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Kling Ai Image To Video

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install kling-ai-image-to-video
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 creation. Or just tell me what you're thinking.

Try saying:

  • "convert my still images"
  • "export 1080p MP4"
  • "animate this image into a 5-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.

Kling AI Image to Video — Convert Images Into Video Clips

Drop your still images 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 a single product photo or illustrated scene, ask for animate this image into a 5-second cinematic video clip, and about 30-90 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — images with clear subjects and simple backgrounds animate more naturally.

Matching Input to Actions

User prompts referencing kling ai image to video, 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: kling-ai-image-to-video
  • 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 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

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.

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 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 "animate this image into a 5-second cinematic video clip" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across social platforms.

Common Workflows

Quick edit: Upload → "animate this image into a 5-second cinematic video clip" → 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.

安全使用建议
This skill appears to implement a cloud-based image→video converter and needs a NEMO_TOKEN (Bearer auth) to call the service. Before installing: (1) confirm the skill's source/homepage — no homepage is provided so provenance is unknown; (2) avoid supplying highly privileged tokens; prefer letting the skill use its anonymous-token flow if you don't trust the token; (3) be aware uploads will send your images to mega-api-prod.nemovideo.ai (privacy risk for sensitive images); (4) ask the author why the skill needs to detect install paths and a local config folder (~/.config/nemovideo/) — that file access is not clearly justified in the registry listing. If you require stronger assurance, request a published source repo or an official service homepage and verify the API endpoints and token scope before enabling the skill.
功能分析
Type: OpenClaw Skill Name: kling-ai-image-to-video Version: 1.0.0 The skill 'kling-ai-image-to-video' is a standard integration for an AI video generation service. It provides instructions for an AI agent to interact with a specific backend API (mega-api-prod.nemovideo.ai) to upload images, manage sessions, and export video files. The logic includes a user-friendly mechanism for acquiring anonymous trial tokens and maps user intents to appropriate API endpoints without any evidence of data exfiltration, unauthorized local execution, or malicious prompt injection.
能力评估
Purpose & Capability
Name/description (image→video) aligns with the declared primary credential NEMO_TOKEN and the API endpoints in SKILL.md. However, the SKILL.md frontmatter declares a required config path (~/.config/nemovideo/) while the registry listing showed no required config paths — this metadata mismatch is unexplained.
Instruction Scope
Runtime instructions direct the agent to upload user images and other media to an external API (mega-api-prod.nemovideo.ai), create sessions, stream SSE responses, and poll render jobs — all expected for this service. But the doc also instructs the agent to detect its install path (reading typical agent install locations) and to use/inspect a local config path (frontmatter), which are broader filesystem accesses than you'd expect for a simple API client and are not clearly justified in the registry metadata.
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 mechanism.
Credentials
Only one required environment variable (NEMO_TOKEN) is declared and used as a bearer token for API calls, which is proportionate to the service. The skill will obtain an anonymous starter token from the public auth endpoint if NEMO_TOKEN is absent — that behavior is reasonable but means the agent may perform outbound network auth calls automatically. The earlier-mentioned config path (if actually used) would broaden access to local configuration.
Persistence & Privilege
always:false and instruction-only behavior mean the skill is not force-installed or persistently privileged. It creates short-lived sessions on the remote service but does not claim to modify other skills or system-wide 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 kling-ai-image-to-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /kling-ai-image-to-video 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
Kling AI Image to Video — Version 1.0.0 - Initial release: convert still images (JPG, PNG, WEBP, HEIC, up to 20MB) into 1080p MP4 video clips using cloud AI. - Simple prompts—e.g., “animate this image into a 5-second cinematic video clip.” - Easy, credit-based anonymous authentication: auto-acquire free trial token if needed, no manual signup required. - Comprehensive chat-driven workflow: upload, edit, preview, export, and check status or credits. - Automated handling of file uploads, animation instructions, export/download, and error cases.
元数据
Slug kling-ai-image-to-video
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

Kling Ai Image To Video 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 68 次。

如何安装 Kling Ai Image To Video?

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

Kling Ai Image To Video 是免费的吗?

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

Kling Ai Image To Video 支持哪些平台?

Kling Ai Image To Video 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 Kling Ai Image To Video?

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

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