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Free Editor

作者 dsewell-583h0 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install free-editor
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 and students use it for editing ra...
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 the pauses, add transitions, and"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Free Editor — Edit and Export Polished Videos

Send me your video clips and describe the result you want. The AI video editing runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 2-minute raw screen recording, type "trim the pauses, add transitions, and export a clean final cut", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: shorter clips under 3 minutes process significantly faster.

Matching Input to Actions

User prompts referencing free editor, 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.

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

  • X-Skill-Source: free-editor
  • 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.

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

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

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.

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

Common Workflows

Quick edit: Upload → "trim the pauses, add transitions, and export a clean final cut" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the pauses, add transitions, and export a clean final 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 uploads your video files to a third‑party cloud service (mega-api-prod.nemovideo.ai) for processing and uses a single service token (NEMO_TOKEN). If you don't set NEMO_TOKEN the skill requests an anonymous token from the provider. Expect the skill to read/write under ~/.config/nemovideo/ to persist tokens/sessions and to inspect install paths for attribution headers. If you have sensitive content, don't upload it to this service; if you want tighter control, set NEMO_TOKEN from an account you control and review any files created under ~/.config/nemovideo/. The skill appears internally coherent for a cloud video editor.
能力评估
Purpose & Capability
The skill declares NEMO_TOKEN and a nemovideo config path which fit a cloud video-renderer. Minor inconsistency: requires.env lists NEMO_TOKEN as a required credential, but the SKILL.md also documents an anonymous-token flow (it will obtain a temporary token if none is present). This is plausible for convenience but slightly redundant.
Instruction Scope
Instructions stay within video-editing scope (uploading files, creating sessions, SSE chat, exporting). They also ask the agent to read the skill's YAML frontmatter and detect install path (~/.clawhub, ~/.cursor/skills/) for attribution headers, and to use ~/.config/nemovideo/ (declared). Those filesystem checks are explainable (attribution and token persistence) but are worth noting because they touch a user config path and the agent may read/write token state.
Install Mechanism
No install spec or downloaded code — instruction-only skill, so nothing is written to disk by an installer. Lowest-risk install profile.
Credentials
Only one credential (NEMO_TOKEN) is required and is the service token used for all API calls. The skill will auto-provision an anonymous token if the env var is missing. The declared config path (~/.config/nemovideo/) is consistent with storing this token; this is proportional but users should be aware tokens may be persisted there.
Persistence & Privilege
always:false and normal autonomous invocation. The skill may persist session/token state in its own config path but does not request system-wide privileges or modify 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-editor
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-editor 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 Editor — edit video clips into polished 1080p MP4 files using a cloud GPU backend. - Supports MP4, MOV, AVI, WebM video files up to 500MB; processes videos in 30–90 seconds. - Automatic token and session management with 100 free credits and 7-day token expiry. - Handles uploads, exports, credit checks, and editing via intent classification and API integration. - Clear error handling and user feedback for setup, progress, and export actions.
元数据
Slug free-editor
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 Editor 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 and students use it for editing ra... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 65 次。

如何安装 Free Editor?

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

Free Editor 是免费的吗?

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

Free Editor 支持哪些平台?

Free Editor 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 Editor?

由 dsewell-583h0(@dsewell-583h0)开发并维护,当前版本 v1.0.0。

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