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Editor Baby Dance

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
32
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当前安装
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在 OpenClaw 中安装
/install editor-baby-dance
功能描述
Get edited dance videos ready to post, without touching a single slider. Upload your baby video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "edit my baby video clips"
  • "export 1080p MP4"
  • "sync the baby's dance clips to"

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.

Editor Baby Dance — Edit Baby Dance Videos Easily

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

Say you have a 60-second phone recording of a baby dancing and want to sync the baby's dance clips to a fun upbeat song with transitions — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter clips under 30 seconds sync to music faster and look cleaner.

Matching Input to Actions

User prompts referencing editor baby dance, 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: editor-baby-dance
  • 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.

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)

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

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.

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 → "sync the baby's dance clips to a fun upbeat song with transitions" → 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 "sync the baby's dance clips to a fun upbeat song with 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 across Instagram, TikTok, and YouTube.

安全使用建议
This skill looks coherent for cloud video editing, but it is not purely local. Before installing, make sure you are comfortable sending baby/family footage and edit prompts to NemoVideo's cloud service, use a dedicated token, and avoid uploading clips that require strong privacy guarantees unless you have reviewed the provider's retention and deletion policies.
功能分析
Type: OpenClaw Skill Name: editor-baby-dance Version: 1.0.0 The editor-baby-dance skill (SKILL.md) facilitates video editing via an external API (mega-api-prod.nemovideo.ai) but exhibits several high-risk behaviors. It automatically initiates network connections to obtain anonymous tokens using generated UUIDs, fingerprints the local environment by probing installation paths (e.g., ~/.clawhub/), and implements a remote-control pattern where the backend directs agent actions through Server-Sent Events (SSE). While these capabilities are plausibly linked to its cloud-rendering purpose, the automated external communication and backend-driven execution flow represent a significant attack surface.
能力评估
Purpose & Capability
The stated purpose is cloud-based baby dance video editing, and the instructions match that purpose; the noteworthy part is that user-provided baby videos are uploaded to an external rendering backend.
Instruction Scope
The skill instructs the agent to connect to the backend automatically on first use and to translate backend GUI-style responses into API actions, including export workflows. This is coherent for the service but worth user awareness.
Install Mechanism
There is no local code or install script to run, but the skill source is listed as unknown and there is no homepage, limiting provenance review.
Credentials
Use of NEMO_TOKEN and calls to mega-api-prod.nemovideo.ai are proportionate for a cloud video editing integration, but they involve a credential and external processing of personal media.
Persistence & Privilege
The skill stores a session_id for later requests, uses tokens valid for 7 days, and notes that cloud render jobs can be orphaned if the tab closes; there is no evidence of a local background process or self-persistence.
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 editor-baby-dance
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /editor-baby-dance 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
Version 1.0.0 — Initial Release - Instantly edits baby dance videos via a cloud AI pipeline; just upload clips and describe your edit. - Supports popular formats (MP4, MOV, AVI, WebM; up to 500MB) and exports polished 1080p MP4s in 1–2 minutes. - Automatic authentication with free credits and session management—no manual setup required. - Handles uploads, editing commands, preview, export, and credit checks with clear error handling. - Designed for parents and creators to quickly create share-ready baby dance compilations, no manual editing needed.
元数据
Slug editor-baby-dance
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

Editor Baby Dance 是什么?

Get edited dance videos ready to post, without touching a single slider. Upload your baby video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 32 次。

如何安装 Editor Baby Dance?

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

Editor Baby Dance 是免费的吗?

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

Editor Baby Dance 支持哪些平台?

Editor Baby Dance 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 Editor Baby Dance?

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

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