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whitejohnk-26

Ai Image To Video Clip

作者 whitejohnk-26 · 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-image-to-video-clip
功能描述
Get animated video clips ready to post, without touching a single slider. Upload your images (JPG, PNG, WEBP, HEIC, up to 200MB), say something like "turn th...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "convert my images"
  • "export 1080p MP4"
  • "turn these images into a 15-second"

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 Image to Video Clip — Turn Images into Video Clips

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

Say you have three product photos in JPG format and want to turn these images into a 15-second video clip with smooth transitions — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: using fewer images with longer durations per image produces smoother results.

Matching Input to Actions

User prompts referencing ai image to video clip, 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.

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

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

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.

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.

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

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

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)

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 → "turn these images into a 15-second video clip with smooth transitions" → Download MP4. Takes 30-60 seconds 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 images into a 15-second video clip with smooth transitions" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across social platforms.

安全使用建议
This skill will upload your images and interact with https://mega-api-prod.nemovideo.ai to create video clips. Before installing: (1) Confirm you trust that external service and are comfortable uploading the types of images you plan to use (do not upload sensitive/private images unless you accept third-party processing). (2) Prefer supplying your own NEMO_TOKEN from a trusted account rather than relying on the skill's anonymous-token flow. (3) Note the metadata lists a local config path but the instructions don't use it — ask the author to clarify. (4) Review the service's privacy/retention policy and confirm the download URLs are time-limited. If you need higher assurance, request the skill source or implementation code so you can inspect exactly how files and tokens are handled.
功能分析
Type: OpenClaw Skill Name: ai-image-to-video-clip Version: 1.0.0 The skill provides a legitimate integration for an AI image-to-video conversion service hosted at nemovideo.ai. It includes standard procedures for session management, file uploads, and polling for render status. The instructions in SKILL.md are consistent with the stated purpose and include safety guidelines such as not exposing API tokens to the user.
能力评估
Purpose & Capability
The name and description map to cloud video-rendering actions and the SKILL.md details network calls to a nemo video backend, so required network access and a NEMO_TOKEN are expected. Minor inconsistency: the metadata declares a config path (~/.config/nemovideo/) that the instructions do not actually read or justify.
Instruction Scope
Instructions are explicit about creating sessions, uploading files (multipart or by URL), streaming SSE, and polling render status — all consistent with a cloud render skill. Two points to note: (1) if NEMO_TOKEN is missing the skill instructs the agent to obtain an anonymous token via POST, which means it will autonomously contact the external API to mint credentials; (2) the agent is asked to infer an X-Skill-Platform value from install path, which implies reading runtime/installation metadata.
Install Mechanism
Instruction-only skill with no install spec or code files, so nothing is written to disk by an installer. Low install risk.
Credentials
Only one credential (NEMO_TOKEN) is requested, which is proportional to a cloud rendering service. However, the SKILL.md provides a fallback flow to request an anonymous token if NEMO_TOKEN is absent — this contradicts the 'required env var' listing and means the skill can operate without a pre-provided secret. The declared configPath is not used in the runtime instructions.
Persistence & Privilege
always:false and no installation hooks; the skill does not request permanent system presence. The skill may be invoked autonomously by the agent (platform default), but that is normal and not in itself concerning.
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-image-to-video-clip
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-image-to-video-clip 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 AI Image to Video Clip: - Instantly turn uploaded images (JPG, PNG, WEBP, HEIC, up to 200MB) into 1080p MP4 video clips using a cloud AI pipeline. - Seamless user flow: upload images, give a short instruction (e.g., "turn these images into a 15-second video clip with smooth transitions"), and download the result. - Automatic session and authentication setup, with 100 free credits on first use; no manual token entry required. - Supports fast export, status tracking, credit checking, and real-time progress updates. - Designed for social media creators — no complex editing, just fast, AI-powered results.
元数据
Slug ai-image-to-video-clip
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 Image To Video Clip 是什么?

Get animated video clips ready to post, without touching a single slider. Upload your images (JPG, PNG, WEBP, HEIC, up to 200MB), say something like "turn th... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 61 次。

如何安装 Ai Image To Video Clip?

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

Ai Image To Video Clip 是免费的吗?

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

Ai Image To Video Clip 支持哪些平台?

Ai Image To Video Clip 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 Image To Video Clip?

由 whitejohnk-26(@whitejohnk-26)开发并维护,当前版本 v1.0.0。

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