Wedding Invitation Video

v1.0.0

Turn five couple photos and a short venue clip into 1080p wedding invite video just by typing what you need. Whether it's creating personalized wedding invit...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for susan4731-wilfordf/wedding-invitation-video.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Wedding Invitation Video" (susan4731-wilfordf/wedding-invitation-video) from ClawHub.
Skill page: https://clawhub.ai/susan4731-wilfordf/wedding-invitation-video
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install wedding-invitation-video

ClawHub CLI

Package manager switcher

npx clawhub@latest install wedding-invitation-video
Security Scan
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Benign
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OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
Name/description match the runtime instructions: the skill calls a nemo video API to upload media, run SSE generation, and return a download URL. Requiring a single service token (NEMO_TOKEN) is proportionate. Minor inconsistency: the top-level registry metadata lists no required config paths, but the SKILL.md frontmatter advertises a config path (~/.config/nemovideo/). This mismatch should be clarified.
Instruction Scope
SKILL.md stays on task (session creation, upload, SSE, render/export). It instructs generating an anonymous token if none is present, creating and saving a session_id, uploading files via multipart or URLs, and polling export status. A small scope creep: it uses the agent's install path to set an X-Skill-Platform header (reads install path to infer platform) and instructs saving tokens/session IDs — both are plausible for attribution and operation but are actions the user should be aware of.
Install Mechanism
No install spec and no code files — instruction-only. Lowest-risk install footprint.
Credentials
Only NEMO_TOKEN is declared and used as the API credential, which is appropriate. The SKILL.md frontmatter also references a config path (~/.config/nemovideo/), which the registry summary did not list; this discrepancy should be resolved. The skill does not request unrelated credentials.
Persistence & Privilege
always:false and autonomous invocation defaults are normal. The skill explicitly instructs storing the anonymous token (data.token) as NEMO_TOKEN and saving session_id; this implies persistent credential/state storage within the agent environment. That is functionally reasonable for resumable render jobs but increases the importance of token lifecycle management (revocation, expiry).
Assessment
This skill appears to do what it says: it uses a single service token (NEMO_TOKEN) to call a remote video-rendering API and manages sessions, uploads, and exports. Before installing, consider: 1) Do you trust the domain (mega-api-prod.nemovideo.ai) and the skill owner? 2) The skill will store a token/session_id for later use — if you prefer not to persist credentials, use an anonymous token with limited credits or clear/revoke the token after use. 3) The SKILL.md mentions a config path (~/.config/nemovideo/) but the registry metadata omits it — ask the author which paths will actually be read/written. 4) Don’t upload images or clips you consider highly sensitive without checking the service’s retention/privacy policy. 5) If you install, monitor and remove stored tokens/sessions when you’re done and consider limiting the agent’s ability to run skills autonomously if you want extra control.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

💍 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk97ejyq6yfzzbxn7ww93r8aec5854q59
109downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

Getting Started

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

Try saying:

  • "create five couple photos and a short venue clip into a 1080p MP4"
  • "create a 60-second wedding invitation video with our names, date, and romantic background music"
  • "creating personalized wedding invitation videos to share with guests for couples and wedding planners"

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: <uuid>. 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.

Wedding Invitation Video — Create and Share Invite Videos

Drop your photos and clips 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 couple photos and a short venue clip, ask for create a 60-second wedding invitation video with our names, date, and romantic background music, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — use portrait-oriented photos for better framing on mobile screens where most guests will view it.

Matching Input to Actions

User prompts referencing wedding invitation video, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...ActionSkip 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.

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

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

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

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

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

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

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

Session state: GET /api/state/nemo_agent/me/<sid>/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_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> 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.

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.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend saysYou 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

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)

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "create a 60-second wedding invitation video with our names, date, and romantic background music" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, JPG, PNG for the smoothest experience.

Export as MP4 for widest compatibility across WhatsApp, Instagram, and email sharing.

Common Workflows

Quick edit: Upload → "create a 60-second wedding invitation video with our names, date, and romantic background music" → Download MP4. Takes 1-2 minutes 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.

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