Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Searches for Instagram photos of a destination using Brave web search, downloads candidate images, and scores each one with a vision model for scenic quality and how well it represents the place. Returns the top-ranked photos with source URLs and local file paths.
Automates filtering out selfies, brand posts, and low-quality results by scoring candidates with a vision model before returning them.
When to use it
- Finding hero images for a travel blog post
- Sourcing destination photos for a city guide app
- Getting scenic photos of a specific restaurant or landmark
- Curating visuals for a tourism or travel landing page
- Picking cover photos for a location-based feature article
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Find the best Instagram photos of Barton Springs Austin
- 1Searches Brave for site:instagram.com/p/ "Barton Springs" Austin popular photo
- 2Filters top 5-6 candidates by title for scenic and visual content
- 3Downloads each candidate image via the Instagram media endpoint
- 4Scores each image with a vision model for scenic quality and iconicness
- 5Returns the top 2 results ranked by score with descriptions, post URLs, and file paths
Two ranked Instagram photos with vision scores, brief descriptions, instagram.com post URLs, and local file paths