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Ai Video Maker Free Google

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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版本数
在 OpenClaw 中安装
/install ai-video-maker-free-google
功能描述
Turn five product photos and a logo file into 1080p ready-to-share videos just by typing what you need. Whether it's creating videos from images or clips wit...
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:

  • "create my images or clips"
  • "export 1080p MP4"
  • "turn these images into a 30-second"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

AI Video Maker Free Google — Create and Export Videos Free

Drop your images or clips in the chat and tell me what you need. I'll handle the AI video creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a five product photos and a logo file, ask for turn these images into a 30-second promo video with music and text, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — using fewer than ten images keeps generation time under a minute.

Matching Input to Actions

User prompts referencing ai video maker free google, 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 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.

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

Header Value
X-Skill-Source ai-video-maker-free-google
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 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

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.

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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn these images into a 30-second promo video with music and text" — 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 Google Drive, YouTube, and social platforms.

Common Workflows

Quick edit: Upload → "turn these images into a 30-second promo video with music and text" → 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 appears to implement a cloud video-rendering integration and only needs one API token (NEMO_TOKEN), which is reasonable. But: (1) the package name uses 'Google' while the backend is nemovideo.ai and there is no source/homepage — that may be misleading; (2) SKILL.md frontmatter lists a local config path (~/.config/nemovideo/) while the registry metadata did not — ask the developer which is correct and whether the skill will read local files; (3) the instructions tell the agent to hide technical details from users, which could obscure what the skill is doing. Before installing, verify the vendor/source, avoid supplying high-privilege credentials (do not reuse sensitive tokens), and consider testing with a throwaway token or the anonymous flow. If you must use it, monitor network requests or run it in an environment where you can inspect outgoing traffic and filesystem reads. If the developer can confirm the config-path behavior and explain the Google naming, that would reduce the risk.
功能分析
Type: OpenClaw Skill Name: ai-video-maker-free-google Version: 1.0.0 The skill is a legitimate integration for an AI video generation service hosted at nemovideo.ai. It defines standard procedures for authentication (using NEMO_TOKEN or an anonymous token), session management, and media processing via REST and SSE endpoints. The instructions in SKILL.md are consistent with the stated purpose of creating and exporting videos, and there is no evidence of data exfiltration, malicious execution, or unauthorized access to sensitive local information.
能力评估
Purpose & Capability
The skill's stated purpose (turn images/clips into 1080p videos) aligns with the runtime instructions which call a video-rendering API. However the skill name includes the trademark 'Google' while all network endpoints point to mega-api-prod.nemovideo.ai (no Google reference) and there's no homepage or source URL — this is misleading and should be clarified.
Instruction Scope
SKILL.md contains precise runtime instructions for session creation, file uploads, SSE, polling, and rendering using a remote API. It also instructs the agent to 'Keep the technical details out of the chat', which could be used to hide operational details from users. The frontmatter requests a config path (~/.config/nemovideo/) and an auto-detect of install path for X-Skill-Platform, but the registry metadata listed no config paths — this inconsistency is concerning because it could lead the agent to read local filesystem paths not mentioned in the top-level metadata.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only, which is lower-risk from an installation perspective because it does not drop new binaries or archives on disk.
Credentials
The skill only requires a single credential (NEMO_TOKEN), which is proportionate to a service that needs an API token. However, SKILL.md promises an anonymous-token flow if no NEMO_TOKEN is present and also lists a config path in frontmatter; the registry metadata did not. The discrepancy between top-level metadata and the frontmatter about config paths is unexplained and worth verifying before granting environment access.
Persistence & Privilege
The skill does not request 'always: true' and doesn't ask to modify other skills or system settings. Autonomous invocation is allowed (the platform default) but there is no extra persistent privilege requested.
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-maker-free-google
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-video-maker-free-google 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 Maker Free Google version 1.0.0 — initial release. - Instantly turn 5+ images and a logo into 1080p share-ready videos with simple text instructions. - No video editing tools required — upload, describe, and export in 1-2 minutes. - Supports uploads, automatic credits handling, and export to MP4 and other formats. - Free API access with anonymous tokens (100 credits/7 days) and cloud GPU video rendering. - Seamless session management and error handling; provides status updates and workflow guidance throughout.
元数据
Slug ai-video-maker-free-google
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 Maker Free Google 是什么?

Turn five product photos and a logo file into 1080p ready-to-share videos just by typing what you need. Whether it's creating videos from images or clips wit... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 70 次。

如何安装 Ai Video Maker Free Google?

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

Ai Video Maker Free Google 是免费的吗?

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

Ai Video Maker Free Google 支持哪些平台?

Ai Video Maker Free Google 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 Maker Free Google?

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

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