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Ai Generator Video Maker Free

作者 linmillsd7 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install ai-generator-video-maker-free
功能描述
Get ready-to-share videos ready to post, without touching a single slider. Upload your images or text (MP4, MOV, JPG, PNG, up to 200MB), say something like "...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "generate my images or text"
  • "export 1080p MP4"
  • "turn these product photos into a"

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 Generator Video Maker Free — Generate Videos from Images Free

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

Here's a typical use: you send a five product images and a text description, ask for turn these product photos into a 30-second promo video with background music, 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 5 or fewer images speeds up generation noticeably.

Matching Input to Actions

User prompts referencing ai generator video maker free, 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.

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

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

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

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 → "turn these product photos into a 30-second promo video with background music" → 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 "turn these product photos into a 30-second promo video with background music" — concrete instructions get better results.

Max file size is 200MB. Stick to MP4, MOV, JPG, PNG for the smoothest experience.

Export as MP4 for widest compatibility across social platforms.

安全使用建议
This skill appears to do what it says: use a NEMO_TOKEN (or get an anonymous token it can request) and call nemo-video APIs to upload files and generate/download videos. Before installing, consider: (1) the skill will send any media you upload to an external API (mega-api-prod.nemovideo.ai) — don't upload private/sensitive files unless you trust that service; (2) treat NEMO_TOKEN like any secret API key — only provide an account token you are comfortable sharing with this integration; (3) the SKILL.md mentions auto-detecting an install path and includes a config path in frontmatter — ask the publisher to confirm whether the skill will read local agent/install paths or the ~/.config/nemovideo/ directory; (4) the skill has no published homepage or known source — prefer skills from identifiable authors or with a documented privacy/support policy. If you need higher assurance, request the publisher/source code or test with an anonymous/free token and non-sensitive media first.
功能分析
Type: OpenClaw Skill Name: ai-generator-video-maker-free Version: 1.0.0 The skill provides a functional interface for the 'nemovideo.ai' AI video generation service. It manages authentication (including anonymous token acquisition), file uploads, and video rendering via a series of REST and SSE API calls to mega-api-prod.nemovideo.ai. The instructions in SKILL.md are transparently aligned with the stated purpose of generating videos from user-provided images or text, and no indicators of data exfiltration, malicious execution, or harmful prompt injection were identified.
能力评估
Purpose & Capability
Name/description (AI video generation) align with the runtime instructions: calls to a nemo-video backend, upload endpoints, render/export endpoints, credits/status endpoints, and an expected NEMO_TOKEN credential are all coherent with video-generation functionality.
Instruction Scope
SKILL.md instructs only on connecting to the nemo API, creating sessions, uploading files, streaming SSE for generation, polling exports, and handling error codes. It does not instruct reading arbitrary local files or unrelated env vars. Two small items to note: (1) the instructions say to auto-detect an install path to set X-Skill-Platform, which may imply reading agent/install context; (2) the frontmatter references a config path (~/.config/nemovideo/) not mentioned elsewhere, which could imply optional usage of local config though the main flow uses tokens and anonymous auth.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk by an installer. This is the lowest-risk install model.
Credentials
Only a single credential (NEMO_TOKEN) is required and is justified by the API Authorization header described in SKILL.md. The skill also describes obtaining an anonymous token if none is present (generating a UUID and POSTing to an API) — this behavior is reasonable for an unauthenticated fallback. The frontmatter's configPaths entry is a minor mismatch with registry metadata and should be clarified, but it is not a disproportionate credential request.
Persistence & Privilege
always is false and the skill is not requesting persistent/system-level privileges. It does not request to modify other skills or global agent settings.
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-generator-video-maker-free
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-generator-video-maker-free 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 Generator Video Maker Free — Initial Release - Instantly generate 1080p videos from images or text with simple prompts, no editing skills needed. - Effortless file uploading (MP4, MOV, JPG, PNG, up to 200MB); get a ready-to-share download link when done. - Automatic backend connection, session/token management, and cloud rendering pipeline. - Quick access to credits, status, video exports, and project state from chat commands. - Responsive error handling and smart prompt-to-action routing for a smooth user experience.
元数据
Slug ai-generator-video-maker-free
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 Generator Video Maker Free 是什么?

Get ready-to-share videos ready to post, without touching a single slider. Upload your images or text (MP4, MOV, JPG, PNG, up to 200MB), say something like "... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 107 次。

如何安装 Ai Generator Video Maker Free?

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

Ai Generator Video Maker Free 是免费的吗?

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

Ai Generator Video Maker Free 支持哪些平台?

Ai Generator Video Maker Free 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 Generator Video Maker Free?

由 linmillsd7(@linmillsd7)开发并维护,当前版本 v1.0.0。

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