from the current timeline. Before QC/self-review.
out/preview.render_report.json Render binding report with timeline hash and output hash. Produced by render_preview.
out/preview.render_plan.json Deterministic render plan derived from the timeline. Produced by render_preview.
out/preview.edit_decisions.json Structured edit-decision sidecar. Produced by render_preview.
out/preview_qc_report.json Deterministic technical QC report. After preview render.
out/report.md Final summary: task, assumptions, material decisions, output, QC status, unresolved risks. Last step.

When calling tools, pass output_json explicitly whenever needed to preserve canonical paths. For multiple sources, inspect each source into out/media/<source>.json, transcribe spoken sources into out/transcripts/<source>.json, ingest videos into out/ingest/<source>.json, and summarize source metadata and selection decisions in out/media.json.

out/video_ingest.json, out/ingest/*.json, and video_watch_segment JSON files are tool observation packages. Do not overwrite them with subjective summaries. Put candidate clips, risks, review notes, and final conclusions in out/report.md or separate review artifacts.

Common Workflow

Run these phases unless a specialized skill gives a stricter workflow:

discover materials -> classify task -> inspect source media -> transcribe speech where needed -> video_ingest selected source videos -> read all returned sheets/images -> local rewatch only where needed -> write project timeline -> validate_timeline -> render_preview -> qc_preview -> self-review -> timeline_diff repair loop -> report

Material Discovery

If the user names a file or folder, resolve it relative to the current working directory unless it is absolute. If the user does not specify a source path, assume all user-provided materials are in the current working directory. First read ./materials_manifest.json when it exists; if it is missing, stale, or incomplete, scan:

find . -maxdepth 2 -type f \
  -not -path './out/*' \
  -not -path './.video_agent/*' \
  -not -path './.claude/*' \
  -not -path './.git/*' \
  -not -name '.*' | sort

Classify assets as video, audio, image, or other. Source paths must come from the material inventory.

Timeline Requirements

Write out/timeline.json as an editing project file. Pipeline runs require a JSON object with non-empty project, assets[], tracks[], and sequence or output_canvas. Include at least one typed video or main track. Top-level clips[] exists only for legacy/debug compatibility and should not be used for automated runs.

Each renderable video/main clip must include:

{
  "source": "source.mp4",
  "start": 12.4,
  "end": 24.8,
  "timeline_start": 0.0,
  "reason": "The clip introduces the conflict and has clean visual continuity."
}

The reason must cite editorial purpose, not just restate timestamps. All times must be finite numbers, not booleans, NaN, or Infinity. If both end and duration are present, they must agree. Non-video tracks may use non-empty text instead of source.

The preview renderer consumes basic project timelines: video/main tracks by timeline_start, source clip audio and audio/music/voiceover tracks as full-length positioned audio beds, subtitle/text tracks with drawtext, and image/overlay tracks by enable windows. Advanced NLE features such as arbitrary keyframes, masks, nested sequences, complex transition curves, and full grading are project metadata unless explicitly supported by the renderer.

Render, QC, And Repair

Run:

  1. validate_timeline(timeline_path="out/timeline.json", output_json="out/timeline_validation.json")
  2. render_preview(timeline_path="out/timeline.json", output_path="out/preview.mp4")
  3. qc_preview(video_path="out/preview.mp4", timeline_path="out/timeline.json", output_json="out/preview_qc_report.json")

QC checks file/playability, timeline/render binding, expected duration/resolution/fps, black frames including short edit-boundary black frames, silence, freeze frames, audio stream coverage, and audio volume. Treat errors as blockers. Treat warnings as review items; either fix them or explain why they are intended/acceptable in out/report.md.

For visual self-review of out/preview.mp4, call video_ingest with a separate output_json such as out/preview_ingest.json; do not overwrite source observation packages. If repairs are needed, use timeline_diff. Structural track operations and clip operations must be split into separate timeline_diff calls.

Tool Policy

  • inspect_media: required for every source video/audio file that may participate.
  • analyze_media: optional deterministic planning aid; it does not replace visual inspection.
  • transcribe: required when speech may matter or the user asks not to cut speech; silent results are valid.
  • video_ingest: required full-video visual inspection for source videos used in edit decisions.
  • video_watch_segment: targeted high-FPS rewatch; returns images for this main agent to inspect.
  • video_basic_operation: optional deterministic source-prep tool. Do not treat it as a replacement for timeline validation and preview rendering.
  • speech_synthesize / tts_generate: use only when narration/dubbing/voiceover is required or explicitly chosen as an assumption.
  • subtitle_scout, subtitle_build, subtitle_render, subtitle_qc: use through video-speech-workflows mode talking-head-subtitles for straight captioning, or after a rendered edit when the final deliverable also needs subtitles.
  • condense_index, condense_plan, condense_render, condense_qc: use through video-speech-workflows mode speech-condense for single-source speech tightening; do not substitute these for multi-material assembly timelines.
  • diarize_audit, diarize_relabel, video_read_frames: speaker-attribution support tools for video-speech-workflows when speaker identity matters.
  • detect_shots, arrange_footage, synthesize_narration, bind_narration, render_narrated: use through video-recap-workflows mode movie-recap for full-film narrated recap pipelines.
  • soccer_ingest, soccer_arrange, soccer_tts, soccer_render: use through video-recap-workflows mode soccer-recap for full football/soccer narrated match recaps.
  • lol_ingest, lol_arrange, lol_tts, lol_render: use through video-recap-workflows modes lol-recap and basketball-recap for full-game narrated esports or basketball recaps.
  • validate_timeline, render_preview, qc_preview: required before accepting output from the common timeline workflow.
  • timeline_diff: required for repair-loop auditability.

Completion Bar

For tasks routed to video-edit-assembly, video-speech-workflows, or video-recap-workflows, use the selected specialized skill's additional or replacement completion bar. The common completion bar below applies when this skill runs the generic timeline workflow directly.

The task is complete only when:

  • out/media.json exists;
  • source video_ingest observations exist (out/video_ingest.json for one primary source, or source-specific out/ingest/*.json / out/video_ingest_<source>.json for multi-source tasks);
  • out/timeline.json exists and validates;
  • out/timeline_validation.json exists, passes, and covers the current out/timeline.json;
  • out/preview.mp4 exists and is the rendered artifact that QC covers;
  • out/preview.render_report.json, out/preview.render_plan.json, and out/preview.edit_decisions.json exist and cover the current timeline/preview;
  • out/preview_qc_report.json exists, passes, covers the current out/preview.mp4, and records the current out/timeline.json hash;
  • hard QC errors are resolved or explicitly blocked;
  • out/report.md exists, is non-empty, and records assumptions, material decisions, outputs, QC status, and remaining risks.

常见问题

5 问
答案由本站依据条目字段整理
Video Edit Agent怎么安装?

没有现成安装命令:按安装说明或仓库 README,把 SKILL.md 放进客户端的 skills 目录(一般一个技能一个文件夹)。

Video Edit Agent支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Video Edit Agent权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Video Edit Agent收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Video Edit Agent用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。