功能描述

convert static images into animated video clips with this skill. Works with JPG, PNG, WEBP, HEIC files up to 200MB. social media creators use it for converti...

使用说明 (SKILL.md)

Getting Started

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

Try saying:

"convert my static images"
"export 1080p MP4"
"animate these images into a smooth"

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 — Convert Images Into Video Clips

Name: Ai Image To
Author: tk8544-b

Send me your static images and describe the result you want. The AI video creation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload three product photos in JPG format, type "animate these images into a smooth video with transitions and background music", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: using high-resolution images produces sharper output video.

Matching Input to Actions

User prompts referencing ai image to, 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, 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).

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.

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 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 these images into a smooth video with transitions and background music" → 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 "animate these images into a smooth video with transitions and background music" — 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.

安全使用建议

This skill appears to do what it says: it uploads your images and calls a third-party rendering API (mega-api-prod.nemovideo.ai) using a NEMO_TOKEN. Before installing, consider: (1) uploaded images and generated video will be sent to an external service — avoid sending sensitive images you wouldn't want stored/processed remotely; (2) the skill can create anonymous tokens itself if none are provided — verify you are comfortable with the service issuing ephemeral tokens and track how long they live; (3) confirm the domain and service legitimacy (nemovideo.ai) before granting or pasting any long-lived tokens; (4) the skill may probe local install paths to set an attribution header — if you object to any local filesystem probing, ask the author to remove that behavior or to explicitly declare the config path it will read; (5) consider using a throwaway/limited token rather than a full-account secret and revoke it when you stop using the skill.

能力评估

✓ Purpose & Capability

The skill describes a cloud video-rendering service and its SKILL.md only requires a single service token (NEMO_TOKEN) and makes API calls to a nemovideo.ai backend — this aligns with the declared purpose. Minor mismatch: registry metadata listed no required config paths, but the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/). This is likely benign but inconsistent.

ℹ Instruction Scope

Instructions are narrowly focused on session creation, file upload, SSE streaming, polling render status, and token renewal — all expected for a remote render service. The SKILL.md also instructs the agent to detect the install path to set an X-Skill-Platform header (checking ~/.clawhub/ and ~/.cursor/skills/). That implies reading local install paths (filesystem probing) which is outside the declared environment fields and should be noted.

✓ Install Mechanism

No install spec or downloaded code — instruction-only skill. Lowest install risk (nothing is written to disk by an installer).

ℹ Credentials

Only one credential is declared (NEMO_TOKEN), which is exactly what the service needs. The skill will auto-request an anonymous token via the public anonymous-token endpoint if NEMO_TOKEN is absent; that behavior is reasonable for a client but means the skill will make network calls to obtain tokens on first run. Also the SKILL.md references a config path (~/.config/nemovideo/) in its metadata even though the registry entry did not declare required config paths — a small inconsistency.

✓ Persistence & Privilege

The skill is not marked always:true and does not request system-wide privileges. It needs to hold session_id and tokens for operations, which is normal for a session-based remote service; the SKILL.md does not instruct modifying other skills or system configs.

版本历史

v1.0.0

AI Image To Video — initial release - Convert static images (JPG, PNG, WEBP, HEIC, up to 200MB) into 1080p MP4 video clips using cloud GPUs. - Automatic setup with anonymous token generation (100 free credits, 7-day expiry). - Simple workflows: upload images, describe output, receive download link for rendered video. - Supports quick video generation with transitions, audio tracks, and text overlays. - Common export, status, and credits actions via user-friendly commands.

元数据

Slug ai-image-to

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 是什么？

convert static images into animated video clips with this skill. Works with JPG, PNG, WEBP, HEIC files up to 200MB. social media creators use it for converti... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 108 次。

如何安装 Ai Image To？

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

Ai Image To 是免费的吗？

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

Ai Image To 支持哪些平台？

Ai Image To 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？

由 tk8544-b（@tk8544-b）开发并维护，当前版本 v1.0.0。

Ai Image To