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Invitation Video Maker

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install invitation-video-maker
功能描述
Cloud-based invitation-video-maker tool that handles creating event invitation videos for weddings, birthdays, and parties. Upload JPG, PNG, MP4, MOV files (...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "create three event photos and guest names list into a 1080p MP4"
  • "create a 30-second wedding invitation video with date, venue, and RSVP details"
  • "creating event invitation videos for weddings, birthdays, and parties for event planners and individuals hosting events"

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.

Invitation Video Maker — Create and Export Invitation Videos

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

Here's a typical use: you send a three event photos and guest names list, ask for create a 30-second wedding invitation video with date, venue, and RSVP details, 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 — square or vertical formats work best for sharing invitations on WhatsApp and Instagram.

Matching Input to Actions

User prompts referencing invitation 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.

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.

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

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)

Common Workflows

Quick edit: Upload → "create a 30-second wedding invitation video with date, venue, and RSVP details" → 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 "create a 30-second wedding invitation video with date, venue, and RSVP details" — concrete instructions get better results.

Max file size is 200MB. Stick to JPG, PNG, MP4, MOV for the smoothest experience.

Export as MP4 for widest compatibility across messaging apps and social platforms.

安全使用建议
This skill will upload files you provide to a remote service (mega-api-prod.nemovideo.ai) and needs a NEMO_TOKEN to authenticate. If you do not provide a token, the skill will automatically request an anonymous token from the service and use it for up to 7 days per the docs. Before installing: confirm you trust the service and are comfortable with your media being uploaded to that domain; check whether tokens are stored on disk (frontmatter mentions ~/.config/nemovideo/); avoid providing other unrelated secrets; and prefer obtaining an explicit API token from the service if you want control over lifecycle and deletion. The skill is instruction-only (no code installs), which reduces installer risk, but network behavior and metadata inconsistencies (declared vs frontmatter config paths) warrant a cautious install. If you need higher assurance, ask the publisher for a homepage, privacy policy, or source code, or request explicit details about where/how tokens are persisted.
功能分析
Type: OpenClaw Skill Name: invitation-video-maker Version: 1.0.0 The skill is a legitimate integration for a cloud-based video creation service (nemovideo.ai). It provides clear instructions for the agent to manage authentication tokens, sessions, and file uploads to the service's API. While it performs environment checks for tokens and detects its installation path for telemetry headers, these actions are consistent with its stated purpose and do not exhibit malicious intent or unauthorized data exfiltration.
能力评估
Purpose & Capability
The name/description (cloud invitation-video creation) matches the runtime actions: session creation, file upload, SSE-based edit messages, render/export endpoints and a single required credential (NEMO_TOKEN). Requiring a service token for a remote render API is proportionate to the stated purpose.
Instruction Scope
SKILL.md confines actions to creating a session, uploading user-provided media, sending SSE messages, and polling render endpoints. It does instruct the agent to check environment for NEMO_TOKEN and, if absent, to POST to an anonymous-token endpoint to obtain one. The frontmatter also references a config path (~/.config/nemovideo/) and detection of install path (~/.clawhub/, ~/.cursor/skills/) which implies the agent may inspect local paths; this is reasonable for attribution but is broader than strictly necessary for a stateless uploader and should be noted.
Install Mechanism
No install spec, no code files — instruction-only. This minimizes filesystem persistence and executable installs; runtime network calls are the primary risk surface.
Credentials
Only a single credential (NEMO_TOKEN) is declared and used, which is appropriate for a remote-rendering API. However, SKILL.md's frontmatter lists a config path (~/.config/nemovideo/) (despite the registry metadata earlier saying none), so the agent may read or look for local token/config files. The skill also implements an automated anonymous-token acquisition flow (server POST) when no token is present — convenient but means the skill will perform network auth automatically.
Persistence & Privilege
always is false and there is no instruction to modify other skills or global agent settings. The skill will create ephemeral sessions and render jobs; it notes orphaned jobs if the client closes the tab, but it does not request persistent 'always' presence or elevated privileges.
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 invitation-video-maker
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /invitation-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 Invitation Video Maker — Create and Export Invitation Videos (v1.0.0). - Upload JPG, PNG, MP4, MOV files (up to 200MB) and generate 1080p MP4 invitation videos via a cloud-based pipeline. - Fast setup with automatic cloud connection and free token generation for guests. - Session management, easy uploads, state tracking, credits checking, and fast export (30–90 seconds typical job time). - Supports common formats and offers batch, iterative, and quick-edit workflows. - Includes detailed error handling and user guidance for common problems and best practices.
元数据
Slug invitation-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

Invitation Video Maker 是什么?

Cloud-based invitation-video-maker tool that handles creating event invitation videos for weddings, birthdays, and parties. Upload JPG, PNG, MP4, MOV files (... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 114 次。

如何安装 Invitation Video Maker?

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

Invitation Video Maker 是免费的吗?

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

Invitation Video Maker 支持哪些平台?

Invitation 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 Invitation Video Maker?

由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。

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