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whitejohnk-26

Image To Video Best

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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在 OpenClaw 中安装
/install image-to-video-best
功能描述
Skip the learning curve of professional editing software. Describe what you want — turn my photo into a smooth animated video with music — and get animated v...
使用说明 (SKILL.md)

Getting Started

Send me your images and I'll handle the AI video creation. Or just describe what you're after.

Try saying:

  • "convert three product photos or a single landscape image into a 1080p MP4"
  • "turn my photo into a smooth animated video with music"
  • "converting still images into shareable animated videos for marketers, social media creators, photographers"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer \x3Ctoken>, Content-Type: application/json, and body {"task_name":"project","language":"\x3Cdetected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

Image to Video — Convert Images Into Video Clips

Send me your 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 or a single landscape image, type "turn my photo into a smooth animated video with music", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: high-contrast images with clear subjects produce the smoothest motion results.

Matching Input to Actions

User prompts referencing image to video best, 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.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

Formats: 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: image-to-video-best
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

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

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)

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

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.

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

Tips and Tricks

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

Common Workflows

Quick edit: Upload → "turn my photo into a smooth animated video with 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.

安全使用建议
This skill appears to do what it says (upload your images to a third‑party backend to produce videos), but it will send your images and prompts to mega-api-prod.nemovideo.ai and may automatically obtain an anonymous NEMO_TOKEN if you haven't provided one. Before installing or using it: 1) be comfortable with sending any images you provide to that external service (avoid sensitive or private images), 2) consider supplying your own NEMO_TOKEN rather than allowing automatic anonymous token creation, 3) ask where session_id/token will be stored and for how long (the SKILL.md says to 'store' them but is vague), and 4) note the metadata mismatch about a config path (~/.config/nemovideo/) — verify whether the skill will read/write that directory. If you need stronger guarantees about data handling, contact the skill author or prefer a skill that runs locally.
功能分析
Type: OpenClaw Skill Name: image-to-video-best Version: 1.0.0 The skill is a functional integration for the NemoVideo AI service, designed to convert images into videos via a remote API (mega-api-prod.nemovideo.ai). It includes standard procedures for automated authentication (generating a UUID for a trial token), session management, and file uploads. While it instructs the agent to detect its installation path for platform attribution headers, this behavior is consistent with telemetry for a legitimate service and does not exhibit signs of data exfiltration, unauthorized access, or malicious intent.
能力评估
Purpose & Capability
The skill's requirements (NEMO_TOKEN, calls to mega-api-prod.nemovideo.ai) align with an image→video cloud-rendering service. However the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while registry metadata shows 'Required config paths: none' — this mismatch is inconsistent. Requiring only NEMO_TOKEN is proportionate to the stated purpose.
Instruction Scope
Instructions direct the agent to upload user images, create sessions, stream edits via SSE, and poll for export results on a third-party API (mega-api-prod.nemovideo.ai). That's expected for cloud rendering, but the skill also instructs the agent to automatically obtain an anonymous token if NEMO_TOKEN is not set (network call and credential creation without explicit user opt-in). The skill will transmit user files and prompts off‑platform; users should be made aware of data exfiltration/privacy implications. The instructions also say to 'store the returned session_id' but do not specify where or for how long — potential persistence/privacy ambiguity.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes local installation risk (nothing is written to disk by an installer). Network activity still occurs at runtime per SKILL.md.
Credentials
Only one environment variable (NEMO_TOKEN) is declared and used, which is appropriate. The skill, however, will auto-create an anonymous token via the service API when no NEMO_TOKEN is present — this is functionally reasonable but worth flagging because it implies the agent will make outbound network calls and obtain credentials automatically. The frontmatter references a config path which may suggest optional local storage, but registry metadata did not declare it.
Persistence & Privilege
always:false (normal). The skill recommends storing session_id and implicitly persisting the anonymous token if obtained, but it doesn't request 'always:true' or other elevated privileges. Autonomous invocation is allowed (platform default) — combined with automatic token generation and network upload of user images, this increases the blast radius if misused, so be cautious.
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 image-to-video-best
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /image-to-video-best 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: Instantly turn images into smooth animated video clips using AI. - Upload JPG, PNG, WEBP, or HEIC files up to 200MB, and get back MP4 videos in 30–60 seconds. - No editing software or technical skills needed; simply describe your desired video (e.g., "add music" or "make it animated"). - Automatic backend connection and session handling with up to 100 free credits. - Includes commands for checking credits, downloading videos, and customizing output (e.g., aspect ratio, text overlays, background audio). - Supports multi-track timelines, previews, and export to popular formats. - Ideal for marketers, social media creators, and photographers who want to animate static images quickly.
元数据
Slug image-to-video-best
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

Image To Video Best 是什么?

Skip the learning curve of professional editing software. Describe what you want — turn my photo into a smooth animated video with music — and get animated v... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 105 次。

如何安装 Image To Video Best?

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

Image To Video Best 是免费的吗?

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

Image To Video Best 支持哪些平台?

Image To Video Best 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 Image To Video Best?

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

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