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time-lapse-video

Get time lapse MP4 ready to post, without touching a single slider. Upload your sequential images (JPG, PNG, MP4, MOV, up to 500MB), say something like "combine these photos into a 30-second time lapse video at 24fps", and download 1080p MP4 when it's done. Built for photographers, travel creators, nature videographers who move fast and want to compress hours of footage into seconds without manual editing.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/bwbernardweston18/time-lapse-video
Or

Getting Started

Share your sequential images and I'll get started on time lapse creation. Or just tell me what you're thinking.

Try saying:

  • "convert my sequential images"
  • "export 1080p MP4"
  • "combine these photos into a 30-second"

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.

Time Lapse Video — Convert Photo Sequences Into Video

Send me your sequential images and describe the result you want. The time lapse creation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload 200 photos taken every 30 seconds of a sunset, type "combine these photos into a 30-second time lapse video at 24fps", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: consistent intervals between shots produce the smoothest playback result.

Matching Input to Actions

User prompts referencing time lapse 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.

Include Authorization: Bearer <NEMO_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 time-lapse-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

Metadata

Stars4173
Views0
Updated2026-04-17
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-bwbernardweston18-time-lapse-video": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.

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