功能描述

Get animated video clips ready to post, without touching a single slider. Upload your still images (JPG, PNG, WEBP, HEIC, up to 20MB), say something like "an...

使用说明 (SKILL.md)

Getting Started

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

Try saying:

"convert my still images"
"export 1080p MP4"
"animate this image into a 5-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 Kling — Animate Images into Video Clips

Name: Ai Image To Video Kling
Author: mory128

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

Say you have a single product photo or portrait image and want to animate this image into a 5-second video clip using Kling AI — the backend processes it in about 30-90 seconds and hands you a 1080p MP4.

Tip: high-contrast images with clear subjects produce smoother motion results.

Matching Input to Actions

User prompts referencing ai image to video kling, 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.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint	Method	Purpose
`/api/tasks/me/with-session/nemo_agent`	POST	Start a new editing session. Body: `{"task_name":"project","language":"\x3Clang>"}`. Returns `session_id`.
`/run_sse`	POST	Send a user message. Body includes `app_name`, `session_id`, `new_message`. Stream response with `Accept: text/event-stream`. Timeout: 15 min.
`/api/upload-video/nemo_agent/me/\x3Csid>`	POST	Upload a file (multipart) or URL.
`/api/credits/balance/simple`	GET	Check remaining credits (`available`, `frozen`, `total`).
`/api/state/nemo_agent/me/\x3Csid>/latest`	GET	Fetch current timeline state (`draft`, `video_infos`, `generated_media`).
`/api/render/proxy/lambda`	POST	Start export. Body: `{"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}`. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Skill attribution — read from this file's YAML frontmatter at runtime:

X-Skill-Source: ai-image-to-video-kling
X-Skill-Version: from frontmatter version
X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else unknown)

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

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

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.

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

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)

Common Workflows

Quick edit: Upload → "animate this image into a 5-second video clip using Kling AI" → Download MP4. Takes 30-90 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 "animate this image into a 5-second video clip using Kling AI" — concrete instructions get better results.

Max file size is 20MB. Stick to JPG, PNG, WEBP, HEIC for the smoothest experience.

PNG images with clean backgrounds give Kling AI more accurate motion generation.

安全使用建议

This skill authenticates to an external service (mega-api-prod.nemovideo.ai) and uploads your images/audio to generate videos. It requests NEMO_TOKEN but can obtain a 7‑day anonymous token automatically; tokens and job session IDs will be used as Bearer auth and sent on every request. Consider: only use with content you consent to upload; prefer the anonymous token or a dedicated service account rather than a personal long-lived credential; verify the service's privacy/terms (no homepage provided here); be aware the skill may read its own SKILL.md and detect install paths to set attribution headers. If you need stronger assurances, ask the publisher for a homepage/terms or test with non-sensitive images and a throwaway token first.

功能分析

Type: OpenClaw Skill Name: ai-image-to-video-kling Version: 1.0.0 The skill provides instructions for an AI agent to interface with the Kling AI video generation service via the nemovideo.ai API. It includes logic for automated anonymous token retrieval, session management, and file uploads. While it performs environment fingerprinting to determine the installation platform for attribution headers, its behavior is consistent with its stated purpose and lacks indicators of malicious intent or data exfiltration.

能力评估

✓ Purpose & Capability

Name/description (animate images to short videos) map to the declared primary credential (NEMO_TOKEN) and the API endpoints in SKILL.md. Required binaries are none and the endpoints correspond to a cloud rendering service, so the requested capability is proportionate to the purpose.

ℹ Instruction Scope

Instructions are focused on session creation, SSE streaming, uploads, and exports to the nemovideo.ai backend. They also instruct the agent to read this file's YAML frontmatter for attribution and to detect install path (e.g., ~/.clawhub/ or ~/.cursor/skills/) to set an X-Skill-Platform header — these filesystem checks are minor but outside strictly necessary image-processing logic.

✓ Install Mechanism

No install spec or code files are present (instruction-only). Nothing is downloaded or written to disk by the skill itself per SKILL.md.

ℹ Credentials

The only required environment variable is NEMO_TOKEN (primary credential) which matches the service. The SKILL.md also describes an anonymous-token fallback flow (POST to /api/auth/anonymous-token) that will obtain a short-lived token if none is present; this is reasonable but slightly inconsistent with declaring NEMO_TOKEN as required. Metadata mentions a config path (~/.config/nemovideo/) in the frontmatter, while registry metadata lists none — a minor mismatch.

✓ Persistence & Privilege

always:false and normal autonomous invocation. The skill does not request elevated or persistent system privileges, does not install daemons, nor does it claim to modify other skills or system-wide settings.

版本历史

v1.0.0

- Initial release of AI Image to Video Kling skill. - Instantly animate still images into 1080p MP4 video clips using Kling AI, no manual animation required. - Automatic cloud connection and session handling; setup is guided and seamless. - Supports JPG, PNG, WEBP, HEIC uploads up to 20MB; quick cloud rendering returns results in 30–90 seconds. - Exports videos in 1080p MP4; check credits, edit timeline, and download with simple prompts. - Built for creators wanting a fast, manual-free way to bring static images to life.

元数据

Slug ai-image-to-video-kling

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 Kling 是什么？

Get animated video clips ready to post, without touching a single slider. Upload your still images (JPG, PNG, WEBP, HEIC, up to 20MB), say something like "an... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 83 次。

如何安装 Ai Image To Video Kling？

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

Ai Image To Video Kling 是免费的吗？

是的，Ai Image To Video Kling 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 Kling 支持哪些平台？

Ai Image To Video Kling 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 Kling？

由 mory128（@mory128）开发并维护，当前版本 v1.0.0。

Ai Image To Video Kling