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Ai Video Editor Capcut

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install ai-video-editor-capcut
功能描述
edit raw video clips into edited MP4 clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. TikTok creators use it for automatically editin...
使用说明 (SKILL.md)

Getting Started

Ready when you are. Drop your raw video clips here or describe what you want to make.

Try saying:

  • "edit a 60-second phone-recorded clip into a 1080p MP4"
  • "trim the footage, add transitions, and overlay background music"
  • "automatically editing short-form videos for TikTok and Reels for TikTok creators"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

AI Video Editor CapCut — Edit and Export Polished Videos

Drop your raw video clips 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 60-second phone-recorded clip, ask for trim the footage, 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 and yield cleaner AI edits.

Matching Input to Actions

User prompts referencing ai video editor capcut, 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.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

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

Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-video-editor-capcut, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

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

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

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the footage, 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 widest compatibility across TikTok, Instagram, and YouTube.

Common Workflows

Quick edit: Upload → "trim the footage, 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
This skill appears to do what it says — it uploads videos to a cloud API (mega-api-prod.nemovideo.ai) and returns edited MP4s. Before installing or using it, consider: 1) Do you trust nemovideo.ai with the videos you will upload? Sensitive content should not be sent. 2) The skill may store tokens or session data under ~/.config/nemovideo/ (SKILL.md metadata) even though the registry listed no config paths — ask the publisher or inspect where tokens are stored. 3) If you don’t provide a NEMO_TOKEN, the skill will obtain an anonymous token from the vendor (100 free credits, 7-day validity) — this means your files and job metadata will still go to the vendor. 4) There are no installer scripts, but the skill will transmit data over the network; review the vendor’s privacy/terms if available. 5) If you need stronger assurance, request the skill’s provenance (source code or official homepage) or a justification for the config path discrepancy before proceeding.
功能分析
Type: OpenClaw Skill Name: ai-video-editor-capcut Version: 1.0.0 The skill is a functional integration for a video editing service hosted at nemovideo.ai, providing an interface for an AI agent to perform cloud-based video processing. It includes detailed instructions for managing sessions, handling file uploads, and processing Server-Sent Events (SSE) for real-time editing. While it uses the 'CapCut' brand name for a third-party API and performs minor environment fingerprinting to identify the host platform (e.g., Cursor or Clawhub) for attribution headers, its behavior is consistent with its stated purpose and lacks any indicators of malicious intent or unauthorized data exfiltration.
能力评估
Purpose & Capability
The name/description (AI video editing, MP4 exports up to 500MB) aligns with the runtime instructions and API endpoints (upload, render, export). Requesting a single API token (NEMO_TOKEN) is proportionate. However, SKILL.md metadata lists a config path (~/.config/nemovideo/) while the registry summary indicated no required config paths — this mismatch is inconsistent and worth noting.
Instruction Scope
The SKILL.md instructs the agent to: use NEMO_TOKEN if present, otherwise obtain an anonymous token from https://mega-api-prod.nemovideo.ai, create sessions, upload user video files, drive SSE chat/edit workflow, poll render status, and return download URLs. Those actions are within scope for a cloud video editor, but they explicitly send user media and session state to a third-party API and require constructing attribution headers. The instructions do not ask to read unrelated system files or other credentials, but they do imply storing/reading session data and possibly using the local config path in metadata.
Install Mechanism
This is an instruction-only skill with no install spec or code files, so nothing will be downloaded or written by an installer step. That minimizes install-time risk.
Credentials
Only one environment variable is required (NEMO_TOKEN), which is appropriate for a remote API. The SKILL.md also documents an anonymous-token fallback flow that posts a UUID to the vendor’s auth endpoint. The presence of a declared config path (~/.config/nemovideo/) in the skill metadata suggests the skill may persist tokens or session data locally — the registry metadata contradicted this, so verify whether tokens will be stored on disk and where.
Persistence & Privilege
The skill does not request always: true and is user-invocable. It does not declare system-wide configuration changes or access to other skills' credentials. Autonomous invocation is allowed (the platform default) but not combined with unusual privileges here.
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 ai-video-editor-capcut
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-video-editor-capcut 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
AI Video Editor CapCut skill initial release. - Edit raw video clips into polished, short-form 1080p MP4s, optimized for TikTok and Reels. - Supports MP4, MOV, AVI, WebM (up to 500MB); fast, cloud GPU processing (1–2 minutes per clip). - Automatic backend connection with token handling and free starter credits for new users. - User-friendly workflow for upload, edit, preview, export, and credits management. - Guides users with prompts and tips for best results; clear feedback for common errors. - Backend session and status handling ensures smooth AI video editing and export experience.
元数据
Slug ai-video-editor-capcut
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

Ai Video Editor Capcut 是什么?

edit raw video clips into edited MP4 clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. TikTok creators use it for automatically editin... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 76 次。

如何安装 Ai Video Editor Capcut?

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

Ai Video Editor Capcut 是免费的吗?

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

Ai Video Editor Capcut 支持哪些平台?

Ai Video Editor Capcut 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 Ai Video Editor Capcut?

由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。

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