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Free Ai Video Editor Online

作者 tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install free-ai-video-editor-online
功能描述
Turn raw footage into polished, share-ready videos without downloading software or paying a subscription. This free-ai-video-editor-online skill helps creato...
使用说明 (SKILL.md)

Getting Started

Welcome to your free AI video editor online — where rough clips become compelling content through smart, guided editing. Tell me about your footage and what you're trying to create, and let's start building your video right now!

Try saying:

  • "Cut this down to 60 seconds"
  • "Write captions for my video"
  • "Convert landscape video to vertical"

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.

Edit Videos Smarter — No Software, No Cost

Most people don't need a Hollywood editing suite — they need something that works right now, in a browser, without a learning curve. This skill brings the power of AI-assisted video editing into a simple conversation. Describe what you want your video to look like, and get back a clear editing plan, script for captions, cut list, or export-ready instructions tailored to your platform.

Whether you're a content creator trimming a 10-minute vlog into a punchy 60-second reel, a small business owner adding text overlays to a product demo, or a student assembling a presentation video, this tool adapts to your goal. You don't need to know timecodes or layer-based editing — just explain what you're working with and what you want to achieve.

The skill is especially useful for generating caption text, writing scene-by-scene cut instructions, suggesting background music moods, and structuring video scripts for voiceover. It's your free AI video editing co-pilot, available instantly online with zero setup required.

Routing Edits to AI Engine

Each edit request — whether trimming clips, applying filters, generating captions, or upscaling resolution — is parsed by the intent router and dispatched to the matching AI processing pipeline in real time.

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 Processing API Reference

The free AI video editor online backend runs on a distributed cloud rendering cluster that handles transcoding, frame interpolation, and generative enhancement through RESTful API calls — no local GPU required. Requests are queued, processed asynchronously, and returned as streamable output URLs once rendering completes.

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

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

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.

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.

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)

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

Integration Guide — Using Free AI Video Editor Online With Your Workflow

This skill fits naturally into browser-based video editing tools like CapCut Web, Clipchamp, or Adobe Express. Use the AI to generate your editing script and caption text first, then paste the output directly into your chosen editor's caption or text overlay panel — saving the manual transcription step entirely.

For creators working with tools like DaVinci Resolve or Final Cut Pro, use this skill to generate a cut list with approximate timecodes and scene descriptions. Export that list as your editing roadmap before you open your timeline, which dramatically reduces decision fatigue during the actual edit.

Content teams can integrate this skill into their publishing pipeline by using it to batch-generate caption variations for A/B testing across platforms. Generate three different caption styles for the same video clip and test engagement across TikTok, Instagram, and YouTube Shorts simultaneously.

For social media schedulers like Buffer or Later, use the skill to produce platform-optimized video descriptions, hashtag sets, and thumbnail text suggestions alongside your editing plan — turning one session into a complete content package ready for publishing.

Troubleshooting Common Free AI Video Editor Online Issues

If the editing plan you receive doesn't match your footage length or format, the most common fix is to provide more specific details upfront — include your video's total duration, the platform you're editing for (YouTube, TikTok, Instagram Reels), and the aspect ratio of your original file.

For caption generation, if the text feels off-tone or too formal, specify your audience and content style (e.g., 'casual Gen Z humor' or 'professional B2B explainer'). The AI adjusts its language register based on context you provide.

If you're getting cut suggestions that seem too aggressive or too conservative, describe the emotional pacing you want — 'fast and energetic' versus 'slow and documentary-style' makes a significant difference in how the editing structure is recommended.

For export format questions, always mention the destination platform first. Each platform has different resolution, bitrate, and duration requirements, and specifying this upfront ensures the guidance you receive is immediately actionable rather than generic.

安全使用建议
Proceed cautiously. The skill's behavior (talking to https://mega-api-prod.nemovideo.ai and using NEMO_TOKEN) is consistent with a hosted video-editing service, but: (1) the SKILL.md will silently obtain an anonymous token if NEMO_TOKEN is missing — expect immediate outbound network calls and ephemeral credentials; (2) it may read local install/config paths (~/.clawhub, ~/.cursor, ~/.config/nemovideo/) to set headers — decide whether you want the skill to inspect those locations; (3) the registry lists no homepage or source code, and the frontmatter vs registry metadata disagree about configPaths — ask the publisher for source, a homepage, or code to review before trusting it with private files or long-lived credentials. If you install, only provide a token you are willing to revoke; confirm the agent prompts you before uploading any local files.
功能分析
Type: OpenClaw Skill Name: free-ai-video-editor-online Version: 1.0.0 The skill is a functional integration for an AI video editing service hosted at nemovideo.ai. It provides detailed instructions for the agent to manage authentication (via anonymous tokens), handle asynchronous video processing through Server-Sent Events (SSE), and perform file uploads and exports. While it includes capabilities for local file access (for uploading footage) and environment probing (detecting its installation path for telemetry headers), these actions are directly aligned with the stated purpose of a cloud-based video editor and do not exhibit signs of malicious intent or unauthorized data exfiltration.
能力评估
Purpose & Capability
The declared primary credential (NEMO_TOKEN) and the REST endpoints in SKILL.md align with a cloud video editing backend — requiring an API token is expected. However the SKILL.md frontmatter requests a config path (~/.config/nemovideo/) and runtime detection of install paths for header attribution while the registry metadata listed no config paths; this mismatch is unexplained and worth clarifying.
Instruction Scope
Instructions direct network calls to an external API (token acquisition, session creation, uploads, exports) and tell the agent to 'keep technical details out of the chat' — i.e., perform auth and backend interactions quietly. The skill also instructs detecting install paths (e.g., ~/.clawhub, ~/.cursor) and reading its own frontmatter. Quietly generating/using an anonymous token and reading install/config paths increases the chance of hidden activity and access to local file paths; users should be informed and consent explicitly.
Install Mechanism
Instruction-only skill with no install spec or code files — lowest install risk. There is no downloaded code or external installer recorded.
Credentials
Only NEMO_TOKEN is required as a primary credential which is proportionate for a cloud editor. Still, the frontmatter's configPaths (~/.config/nemovideo/) implies reading local configuration and the SKILL.md also suggests inspecting install directories; those accesses are not justified clearly in the top-level registry metadata and may expose more local state than strictly needed.
Persistence & Privilege
The skill is not marked always:true and is user-invocable with autonomous invocation allowed (platform default). It does request some local path checks for attribution but does not request system-wide persistence or modifications to other skills.
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 free-ai-video-editor-online
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-ai-video-editor-online 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 Free AI Video Editor Online. - Instantly edit, enhance, and export videos using simple text commands—no software or subscription required. - Trim clips, add captions, apply transitions, generate scene suggestions, and more, all through chat. - Handles uploads, exports, and AI-driven edits via a secure cloud backend with free credits for new users. - Clear status updates, error handling, and supported for use on all modern browsers. - Ideal for creators, marketers, and students seeking quick, professional video results online.
元数据
Slug free-ai-video-editor-online
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

Free Ai Video Editor Online 是什么?

Turn raw footage into polished, share-ready videos without downloading software or paying a subscription. This free-ai-video-editor-online skill helps creato... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 79 次。

如何安装 Free Ai Video Editor Online?

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

Free Ai Video Editor Online 是免费的吗?

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

Free Ai Video Editor Online 支持哪些平台?

Free Ai Video Editor Online 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 Free Ai Video Editor Online?

由 tk8544-b(@tk8544-b)开发并维护,当前版本 v1.0.0。

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