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tk8544-b

Of Video

作者 tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install of-video
功能描述
Turn a 2-minute MP4 clip from a phone into 1080p edited video clips just by typing what you need. Whether it's trimming and refining raw video footage or qui...
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 beginning and end of"

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.

Of Video — Edit and Export Video Clips

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 MP4 clip from a phone and want to trim the beginning and end of video and add background music — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: shorter clips process faster and use fewer credits.

Matching Input to Actions

User prompts referencing of video, 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source of-video
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

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

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)

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 beginning and end of video and add background music" → 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 beginning and end of video and add background music" — 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.

安全使用建议
This skill is reasonable for cloud video editing if you are comfortable sending clips to nemovideo.ai. Avoid uploading sensitive personal, client, or confidential footage unless you trust the provider, and consider requiring confirmation before exports or actions that may use credits.
功能分析
Type: OpenClaw Skill Name: of-video Version: 1.0.0 The 'of-video' skill is a legitimate integration for an AI video editing service hosted at nemovideo.ai. It provides detailed instructions for the agent to manage sessions, handle file uploads, and process video editing tasks via a cloud API. The skill's behavior, including token management and platform attribution, is transparently documented and aligns with its stated purpose without any indicators of malicious intent or data exfiltration.
能力评估
Purpose & Capability
The upload, edit, render, and export capabilities match the stated video-editing purpose; users should notice that clips are processed by a cloud backend rather than locally.
Instruction Scope
The skill directs the agent to set up sessions and translate backend GUI-style responses into API actions. This is purpose-aligned, but users may want explicit confirmation before exports or credit-consuming operations.
Install Mechanism
There is no install spec and no local code to execute, which reduces local execution risk. However, the registry source and homepage are not provided, so provider/listing provenance is limited.
Credentials
NEMO_TOKEN and anonymous token creation are proportional for a cloud video API. The artifacts do not show unrelated credential use, token logging, or hidden transmission beyond the disclosed service.
Persistence & Privilege
The skill keeps a session_id and uses short-lived tokens for ongoing operations; no background process, local file write, or autonomous persistence is evidenced in the provided artifacts.
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 of-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /of-video 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 "Of Video — Edit and Export Video Clips". - Upload phone videos and request edits or exports via simple text instructions. - Automatic cloud connection and authentication (100 free credits, 7-day expiry per token). - Supports trimming, background music, aspect ratio, text overlays, and more, with output up to 1080p. - Handles common errors (invalid token, file too large, insufficient credits) with user-friendly messages. - Fast cloud rendering pipeline: average export time 30-90 seconds per clip.
元数据
Slug of-video
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

Of Video 是什么?

Turn a 2-minute MP4 clip from a phone into 1080p edited video clips just by typing what you need. Whether it's trimming and refining raw video footage or qui... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 60 次。

如何安装 Of Video?

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

Of Video 是免费的吗?

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

Of Video 支持哪些平台?

Of Video 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 Of Video?

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

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