← 返回 Skills 市场
francemichaell-15

Free Photo Video Maker

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
95
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install free-photo-video-maker
功能描述
Cloud-based free-photo-video-maker tool that handles turning photo collections into shareable videos. Upload JPG, PNG, HEIC, WebP files (up to 200MB), descri...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "turn ten vacation photos in JPG format into a 1080p MP4"
  • "turn my photos into a slideshow video with music and transitions"
  • "turning photo collections into shareable videos for casual creators and social media users"

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.

Free Photo Video Maker — Turn Photos Into Shareable Videos

Send me your photos and 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 ten vacation photos in JPG format, type "turn my 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: uploading photos in consistent aspect ratios produces cleaner transitions.

Matching Input to Actions

User prompts referencing free 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.

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is free-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).

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 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 social platforms.

Common Workflows

Quick edit: Upload → "turn my 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 looks like a typical cloud photo→video API client and only asks for a NEMO_TOKEN, which is expected. Things to check before installing: 1) Confirm you trust https://mega-api-prod.nemovideo.ai (owner/domain) and review its privacy/storage policy — you will be uploading images. 2) Ask the publisher why the SKILL.md lists a config path (~/.config/nemovideo/) and why the skill would probe install paths (~/.clawhub/, ~/.cursor/skills/); if you don’t want local filesystem probing, avoid installing or ask them to remove that behavior. 3) Prefer using an anonymous token (temporary) instead of a long-lived account token if you’re concerned about data retention. 4) Do not upload sensitive images to an unknown service. If the vendor/publisher cannot explain the configPath/install-path checks, treat the skill with caution.
功能分析
Type: OpenClaw Skill Name: free-photo-video-maker Version: 1.0.0 The skill is a legitimate integration for a cloud-based video creation service hosted at mega-api-prod.nemovideo.ai. It provides detailed instructions for the agent to manage anonymous authentication, file uploads, and server-side rendering workflows. The behavior is transparently documented and strictly aligned with the stated purpose of converting photos to videos, with no evidence of malicious intent, data exfiltration of sensitive local files, or unauthorized execution.
能力评估
Purpose & Capability
The name/description, API endpoints, and the single required env var (NEMO_TOKEN) are consistent with a cloud video-rendering service. However, the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/) while the registry metadata lists no required config paths; this mismatch suggests the skill may expect to read user config files or detect install paths, which is not necessary for basic upload/render functionality.
Instruction Scope
Instructions direct the agent to obtain or use NEMO_TOKEN, create sessions, upload files, stream SSE messages, and poll/render — all reasonable for the stated purpose. But the runtime text also instructs detecting an install path (~/.clawhub/, ~/.cursor/skills/) and deriving X-Skill-Platform from it, and references a config path in frontmatter. That implies probing the user's home filesystem/install locations which is beyond what a pure API-based cloud renderer needs. It also tells the agent to save session_id locally (expected) and to include tokens in headers; ensure tokens aren't printed or leaked.
Install Mechanism
This is an instruction-only skill with no install spec or code files, so nothing is written to disk by the skill bundle itself. Lower install surface compared to skills that download or extract archives.
Credentials
Only NEMO_TOKEN is declared as required (primary credential), which aligns with a service that needs bearer auth. The SKILL.md can also generate an anonymous token via the service's anonymous-token endpoint if NEMO_TOKEN is absent. The unexpected mention of configPaths in SKILL.md frontmatter is disproportionate to a simple API client and should be clarified.
Persistence & Privilege
always is false and the skill does not request persistent platform-wide privileges. It describes storing a session_id for the session lifecycle (normal). It does not declare modifying other skills or system-wide settings.
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 free-photo-video-maker
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-photo-video-maker 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 Free Photo Video Maker. - Upload JPG, PNG, HEIC, or WebP photos (up to 200MB) to create shareable 1080p MP4 videos in 30–60 seconds. - Supports simple editing commands: generate videos, add music/transitions, check credits, and download results. - Automatic free token and anonymous session setup for new users; no installation required. - Provides clear error handling and timeline summaries for video edits and exports. - Designed for casual creators and social media users seeking fast, cloud-based photo-to-video transformation.
元数据
Slug free-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

Free Photo Video Maker 是什么?

Cloud-based free-photo-video-maker tool that handles turning photo collections into shareable videos. Upload JPG, PNG, HEIC, WebP files (up to 200MB), descri... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 95 次。

如何安装 Free Photo Video Maker?

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

Free Photo Video Maker 是免费的吗?

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

Free Photo Video Maker 支持哪些平台?

Free 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 Free Photo Video Maker?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

💬 留言讨论