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Edit Video

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install edit-video
功能描述
edit raw video footage into edited video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators and marketers use it for t...
使用说明 (SKILL.md)

Getting Started

Share your raw video footage and I'll get started on AI video editing. Or just tell me what you're thinking.

Try saying:

  • "edit my raw video footage"
  • "export 1080p MP4"
  • "trim the silent parts, add transitions,"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Edit Video — Trim, Enhance, and Export Videos

Drop your raw video footage in the chat and tell me what you need. I'll handle the AI video editing on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 2-minute unedited screen recording, ask for trim the silent parts, add transitions, and overlay background music, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter clips under 60 seconds process significantly faster.

Matching Input to Actions

User prompts referencing edit video, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source edit-video
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You do
"click [button]" / "点击" Execute via API
"open [panel]" / "打开" Query session state
"drag/drop" / "拖拽" Send edit via SSE
"preview in timeline" Show track summary
"Export button" / "导出" Execute export workflow

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the silent parts, add transitions, and overlay background music" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 for the widest compatibility across platforms.

Common Workflows

Quick edit: Upload → "trim the silent parts, add transitions, and overlay background music" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

安全使用建议
Install only if you are comfortable using NemoVideo’s cloud service for editing. Avoid uploading confidential footage unless you trust the provider, and ask for confirmation before exports or credit-consuming operations.
功能分析
Type: OpenClaw Skill Name: edit-video Version: 1.0.0 The skill bundle provides a legitimate integration for video editing services via the nemovideo.ai API. It contains detailed instructions for the AI agent to manage sessions, handle file uploads, and process video editing tasks using standard REST and SSE protocols. No indicators of data exfiltration, malicious code execution, or harmful prompt injection were found; the requested environment variables and configuration paths are specific to the service's own operation.
能力评估
Purpose & Capability
The stated capabilities—uploading raw footage, editing it, and exporting 1080p MP4—fit the skill purpose, but they depend on a third-party cloud processing API.
Instruction Scope
The skill includes automatic connection/session setup and maps backend GUI-style responses into API actions. This is coherent for the service workflow, but users should expect remote API activity.
Install Mechanism
No install spec, code files, binaries, or package dependencies are present; this is an instruction-only skill.
Credentials
The NEMO_TOKEN credential and cloud upload behavior are proportionate to a cloud video-editing skill, but uploaded media may contain private or sensitive content.
Persistence & Privilege
The skill uses a 7-day anonymous token, a session ID, and cloud render jobs. There is no evidence of local background persistence or privileged local access.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install edit-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /edit-video 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of "Edit Video — Trim, Enhance, and Export Videos". - Upload MP4, MOV, AVI, or WebM videos up to 500MB and edit them in the cloud. - AI-powered workflows support trimming silent parts, adding transitions, BGM, text overlays, and more. - Quick export to 1080p MP4, usually within 1-2 minutes; shorter clips process faster. - Handles session authentication, credit checks, and error messages automatically. - Provides clear status updates, workflow tips, and detailed timeline summaries.
元数据
Slug edit-video
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Edit Video 是什么?

edit raw video footage into edited video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators and marketers use it for t... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 59 次。

如何安装 Edit Video?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install edit-video」即可一键安装,无需额外配置。

Edit Video 是免费的吗?

是的,Edit Video 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Edit Video 支持哪些平台?

Edit Video 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Edit Video?

由 vcarolxhberger(@vcarolxhberger)开发并维护,当前版本 v1.0.0。

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