Reddit Quote Carousel (Topaz Enhanced)

Same as reddit-quote-carousel but adds Topaz Labs 2x AI upscale after photo finding, before text overlays.

Trigger

Bernard says "reddit-quote-topaz" → use this skill. Bernard says "reddit-quote" → use reddit-quote-carousel (no Topaz).

Parameters

• destination (required): City/region (e.g. "Barcelona")
• category (required): What the picks are (e.g. "Cheap Eats", "Hidden Gems", "Date Night Spots")
• popular_picks_url (required): tabiji.ai popular-picks page URL to pull attractions + Reddit quotes from
• reddit_post_count (optional): Number of Reddit posts analyzed (for subtitle). Pull from the page if available.

Pipeline (3 chained sub-agents)

Working directory: /tmp/ig-reddit-quote/

Sub-agent 1: Scrape Picks + Find Photos + Topaz Enhance

1. Fetch the popular-picks page via web_fetch to get:

   • List of attractions (names)
   • A compelling Reddit quote for each attraction (vivid, specific, personal — not generic praise)
   • The subreddit each quote came from (e.g. "r/london", "r/AskLondon")
   • Total Reddit post count if shown on the page

2. Find photos using instagram-photo-find workflow:

   • 1 hero photo for the destination (for cover slide)
   • 1 photo per attraction (for quote slides)
   • For each: web_search → download candidates → vision-score → keep best

3. Topaz 2x Enhance each best photo:

TOPAZ_API_KEY=$(security find-generic-password -s "topaz-api-key" -w)

curl --request POST \
  --url https://api.topazlabs.com/image/v1/enhance \
  --header "X-API-Key: ${TOPAZ_API_KEY}" \
  --header 'accept: image/jpeg' \
  --header 'content-type: multipart/form-data' \
  --form 'model=Low Resolution V2' \
  --form 'output_scale_factor=2' \
  --form 'output_format=jpeg' \
  --form "image=@/tmp/ig-reddit-quote/${slug}-best.jpg" \
  --output "/tmp/ig-reddit-quote/${slug}-enhanced.jpg"

If sync returns JSON with process_id instead of image bytes, use async flow:

# Submit async
RESPONSE=$(curl -s --request POST \
  --url https://api.topazlabs.com/image/v1/enhance/async \
  --header "X-API-Key: ${TOPAZ_API_KEY}" \
  --header 'content-type: multipart/form-data' \
  --form 'model=Low Resolution V2' \
  --form 'output_scale_factor=2' \
  --form 'output_format=jpeg' \
  --form "image=@/tmp/ig-reddit-quote/${slug}-best.jpg")

PROCESS_ID=$(echo "$RESPONSE" | jq -r '.process_id')

# Poll until Completed
while true; do
  STATUS=$(curl -s --header "X-API-Key: ${TOPAZ_API_KEY}" \
    "https://api.topazlabs.com/image/v1/status/${PROCESS_ID}" | jq -r '.status')
  [ "$STATUS" = "Completed" ] && break
  sleep 3
done

# Download
curl -s --header "X-API-Key: ${TOPAZ_API_KEY}" \
  "https://api.topazlabs.com/image/v1/download/${PROCESS_ID}" \
  --output "/tmp/ig-reddit-quote/${slug}-enhanced.jpg"