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vynbosserman65

Beginners Photo Video

作者 vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install beginners-photo-video
功能描述
Turn five vacation photos from your phone into 1080p slideshow video clips just by typing what you need. Whether it's turning a set of photos into a shareabl...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "turn five vacation photos from your phone into a 1080p MP4"
  • "turn my photos into a short video with music and transitions"
  • "turning a set of photos into a shareable video for beginners and casual 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.

Beginners Photo Video — Turn Photos Into Shareable Videos

Drop your photos or images in the chat and tell me what you need. I'll handle the AI video creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a five vacation photos from your phone, ask for turn my photos into a short video with music and transitions, and about 30-60 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — using 5-10 photos gives the best pacing for a short video.

Matching Input to Actions

User prompts referencing beginners photo video, 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.

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

Headers are derived from this file's YAML frontmatter. X-Skill-Source is beginners-photo-video, 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 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

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

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.

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)

Common Workflows

Quick edit: Upload → "turn my photos into a short 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn my photos into a short 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.

安全使用建议
This skill appears to do what it says (upload images to nemovideo.ai and return a short video) but has some implementation oddities. Before installing: 1) Confirm you trust the domain (mega-api-prod.nemovideo.ai) and read its privacy/terms — your photos will be uploaded to that backend. 2) Ask the publisher to resolve the metadata mismatch (SKILL.md lists a config path while registry metadata does not) and to explain why the skill needs to probe the agent's install path to set headers. 3) Test with non-sensitive images first and ensure tokens can be revoked/rotated (anonymous tokens are time-limited but confirm). 4) If you are concerned about local-file access, verify where the agent will read files from and whether uploads are initiated only for files you explicitly drop in chat. If you want higher assurance, request the skill publisher or maintainer contact info or a homepage before using it with private material.
功能分析
Type: OpenClaw Skill Name: beginners-photo-video Version: 1.0.0 The skill is a legitimate integration for the NemoVideo AI service, designed to convert photos into videos via a cloud-based API (mega-api-prod.nemovideo.ai). It manages authentication through environment variables or automated anonymous token generation and handles file uploads and rendering tasks as described in SKILL.md. While it performs network requests and basic environment discovery (checking install paths for platform attribution), these actions are clearly aligned with its stated purpose and lack any indicators of malicious intent or unauthorized data exfiltration.
能力评估
Purpose & Capability
The skill claims to convert photos to 1080p videos using a cloud backend; the required credential (NEMO_TOKEN) and the API endpoints in SKILL.md match that purpose. However, SKILL.md metadata mentions a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths — an inconsistency in declared requirements. Also the skill derives attribution headers from the agent's install path, which requires probing the environment; this is not obviously necessary for basic photo-to-video functionality.
Instruction Scope
The SKILL.md contains concrete runtime instructions that include: checking the NEMO_TOKEN env var, falling back to POSTing to an anonymous-token endpoint to obtain a token, creating sessions, uploading files (multipart or via URL), and using SSE and polling the render endpoint. These network actions are coherent with the service, but the instructions also require determining the agent's install path to set X-Skill-Platform and imply access to local file paths for multipart uploads. That means the agent may read filesystem paths (install path and any user-specified file paths) which is broader than the skill's declared requirements and should be disclosed to users.
Install Mechanism
There is no install spec and no code files — SKILL.md is instruction-only. That minimizes write-to-disk risk. Network calls described in the instructions are the main runtime surface.
Credentials
Only one credential is declared (NEMO_TOKEN) and it is directly used by the API calls described, which is proportionate. The skill will create an anonymous token if none exists (via the public anonymous-token endpoint). Still, the SKILL.md metadata lists a config path (~/.config/nemovideo/) while the top-level registry reported none; this mismatch should be clarified. Also the skill tells the agent to keep session tokens for operations — make sure tokens are stored securely and not leaked.
Persistence & Privilege
always is false and the skill does not request persistent system privileges. It does instruct the agent to keep session IDs and tokens for the duration of the session, which is normal for a cloud service client. There is no instruction to modify 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 beginners-photo-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /beginners-photo-video 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 Beginners Photo Video: easily turn 5–10 photos into 1080p shareable videos in under a minute using simple prompts. - No need for manual editing—just upload photos and describe your desired result. - Seamless cloud processing with automatic session/token management; setup completes with a “Ready!” notification. - Exports support MP4 (default) plus other video, image, and audio formats. Max file size: 200MB. - Common workflows include quick edits, batch processing, and iterative refinement with easy re-edits.
元数据
Slug beginners-photo-video
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

Beginners Photo Video 是什么?

Turn five vacation photos from your phone into 1080p slideshow video clips just by typing what you need. Whether it's turning a set of photos into a shareabl... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 34 次。

如何安装 Beginners Photo Video?

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

Beginners Photo Video 是免费的吗?

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

Beginners Photo Video 支持哪些平台?

Beginners Photo Video 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 Beginners Photo Video?

由 vynbosserman65(@vynbosserman65)开发并维护,当前版本 v1.0.0。

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