功能描述

turn photos or images into photo slideshow video with this ai-photo-video-maker skill. Works with JPG, PNG, HEIC, WebP files up to 200MB. social media creato...

使用说明 (SKILL.md)

Getting Started

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

Try saying:

"turn five vacation photos in JPG format into a 1080p MP4"
"turn these photos into a slideshow video with music and transitions"
"turning photo collections into shareable videos for social media creators"

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 Photo Video Maker — Turn Photos Into Shareable Videos

Name: Ai Photo Video Maker
Author: vcarolxhberger

Send me your photos or 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 five vacation photos in JPG format, type "turn these photos into a slideshow video with music and transitions", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: using 5-10 photos gives the best pacing for short social videos.

Matching Input to Actions

User prompts referencing ai photo video maker, 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-photo-video-maker, 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.

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 "turn these photos into a slideshow video with music and transitions" — concrete instructions get better results.

Max file size is 200MB. Stick to JPG, PNG, HEIC, WebP for the smoothest experience.

Export as MP4 for widest compatibility across all social platforms.

Common Workflows

Quick edit: Upload → "turn these photos into a slideshow video with music and transitions" → 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 will upload your images and audio to an external rendering service (https://mega-api-prod.nemovideo.ai) and requires a NEMO_TOKEN for authorization. If you don't provide one, it will create an anonymous token for you (100 free credits, 7‑day expiry). Before installing: (1) confirm you're comfortable uploading the images and any metadata to that external domain, (2) verify the service/privacy terms if you plan to use sensitive photos, (3) be aware the skill may read your install path or ~/.config/nemovideo/ if present (the SKILL.md and registry metadata disagree about config path requirements), and (4) if you later want to revoke access, remove or rotate the NEMO_TOKEN. The skill appears coherent with its stated purpose, but double-check the endpoint/domain and privacy model before use.

功能分析

Type: OpenClaw Skill Name: ai-photo-video-maker Version: 1.0.0 The ai-photo-video-maker skill is a legitimate integration for a cloud-based video generation service (nemovideo.ai). It provides clear instructions for the AI agent to handle API authentication, session management, and file uploads to the service's production endpoints. The behavior is consistent with the stated purpose, and the instructions include security-conscious directives such as preventing the exposure of API tokens or raw backend data to the user.

能力评估

ℹ Purpose & Capability

Name/description match the runtime instructions: the SKILL.md describes calling a nemo video backend (https://mega-api-prod.nemovideo.ai) to upload images, create a session, stream events, and request renders. The declared primary credential (NEMO_TOKEN) is appropriate for that API. Minor inconsistency: the registry summary listed no required config paths, but the skill's YAML frontmatter includes a configPaths entry (~/.config/nemovideo/). This mismatch is unexplained but not necessarily malicious.

✓ Instruction Scope

The instructions stay within the video-rendering domain: check/get a NEMO_TOKEN, create a session, upload files, read SSE, poll state, and request renders. The steps explicitly reference only the service endpoints and expected headers. The skill will send user-uploaded media to the remote service (expected for this functionality). It does read environment and install-path info only to derive headers/attributes — nothing in the visible SKILL.md instructs reading unrelated user files or other credentials.

✓ Install Mechanism

Instruction-only skill with no install spec and no code files present; nothing is written to disk or downloaded by an installer. This is the lowest-risk install pattern.

ℹ Credentials

Only one credential is required (NEMO_TOKEN), which matches the described API usage. The SKILL.md also describes generating an anonymous token by POSTing to the provider if no NEMO_TOKEN is set (token is then used as NEMO_TOKEN). That automatic token acquisition is reasonable for anonymous usage, but users should understand it will create and store a short-lived credential (100 free credits, 7‑day expiry). Also note the inconsistent configPaths declaration between registry metadata and the YAML frontmatter — the skill claims access to ~/.config/nemovideo/ in the frontmatter, which could contain additional credentials or config.

✓ Persistence & Privilege

always is false and there is no install script or request to modify other skills or system-wide settings. The skill can be invoked autonomously (disable-model-invocation: false), which is the platform default; this is expected and not by itself a concern.

版本历史

v1.0.0

AI Photo Video Maker — Initial Release - Create shareable videos from photo collections (JPG, PNG, HEIC, WebP) in 1080p MP4 format. - Automatic setup connects to a cloud GPU backend; supports anonymous or token-based sessions. - User-friendly prompts and actions: upload, generate slideshow, add music, export, check status, and manage credits. - Real-time status updates; seamless session and error handling for smooth workflow. - Detailed API and workflow documentation integrated for easy use by social media creators.

元数据

Slug ai-photo-video-maker

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 Photo Video Maker 是什么？

turn photos or images into photo slideshow video with this ai-photo-video-maker skill. Works with JPG, PNG, HEIC, WebP files up to 200MB. social media creato... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 96 次。

如何安装 Ai Photo Video Maker？

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

Ai Photo Video Maker 是免费的吗？

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

Ai Photo Video Maker 支持哪些平台？

Ai Photo Video Maker 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 Photo Video Maker？

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

Ai Photo Video Maker