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Google Ai Video Maker

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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在 OpenClaw 中安装
/install google-ai-video-maker
功能描述
generate images or clips into AI-made videos with this google-ai-video-maker skill. Works with MP4, MOV, JPG, PNG files up to 500MB. marketers and content cr...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "generate my images or clips"
  • "export 1080p MP4"
  • "create a 30-second promo video with"

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.

Google AI Video Maker — Create Videos from Images or Clips

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

A quick example: upload five product photos and a logo file, type "create a 30-second promo video with music and text overlays", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: using fewer than 10 clips keeps processing time under a minute.

Matching Input to Actions

User prompts referencing google ai video maker, 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.

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

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

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

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.

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

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

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.

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)

Common Workflows

Quick edit: Upload → "create a 30-second promo video with music and text overlays" → 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 "create a 30-second promo video with music and text overlays" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, JPG, PNG for the smoothest experience.

Export as MP4 for widest compatibility across platforms.

安全使用建议
This skill appears to be a cloud-backed video rendering integration for nemovideo.ai, not an official Google product despite its name. Before installing: 1) Confirm you trust mega-api-prod.nemovideo.ai (privacy of uploaded media and metadata). 2) Expect the skill to send any files you provide to that third-party backend and to create/require a NEMO_TOKEN (it can auto-fetch an anonymous token). 3) Note the SKILL.md suggests reading an install path and a config directory (~/.config/nemovideo/) — ask the author whether the skill will write or read files there. 4) If you care about provenance, request a homepage/source and author info; if you proceed, prefer supplying your own NEMO_TOKEN and avoid uploading sensitive files until you confirm the service and privacy policy.
功能分析
Type: OpenClaw Skill Name: google-ai-video-maker Version: 1.0.0 The skill bundle provides legitimate instructions for an AI agent to interface with a cloud-based video generation service (nemovideo.ai). It details standard API workflows for authentication, session management, file uploads, and rendering. While it involves network communication with `mega-api-prod.nemovideo.ai` and requires a specific environment variable (`NEMO_TOKEN`), all behaviors are transparently documented and strictly aligned with the stated purpose of AI video creation.
能力评估
Purpose & Capability
The skill claims to be a "Google AI Video Maker" but all network activity is directed at mega-api-prod.nemovideo.ai (nemovideo), and there is no Google API, homepage, or publisher link — this is a branding/identity mismatch that can mislead users. The skill requests a NEMO_TOKEN which is coherent for the nemovideo backend, but the name implies a Google product when none is used. Also the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/) despite the registry metadata listing no required config paths — an internal inconsistency.
Instruction Scope
SKILL.md instructs the agent to read NEMO_TOKEN from the environment, or else obtain an anonymous token by POSTing to nemovideo's anonymous-auth endpoint (including generating a UUID client id). It then creates sessions, upload endpoints, SSE streams, and posts render requests — all consistent with a cloud render service. It also requires adding attribution headers and auto-detecting an install path to set X-Skill-Platform (this implies reading the agent's install path / filesystem). The instructions explicitly tell the agent not to expose tokens, which is good, but they do direct network calls to an external third-party domain and allow uploading local files/paths (expected for a media uploader).
Install Mechanism
Instruction-only skill with no install spec and no bundled code. No on-disk install or archive downloads are performed by the skill itself — lowest install risk.
Credentials
The only declared required credential is NEMO_TOKEN (primaryEnv). That aligns with the described backend. However, the frontmatter also lists a config path (~/.config/nemovideo/) which is not reflected in the top-level registry summary — this discrepancy could indicate the skill expects or will write config files beyond the declared env var. The skill does not request unrelated credentials (no AWS/GCP/etc).
Persistence & Privilege
The skill is not always-on and is user-invocable. It uses ephemeral session tokens for backend tasks and does not request blanket system privileges. The only mild persistence signal is the frontmatter reference to a config path which could imply storing data in ~/.config/nemovideo/ if implemented, but no explicit persistent install is defined.
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 google-ai-video-maker
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /google-ai-video-maker 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 Google AI Video Maker — create polished videos from your images or clips using AI. - Upload images (JPG, PNG) or clips (MP4, MOV) up to 500MB for AI-powered video creation. - Simple, guided setup: automatic cloud connection and session management. - Supports quick edits, batch processing, and iterative enhancements with 1080p MP4 exports. - One-click actions for uploading, generating, editing, and exporting videos. - Intuitive prompt-based controls for marketers and content creators; no software install required.
元数据
Slug google-ai-video-maker
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

Google Ai Video Maker 是什么?

generate images or clips into AI-made videos with this google-ai-video-maker skill. Works with MP4, MOV, JPG, PNG files up to 500MB. marketers and content cr... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 90 次。

如何安装 Google Ai Video Maker?

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

Google Ai Video Maker 是免费的吗?

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

Google Ai Video Maker 支持哪些平台?

Google Ai Video Maker 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 Google Ai Video Maker?

由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。

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