Trip Save

Save travel inspiration from YouTube videos, Instagram reels, blog URLs, tweets, or plain text like "want to visit Hampi". Extracts destination, auto-tags by vibe and location, stores in memory.

Audits

Pass

ClawScanPass

Agentic behavior and permission review.

Static analysisPass

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install trip-save

Trip Save

When to activate

User forwards a URL (YouTube, Instagram, blog, tweet)
User says "save this", "want to visit X", "adding X to my list", "bookmark this"

URL handling

Use web search or web fetch to get the page content
Extract: destination name, key details, vibe
Auto-tag and store in memory

Plain text saves

"want to visit Hampi" → destination: Hampi
Extract any vibe/budget hints from context

Auto-tagging

Location: state/region (Himachal, Rajasthan, Goa, Kerala)
Vibe: mountains, beaches, heritage, adventure, spiritual, nightlife, offbeat
Budget: budget, mid-range, luxury
Source: youtube, instagram, blog, text, voice

Memory storage

Remember each save as: "Saved destination: [name] | Tags: [tags] | Source: [url or text] | Date: [today]"

Recall

When user asks "show my saved places" or "what did I save":

List all saved destinations from memory
Support filtering: "show my beach saves"

Response

"✓ Saved: Kasol · mountains, Himachal, budget · from YouTube"

If destination unclear: "Saved the link. What place is this about?"

Rules

Don't summarize the article/video — just save and confirm
Don't give planning advice on save