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vynbosserman65

Kiss Video Maker Free

by vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install kiss-video-maker-free
Description
Get romantic kiss videos ready to post, without touching a single slider. Upload your photos or clips (MP4, MOV, JPG, PNG, up to 200MB), say something like "...
README (SKILL.md)

Getting Started

Share your photos or clips and I'll get started on AI video creation. Or just tell me what you're thinking.

Try saying:

  • "create my photos or clips"
  • "export 1080p MP4"
  • "create a kiss-themed video with music"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Kiss Video Maker Free — Create Romantic Videos From Photos

Send me your photos or clips 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 two selfie photos or a short romantic clip, type "create a kiss-themed video with music and transitions from my photos", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: using high-resolution photos gives sharper, more cinematic results.

Matching Input to Actions

User prompts referencing kiss video maker free, 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.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: kiss-video-maker-free
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else 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 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 "create a kiss-themed video with music and transitions from my photos" — concrete instructions get better results.

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

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

Common Workflows

Quick edit: Upload → "create a kiss-themed video with music and transitions from my photos" → 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.

Usage Guidance
This skill appears to do what it says: it uploads your photos/videos to a remote nemovideo.ai service and returns rendered MP4s. Before installing or using it, consider: (1) Privacy — your media will leave your device and be stored/processed by the remote service; review the service's privacy/terms if possible. (2) Credentials — the skill needs a NEMO_TOKEN (or it will auto-request an anonymous token); avoid supplying any high-privilege or unrelated secrets. (3) Metadata mismatch — the SKILL.md frontmatter mentions a config path (~/.config/nemovideo/) while the registry metadata lists no config paths; ask the publisher to clarify what local files (if any) the skill will read. (4) Origin — source/homepage are unknown; if you need assurance, request publisher identity or a public homepage before trusting sensitive media. If these points are acceptable, the skill is internally coherent and limited to its advertised cloud-rendering role.
Capability Analysis
Type: OpenClaw Skill Name: kiss-video-maker-free Version: 1.0.0 The skill is a functional wrapper for the Nemo Video AI service, facilitating cloud-based video editing and rendering. It manages authentication via the `NEMO_TOKEN` environment variable or an anonymous token generation process and communicates exclusively with `mega-api-prod.nemovideo.ai`. The logic in SKILL.md is strictly focused on mapping user requests to API endpoints for file uploads, session management, and video exporting, with no evidence of malicious data exfiltration or unauthorized system access.
Capability Assessment
Purpose & Capability
The name/description (create kiss-themed videos from photos/clips) matches the runtime instructions and the single required credential (NEMO_TOKEN). All declared endpoints and actions (upload, render, credits, state) are coherent with a remote video-rendering service.
Instruction Scope
Instructions direct the agent to upload user media and stream server-sent events from mega-api-prod.nemovideo.ai — this is expected for the stated purpose. The SKILL.md also instructs the agent to read/detect the skill install path (to set X-Skill-Platform) and to use a config path (~/.config/nemovideo/) in its frontmatter metadata; reading install paths or config files is outside pure video processing but appears limited to attribution/metadata. The instructions do not ask for unrelated system credentials or other files, but they will send user media to an external service (privacy consideration).
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk (nothing is downloaded or written by an install script). All network interactions occur at runtime via the described API endpoints.
Credentials
Only one environment variable is required: NEMO_TOKEN (primary credential) which is appropriate for an API-backed video service. If NEMO_TOKEN is absent the instructions generate an anonymous token via the service's anonymous-token endpoint — expected but means the skill will obtain and use temporary credentials automatically. There is a minor metadata mismatch: top-level registry info showed no required config paths, but the SKILL.md frontmatter declares configPaths (~/.config/nemovideo/).
Persistence & Privilege
Skill does not request always:true and uses default autonomous invocation. It does not ask to modify other skills or system-wide settings. The only filesystem probing is for attribution/install-path detection and an optional service config path mentioned in frontmatter.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install kiss-video-maker-free
  3. After installation, invoke the skill by name or use /kiss-video-maker-free
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Kiss Video Maker Free 1.0.0 — Initial Release - Instantly create romantic kiss-themed videos from user-uploaded photos or clips, with automated music and transitions. - No editing skills required—just upload files and describe your desired result. - Supports MP4, MOV, JPG, PNG uploads (up to 200MB each); outputs ready-to-share 1080p MP4. - Runs entirely server-side with secure, token-based sessions and up to 100 free credits for new users. - Includes quick actions: export video, check status/credits, upload or manage timeline, all through simple chat prompts. - Designed for couples, TikTok, and social media users who want fast, cinematic romantic video creation.
Metadata
Slug kiss-video-maker-free
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Kiss Video Maker Free?

Get romantic kiss videos ready to post, without touching a single slider. Upload your photos or clips (MP4, MOV, JPG, PNG, up to 200MB), say something like "... It is an AI Agent Skill for Claude Code / OpenClaw, with 52 downloads so far.

How do I install Kiss Video Maker Free?

Run "/install kiss-video-maker-free" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Kiss Video Maker Free free?

Yes, Kiss Video Maker Free is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Kiss Video Maker Free support?

Kiss Video Maker Free is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Kiss Video Maker Free?

It is built and maintained by vynbosserman65 (@vynbosserman65); the current version is v1.0.0.

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