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Best Image To Video Ai

作者 linmillsd7 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install best-image-to-video-ai
功能描述
marketers, social media creators, photographers convert still images into animated video clips using this skill. Accepts JPG, PNG, WEBP, HEIC up to 200MB, re...
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"
  • "turn my photo into a smooth"

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.

Best Image to Video AI — Convert Photos into Video Clips

Send me your still 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 motion effects", 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 most natural-looking motion.

Matching Input to Actions

User prompts referencing best image to video ai, 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 requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source best-image-to-video-ai
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

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

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.

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 photo 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.

Use PNG for source images to preserve quality before conversion.

Common Workflows

Quick edit: Upload → "turn my photo 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 perform what it claims (upload images, call nemovideo.ai, return MP4s) and only asks for a single token. Before installing, consider: 1) Privacy — uploaded images are sent to an external API (mega-api-prod.nemovideo.ai). Don’t upload sensitive/private photos unless you trust the service and have reviewed its privacy policy. 2) Token safety — only provide a NEMO_TOKEN if you trust the provider; prefer using the anonymous-token flow for testing. 3) Metadata mismatch — confirm whether the skill will read a local config (~/.config/nemovideo/), since registry metadata omitted that. 4) Test with non-sensitive images first and verify the service domain and expected headers. If you need higher assurance, ask the publisher for a privacy policy, a canonical homepage, or source code for review.
功能分析
Type: OpenClaw Skill Name: best-image-to-video-ai Version: 1.0.0 The skill bundle is a functional wrapper for an image-to-video AI service hosted at nemovideo.ai. It provides the agent with instructions for session management, media uploads, and polling for render results via the mega-api-prod.nemovideo.ai endpoint. While it includes telemetry headers and environment fingerprinting (X-Skill-Platform), these behaviors are consistent with the stated purpose of providing a cloud-based rendering service and do not exhibit signs of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
The name/description (convert still images to animated MP4s) aligns with the declared requirement of a single service token (NEMO_TOKEN) and the SKILL.md's API calls to nemovideo.ai. However, the frontmatter metadata includes a configPaths entry (~/.config/nemovideo/) while the registry metadata lists no required config paths — a mismatch that should be clarified.
Instruction Scope
The SKILL.md only instructs network interactions (auth, session creation, SSE, upload, export) and file uploads which are expected for a cloud render service. It does not instruct reading unrelated system files or unrelated credentials. Minor scope note: it asks to auto-detect an install/platform path for an X-Skill-Platform header which could require inspecting the runtime environment.
Install Mechanism
No install spec and no code files — lowest install risk. The skill is instruction-only and performs HTTP requests at runtime; nothing is downloaded or written by an installer.
Credentials
Only one credential (NEMO_TOKEN) is declared as required, which is proportionate for an API-backed render service. The frontmatter's configPaths hint that the skill might also read a local config (~/.config/nemovideo/), but the rest of the document does not explain why — ask the publisher whether local config access is needed.
Persistence & Privilege
always is false and the skill does not request persistent/privileged platform-wide changes. It uses tokens/sessions scoped to the service; autonomous invocation is default but not combined with other high-risk flags.
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 best-image-to-video-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /best-image-to-video-ai 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 of Best Image to Video AI skill. - Upload JPG, PNG, WEBP, or HEIC images up to 200MB; converts photos into 1080p animated MP4 video clips within 30–60 seconds. - Fully cloud-based—no local installation required, runs on remote GPUs. - Automatic token management with free trial credits for new users; seamless session establishment. - Supports export, video editing, text overlays, and audio via intuitive prompts. - Detailed error handling, session tracking, and export workflow guidance included.
元数据
Slug best-image-to-video-ai
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

Best Image To Video Ai 是什么?

marketers, social media creators, photographers convert still images into animated video clips using this skill. Accepts JPG, PNG, WEBP, HEIC up to 200MB, re... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 85 次。

如何安装 Best Image To Video Ai?

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

Best Image To Video Ai 是免费的吗?

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

Best Image To Video Ai 支持哪些平台?

Best Image To Video Ai 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 Best Image To Video Ai?

由 linmillsd7(@linmillsd7)开发并维护,当前版本 v1.0.0。

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