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Ai Video Editor List

作者 whitejohnk-26 · 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-list
功能描述
edit video clips into edited MP4 clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for comparing and using AI...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "edit my video clips"
  • "export 1080p MP4"
  • "trim silences, add transitions, and export"

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 List — Edit and Export Videos with AI

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

Say you have a 2-minute raw screen recording and want to trim silences, add transitions, and export a polished cut — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter clips under 3 minutes process significantly faster and use fewer credits.

Matching Input to Actions

User prompts referencing ai video editor list, 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-list
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

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

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

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.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the 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)

Common Workflows

Quick edit: Upload → "trim silences, add transitions, and export a polished cut" → 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 silences, add transitions, and export a polished cut" — 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 platforms and devices.

安全使用建议
This skill appears to be what it claims, but it will upload your video files to a third-party cloud service. Before installing or enabling it: (1) Only set NEMO_TOKEN in your environment if you trust nemo video — a stored token grants the skill access to your account/credits; (2) Do not upload sensitive or private footage unless you understand the service's retention and privacy policy; (3) If you prefer more control, omit NEMO_TOKEN and let the skill obtain an anonymous token for temporary use, or run the skill in a restricted/sandboxed agent environment; (4) Verify the API host (mega-api-prod.nemovideo.ai) and, if possible, test with non-sensitive sample videos first. If you need more assurance about data handling (encryption, retention, deletion), ask the skill author or service operator for their privacy/security docs before using with real content.
功能分析
Type: OpenClaw Skill Name: ai-video-editor-list Version: 1.0.0 The skill bundle provides a functional interface for an AI-powered video editing service hosted at nemovideo.ai. It includes detailed instructions for the agent to manage authentication (including an anonymous token flow), file uploads, and rendering tasks via REST and SSE APIs. While it includes telemetry-like behavior such as detecting its installation path (e.g., ~/.clawhub/) for attribution headers, all actions and requested permissions (NEMO_TOKEN, video file access) are strictly aligned with the stated purpose of cloud-based video processing.
能力评估
Purpose & Capability
Name/description (AI video editing) match the declared runtime actions: creating sessions, uploading videos, starting renders, checking credits. The single required credential (NEMO_TOKEN) and the listed config path (~/.config/nemovideo/) are consistent with a cloud video service.
Instruction Scope
The SKILL.md instructs the agent to upload user-provided media and metadata to https://mega-api-prod.nemovideo.ai, open SSE streams, poll render status, and include attribution headers. Those actions are expected for a cloud video editor but have privacy implications because user files are transmitted to an external service. The skill also instructs extracting attribution info from the skill frontmatter and detecting an install path — a minor filesystem/read action for header construction.
Install Mechanism
No install step or external downloads are present (instruction-only). That minimizes disk-write/execution risk.
Credentials
Only one env var (NEMO_TOKEN) is required and declared as primary. This aligns with the need to authenticate to the backend. The configPath referenced is service-specific. No unrelated credentials or broad system secrets are requested.
Persistence & Privilege
The skill is not forced-always and is user-invocable. It can be invoked autonomously by the agent (platform default). Because it can upload user media to an external service, allowlisting/autonomy decisions should consider privacy — autonomous invocation combined with data upload increases blast radius but is not itself unexpected for this skill type.
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-list
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-video-editor-list 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 List 1.0.0 — Initial Release - Upload, edit, and export video clips (MP4, MOV, AVI, WebM, up to 500MB) using AI-powered cloud rendering. - Automatic session and token handling, including free starter tokens and session management. - Supports trimming silences, adding transitions, text overlays, and audio tracks via natural prompts. - Real-time status updates, credit checks, and robust error handling for file size, format, and authorization issues. - Exports high-quality 1080p MP4 files within 1–2 minutes using cloud GPUs. - Intuitive workflow for quick edits, batch processing, and iterative timelines.
元数据
Slug ai-video-editor-list
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 List 是什么?

edit video clips into edited MP4 clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for comparing and using AI... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 70 次。

如何安装 Ai Video Editor List?

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

Ai Video Editor List 是免费的吗?

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

Ai Video Editor List 支持哪些平台?

Ai Video Editor List 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 List?

由 whitejohnk-26(@whitejohnk-26)开发并维护,当前版本 v1.0.0。

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