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Ai Video Editor In Capcut

作者 mhogan2013-9 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install ai-video-editor-in-capcut
功能描述
Skip the learning curve of professional editing software. Describe what you want — trim the footage, add transitions, and sync background music automatically...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

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

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.

AI Video Editor in CapCut — Edit and Export AI 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 sync background music automatically, 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 in 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.

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: ai-video-editor-in-capcut
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

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.

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

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.

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)

Common Workflows

Quick edit: Upload → "trim the footage, add transitions, and sync background music automatically" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the footage, add transitions, and sync background music automatically" — 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 social platforms.

安全使用建议
This skill will upload your video files and session data to an external service at mega-api-prod.nemovideo.ai and requires an API token (NEMO_TOKEN) or it will generate an anonymous token for you. Before installing: 1) Verify the service/domain and the publisher (confirm 'nemovideo.ai' is the intended backend for the advertised 'CapCut' functionality). 2) Understand privacy: any video you send will be processed on that third-party cloud GPU — do not upload sensitive or private content unless you accept that. 3) Prefer the anonymous-token flow for testing (it issues short-lived tokens), and do not store high-value secrets in NEMO_TOKEN. 4) Clarify where the skill stores session_id and any cached data (local disk, agent config, etc.). 5) Note the SKILL.md references reading local install paths and YAML frontmatter for attribution — confirm that reads are limited to the skill's own files and not other system credentials. 6) Test first with non-sensitive sample videos and monitor network calls; if in doubt, contact the skill author or use an alternative known/trusted integration.
功能分析
Type: OpenClaw Skill Name: ai-video-editor-in-capcut Version: 1.0.0 The skill is a legitimate integration for an AI video editing service hosted at mega-api-prod.nemovideo.ai. It provides detailed instructions for the agent to manage API sessions, handle file uploads, and process video edits via SSE. While it includes logic to detect the host platform (e.g., Cursor or Clawhub) for telemetry headers, this behavior is transparently documented in SKILL.md and serves a functional purpose for service attribution without evidence of malicious intent or data exfiltration.
能力评估
Purpose & Capability
The skill's name and description promise 'AI Video Editor in CapCut', but the runtime instructions call a 'nemovideo.ai' API (mega-api-prod.nemovideo.ai). That could be the actual backend, but the apparent brand mismatch is worth verifying. Required capability (uploading video, creating sessions, exporting) aligns with the described purpose.
Instruction Scope
The SKILL.md instructs the agent to: generate an anonymous token or use NEMO_TOKEN, POST to the external API, upload user video files (multipart or by URL), and save session_id. That means user video media and session tokens are sent to a third-party cloud service. The file also directs the agent to read its own YAML frontmatter and detect install paths (~/.clawhub, ~/.cursor/skills/) to set attribution headers — this requires reading local paths/config. These actions are expected for a cloud editor but are privacy-sensitive (uploads to an external service) and include unspecified persistent storage of session identifiers.
Install Mechanism
Instruction-only skill with no install spec or code to download. Lowest install risk — nothing is written by an installer step. Network calls will occur at runtime per SKILL.md.
Credentials
The skill requires a single env var: NEMO_TOKEN (primary credential). That is proportionate for an API-backed service. However, the SKILL.md's frontmatter also lists a config path (~/.config/nemovideo/) whereas registry metadata above listed none — this inconsistency should be clarified. No unrelated credentials (AWS, GitHub, etc.) are requested.
Persistence & Privilege
always is false and the skill is user-invocable. The SKILL.md asks to save session_id and use tokens, which is normal for session management. It does not request permanent always-on presence or modify other skills' configs.
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-in-capcut
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-video-editor-in-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 in CapCut — Version 1.0.0 - Launches a chat-based AI video editor that processes uploads and editing instructions using CapCut cloud APIs. - Enables automated video edits: trim footage, add transitions, sync background music, and export in minutes. - Supports uploads up to 500MB (MP4, MOV, AVI, WebM) and exports 1080p MP4s optimized for social media. - No technical setup: Anonymous token generation and session handling are automated on first use. - Built-in error handling, credit checks, and status updates keep users informed throughout edits. - Ideal for creators seeking quick, AI-driven video edits without learning full editing software.
元数据
Slug ai-video-editor-in-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 In Capcut 是什么?

Skip the learning curve of professional editing software. Describe what you want — trim the footage, add transitions, and sync background music automatically... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 64 次。

如何安装 Ai Video Editor In Capcut?

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

Ai Video Editor In Capcut 是免费的吗?

是的,Ai Video Editor In 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 In Capcut 支持哪些平台?

Ai Video Editor In 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 In Capcut?

由 mhogan2013-9(@mhogan2013-9)开发并维护,当前版本 v1.0.0。

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