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itinerary-carousel-post-topaz

Create and publish an Instagram carousel post from a tabiji.ai itinerary, with Topaz Labs AI image enhancement. Same as itinerary-carousel-post but adds a Topaz upscale/enhance step after photo finding and before text overlays. Use when asked to create an Instagram carousel with Topaz enhancement.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/psyduckler/itinerary-carousel-post-topaz
Or

Create Instagram Carousel Post (Topaz Enhanced)

End-to-end pipeline: itinerary URL → photo sourcing → Topaz AI enhance → text overlays → Instagram carousel publish.

Identical to itinerary-carousel-post except Sub-agent 1 includes a Topaz enhancement step after selecting the best photo for each subject.

Parameters

  • itinerary_url (required): tabiji.ai itinerary URL (e.g. https://tabiji.ai/i/thaw-dome/)
  • destination (required): City/region name (e.g. "Kuala Lumpur")
  • attractions (required): List of 5 attraction names + short descriptions
  • caption (optional): Custom caption. If omitted, generate one with destination name, attraction list, CTA to link in bio, and relevant hashtags.

Pipeline (3 chained sub-agents recommended)

Split into 3 sub-agents for reliability. Each writes outputs to /tmp/ig-carousel/.

Sub-agent 1: Photo Finding + Topaz Enhancement

Use the instagram-photo-find skill workflow for each subject (1 destination + 5 attractions = 6 total).

For each subject:

  1. web_search: site:instagram.com/p/ "{subject}" photo (10 results)
  2. Download top 5 candidates: curl -s -L -o /tmp/ig-carousel/raw-{slug}-{n}.jpg "https://www.instagram.com/p/{shortcode}/media/?size=l"
  3. Vision-score each with: "Rate 1-10 as hero destination photo for {subject}. Description + score only."
  4. Keep best per subject → /tmp/ig-carousel/{slug}-best.jpg

5. Topaz Enhance each best image:

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: ${TOPAZ_API_KEY}" \
  --header 'accept: image/jpeg' \
  --header 'content-type: multipart/form-data' \
  --form 'model=Low Resolution V2' \
  --form 'output_scale_factor=2' \
  --form 'output_format=jpeg' \
  --form "image=@/tmp/ig-carousel/${slug}-best.jpg" \
  --output "/tmp/ig-carousel/${slug}-enhanced.jpg"

If the sync endpoint times out or returns a process_id instead of image bytes, use the async flow:

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

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

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

Metadata

Stars1171
Views0
Updated2026-02-19
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Add to Configuration

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

{
  "plugins": {
    "official-psyduckler-itinerary-carousel-post-topaz": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.

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