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Ai Video Editor Combine Clips

作者 mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install ai-video-editor-combine-clips
功能描述
Skip the learning curve of professional editing software. Describe what you want — combine all clips into one video with smooth transitions — and get merged...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "combine four separate 30-second clips from a weekend trip into a 1080p MP4"
  • "combine all clips into one video with smooth transitions"
  • "combining multiple video clips into one seamless video for content creators"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer \x3Ctoken>, Content-Type: application/json, and body {"task_name":"project","language":"\x3Cdetected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

AI Video Editor Combine Clips — Merge Clips Into One Video

This tool takes your video clips and runs AI clip merging through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have four separate 30-second clips from a weekend trip and want to combine all clips into one video with smooth transitions — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: trim silence from each clip before uploading to get a tighter final cut.

Matching Input to Actions

User prompts referencing ai video editor combine clips, 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.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/\x3Csid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/\x3Csid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

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

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

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

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

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

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 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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "combine all clips into one video with smooth transitions" — 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.

Common Workflows

Quick edit: Upload → "combine all clips into one video with smooth transitions" → Download MP4. Takes 30-60 seconds 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
Before installing, make sure you are comfortable with NemoVideo receiving your uploaded clips and prompts, and protect the NEMO_TOKEN credential. The provided artifacts do not show local code execution or destructive behavior, but provenance is limited because no source repository or homepage is listed.
功能分析
Type: OpenClaw Skill Name: ai-video-editor-combine-clips Version: 1.0.0 The skill is a legitimate integration for a video editing service hosted at mega-api-prod.nemovideo.ai. It implements a standard workflow for automated authentication, session management, and video processing as described in SKILL.md. The instructions correctly guide the agent to handle file uploads, credit checks, and rendering tasks without any evidence of data exfiltration or malicious intent. The use of environment variables (NEMO_TOKEN) and configuration paths is consistent with the tool's stated purpose.
能力评估
Purpose & Capability
The stated video-combining purpose matches the documented cloud upload/render workflow, but users should understand that their media is processed by an external backend.
Instruction Scope
The skill tells the agent to automatically connect to the backend and create a session on first use; this is disclosed and purpose-aligned, but it is still automatic network activity.
Install Mechanism
There is no install spec or code to execute, but the registry lists Source as unknown and Homepage as none, so provider provenance is limited.
Credentials
The NEMO_TOKEN credential is proportionate to the cloud rendering service and is documented as the primary credential.
Persistence & Privilege
The skill stores a session_id for subsequent API calls and uses tokens valid for 7 days, but no background worker, self-propagation, or local persistence mechanism is shown.
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-combine-clips
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-video-editor-combine-clips 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 AI Video Editor Combine Clips. - Merge multiple video clips into a single seamless video with AI-powered transitions. - Supports MP4, MOV, AVI, and WebM files up to 500MB. - Simple authentication with free 7-day token and 100 credits. - Fast cloud rendering (30–90 seconds per job), with easy file upload and download. - Automatic session management and clear error reporting for common issues.
元数据
Slug ai-video-editor-combine-clips
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 Combine Clips 是什么?

Skip the learning curve of professional editing software. Describe what you want — combine all clips into one video with smooth transitions — and get merged... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 33 次。

如何安装 Ai Video Editor Combine Clips?

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

Ai Video Editor Combine Clips 是免费的吗?

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

Ai Video Editor Combine Clips 支持哪些平台?

Ai Video Editor Combine Clips 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 Combine Clips?

由 mory128(@mory128)开发并维护,当前版本 v1.0.0。

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