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mhogan2013-9

Ai Video Editor Baby

作者 mhogan2013-9 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install ai-video-editor-baby
功能描述
edit baby video clips into edited baby videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. new parents and family vloggers use it for t...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "edit my baby video clips"
  • "export 1080p MP4"
  • "trim the best moments, add soft"

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.

AI Video Editor Baby — Edit Baby Videos Into Keepsakes

This tool takes your baby 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 phone recording of a baby's first steps and want to trim the best moments, add soft background music, and include milestone title cards — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter clips under 60 seconds process fastest and work great for Instagram Reels.

Matching Input to Actions

User prompts referencing ai video editor baby, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-video-editor-baby, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise 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)

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 Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the best moments, add soft background music, and include milestone title cards" — 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 phones, TVs, and social platforms.

Common Workflows

Quick edit: Upload → "trim the best moments, add soft background music, and include milestone title cards" → 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.

安全使用建议
This skill will upload your videos (personal data) to mega-api-prod.nemovideo.ai and will either use a provided NEMO_TOKEN or automatically request an anonymous token for you. Before installing: 1) Confirm you trust the nemovideo domain and their privacy/retention policy for baby videos. 2) If you prefer control, supply your own NEMO_TOKEN rather than relying on the anonymous-token flow. 3) Note the SKILL.md mentions a local config path (~/.config/nemovideo/) and also instructs detecting install paths for header values — if you are concerned about filesystem inspection, avoid enabling the skill or restrict the agent's filesystem permissions. 4) If anything about the domain, anonymous token behavior, or the undeclared config path is unclear, ask the publisher for clarification; the mismatch in declared config paths is the main inconsistency found.
能力评估
Purpose & Capability
Name/description (AI video editor for baby clips) aligns with the actions in SKILL.md (uploading video files, editing via cloud render API). However the SKILL.md metadata declares a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths—this mismatch should be clarified.
Instruction Scope
Instructions stay within the stated purpose (upload, edit, export via the nemovideo backend). They instruct the agent to upload potentially sensitive personal videos to https://mega-api-prod.nemovideo.ai and to auto-acquire an anonymous token if NEMO_TOKEN is missing. No unrelated files or unrelated environment variables are referenced, but the agent is expected to read/detect install paths for platform headers (see headers/Install path detection), which implies filesystem inspection that is not fully declared.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing is written to disk by an installer. This is the lowest install risk.
Credentials
Only one required credential is declared (NEMO_TOKEN), which is appropriate for a cloud API. The SKILL.md also instructs the agent to POST to an anonymous-token endpoint to obtain a token if none is present — this is functional but notable because it causes outbound network calls and automatic credential creation without an explicit user-provided secret. The metadata's configPaths entry (~/.config/nemovideo/) may imply additional local config access not reflected in the registry metadata.
Persistence & Privilege
always is false and the skill does not request persistent elevated privileges or modify other skills. The skill requires network access to the backend and may inspect install/config paths for header attribution, but it does not request 'always: true' or other high privileges.
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-baby
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-video-editor-baby 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 Baby 1.0.0 — Initial release! - Launches AI-powered cloud video editing for baby moments and family vloggers - Supports MP4, MOV, AVI, WebM video files up to 500MB with 1080p MP4 exports - Simple “upload → describe → download” workflow, ready in 1–2 minutes - Auto-handles cloud setup and session, just start by sharing baby clips - Includes instructions for token flow, error handling, and key workflows - Covers common actions: credits, export, state, upload, BGM, title cards, and more
元数据
Slug ai-video-editor-baby
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 Baby 是什么?

edit baby video clips into edited baby videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. new parents and family vloggers use it for t... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 59 次。

如何安装 Ai Video Editor Baby?

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

Ai Video Editor Baby 是免费的吗?

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

Ai Video Editor Baby 支持哪些平台?

Ai Video Editor Baby 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 Baby?

由 mhogan2013-9(@mhogan2013-9)开发并维护,当前版本 v1.0.0。

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