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vcarolxhberger

Ai Image To Video King

作者 vcarolxhberger · 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-image-to-video-king
功能描述
Skip the learning curve of professional editing software. Describe what you want — turn my image into a smooth animated video with motion effects — and get a...
使用说明 (SKILL.md)

Getting Started

Got still images to work with? Send it over and tell me what you need — I'll take care of the AI video creation.

Try saying:

  • "convert three product photos or a single portrait image into a 1080p MP4"
  • "turn my image into a smooth animated video with motion effects"
  • "converting static images into dynamic videos for social media for content creators and marketers"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

AI Image to Video King — Turn Images Into Videos

This tool takes your still 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 or a single portrait image and want to turn my image into a smooth animated video with motion effects — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: high-contrast images with clear subjects produce the most impressive motion results.

Matching Input to Actions

User prompts referencing ai image to video king, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-image-to-video-king, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

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

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 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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn my image into a smooth animated video with motion effects" — 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 all social platforms.

Common Workflows

Quick edit: Upload → "turn my image into a smooth animated video with motion effects" → 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.

安全使用建议
This skill appears to do what it says: it uploads images to nemovideo's API and returns rendered MP4s, and it needs a NEMO_TOKEN to authenticate. Before installing, confirm (1) the vendor/domain (mega-api-prod.nemovideo.ai) is trustworthy — the skill has no homepage or source listed; (2) whether the skill will create or write files under ~/.config/nemovideo/ (SKILL.md references this but registry metadata did not); (3) that NEMO_TOKEN you provide is scoped/limited (use an anonymous/ephemeral token if possible, not a high-privilege/site-wide secret); and (4) you are comfortable the agent will make network requests and upload any images you give it. If you need higher assurance, ask the author for documentation or a homepage and for clarity about what, if anything, will be written to disk.
功能分析
Type: OpenClaw Skill Name: ai-image-to-video-king Version: 1.0.0 The skill is a legitimate wrapper for an AI image-to-video generation service hosted at mega-api-prod.nemovideo.ai. It implements standard API patterns for authentication (NEMO_TOKEN), session management, and file uploads. The instructions in SKILL.md are focused on guiding the AI agent through the multi-step process of video rendering and state management, including security-conscious directives like not printing raw tokens. No evidence of data exfiltration, unauthorized execution, or malicious intent was found.
能力评估
Purpose & Capability
Name/description match the behavior: SKILL.md describes uploading images, creating sessions, submitting render jobs, and downloading MP4s from mega-api-prod.nemovideo.ai; the single required credential (NEMO_TOKEN) is appropriate for that API.
Instruction Scope
Instructions focus on service interaction: obtain/use NEMO_TOKEN, create sessions, upload files, stream SSE, poll job status. They do not instruct the agent to read unrelated system files or unrelated credentials.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is written to disk by an installer (lowest install risk).
Credentials
Only NEMO_TOKEN is required which is proportional to a cloud rendering API. Minor inconsistency: registry metadata listed no required config paths, but the SKILL.md frontmatter references a config path (~/.config/nemovideo/) — this could be for caching session state but should be confirmed.
Persistence & Privilege
Skill runs network calls and stores a session_id / token for the service (expected). It does not request always:true or system-wide privileges, but the SKILL.md implies writing to a per-user config path (see environment_proportionality) — confirm whether the agent will actually write files and what they contain.
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-king
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-image-to-video-king 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 Image to Video King 1.0.0 — Initial Release - Instantly convert uploaded still images (JPG, PNG, WEBP, HEIC) into smooth animated videos with AI-powered motion effects. - Simple workflow: upload, describe your vision, and receive a 1080p MP4 within 30–60 seconds. - No complex editing tools required; handles session, token, and cloud rendering automatically. - Credit and export management included; clear error handling and workflow feedback. - Ideal for content creators and marketers seeking fast dynamic video creation from static photos.
元数据
Slug ai-image-to-video-king
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 King 是什么?

Skip the learning curve of professional editing software. Describe what you want — turn my image into a smooth animated video with motion effects — and get a... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 69 次。

如何安装 Ai Image To Video King?

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

Ai Image To Video King 是免费的吗?

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

Ai Image To Video King 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 King?

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

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