Tencent SkillHub · AI

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 To...

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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 To...

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, references/instagram-graph-api.md

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: psyduckler
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

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: web_search: site:instagram.com/p/ "{subject}" photo (10 results) Download top 5 candidates: curl -s -L -o /tmp/ig-carousel/raw-{slug}-{n}.jpg "https://www.instagram.com/p/{shortcode}/media/?size=l" Vision-score each with: "Rate 1-10 as hero destination photo for {subject}. Description + score only." 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" Model choice: Low Resolution V2 — designed for web-sourced images (exactly our use case). Handles JPEG compression artifacts, low resolution, and general softness. Fast and cheap. Parameters explained: output_scale_factor=2 — doubles the input resolution (2x upscale). For typical IG-sourced images (~1080px), this produces ~2160px which gives the overlay step plenty of resolution to work with. output_format=jpeg — keeps file size reasonable for IG's 8MB limit Output: 6 enhanced images at /tmp/ig-carousel/{slug}-enhanced.jpg + JSON manifest at /tmp/ig-carousel/manifest.json: [{"slug": "kuala-lumpur", "subject": "Kuala Lumpur", "score": 7, "path": "/tmp/ig-carousel/kuala-lumpur-enhanced.jpg", "original": "/tmp/ig-carousel/kuala-lumpur-best.jpg", "source": "instagram.com/p/XXX/", "topaz_enhanced": true}]

Sub-agent 2: Text Overlays

Read manifest from sub-agent 1. Run overlay script for each enhanced image. Slide 1 (cover) — clean style: python3 skills/instagram-photo-text-overlay/scripts/overlay.py \ --input /tmp/ig-carousel/{dest-slug}-enhanced.jpg \ --output /tmp/ig-carousel/slide-1.jpg \ --title "{N} Day {DESTINATION} Itinerary Highlights" \ --style clean --watermark "tabiji.ai" Slides 2–6 — quote style per attraction with insider tip: python3 skills/instagram-photo-text-overlay/scripts/overlay.py \ --input /tmp/ig-carousel/{slug}-enhanced.jpg \ --output /tmp/ig-carousel/slide-{N}.jpg \ --title "{ATTRACTION}" \ --quote "{Specific insider tip about THIS attraction — must directly reference the place in the title, not a generic travel tip}" \ --author "tabiji.ai" \ --style quote --watermark "tabiji.ai" Output: 6 overlay images at /tmp/ig-carousel/slide-{1-6}.jpg

Sub-agent 3: Publish to Instagram

Host images publicly — copy slides to tabiji repo (img/instagram/), git push, use raw GitHub URLs (https://raw.githubusercontent.com/psyduckler/tabiji/main/img/instagram/slide-{N}.jpg). Wait ~30s after push for GitHub CDN. Create carousel item containers (one per slide): curl -s -X POST "https://graph.facebook.com/v21.0/${IG_USER}/media" \ -d "image_url=${PUBLIC_URL}" \ -d "is_carousel_item=true" \ -d "access_token=${IG_TOKEN}" Create carousel container with all children + caption: curl -s -X POST "https://graph.facebook.com/v21.0/${IG_USER}/media" \ --data-urlencode "caption=${CAPTION}" \ -d "media_type=CAROUSEL" \ -d "children=${CHILD_IDS}" \ -d "access_token=${IG_TOKEN}" Publish: curl -s -X POST "https://graph.facebook.com/v21.0/${IG_USER}/media_publish" \ -d "creation_id=${CAROUSEL_ID}" \ -d "access_token=${IG_TOKEN}" Get permalink (or verify publish on rate-limit error): If media_publish returns a POST_ID, get the permalink directly: curl -s "https://graph.facebook.com/v21.0/${POST_ID}?fields=permalink&access_token=${IG_TOKEN}" If media_publish returns error 2207051 (rate limit / action blocked): Instagram sometimes processes the request despite returning an error. Always verify by checking the account's recent media before declaring failure: curl -s "https://graph.facebook.com/v21.0/${IG_USER}/media?fields=id,timestamp,permalink&limit=1&access_token=${IG_TOKEN}" If the most recent post timestamp is within the last few minutes, the publish likely succeeded — grab that permalink. Cleanup hosted images — after publish is confirmed, delete the images from the tabiji repo and push: cd /path/to/tabiji/repo git rm img/instagram/slide-*.jpg git commit -m "cleanup: remove instagram carousel images after publish" git push Also clean up local temp files: rm -rf /tmp/ig-carousel/ Output: Instagram post URL

Instagram API Auth

Keys from macOS Keychain: instagram-access-token — Graph API token instagram-account-id — IG user ID (17841449394591017)

Topaz API Auth

Key from macOS Keychain: topaz-api-key — Topaz Labs API key

Caption Template

🇲🇾 {N} Nights in {Destination} — {Itinerary Subtitle} {One-line hook about the trip} 📍 Swipe through our top 5 picks: 1. {Attraction 1} — {one-line reason} 2. {Attraction 2} — {one-line reason} 3. {Attraction 3} — {one-line reason} 4. {Attraction 4} — {one-line reason} 5. {Attraction 5} — {one-line reason} Full free itinerary with tips, prices & Reddit recs 👉 {ITINERARY_URL} 💬 {PROVOCATIVE_QUESTION — e.g. "Is 5 nights enough for {Destination} or do you need more?" or "What's the one thing most tourists get wrong about {Destination}?"} #{destination_hashtag} #{country} #travelitinerary #foodietravel #southeastasia #asiatravel #travelguide #tabiji

Tips

Raw GitHub URLs work for IG image_url; tabiji.ai Cloudflare CDN may trigger format validation errors. Add sleep 1 between container creation calls to avoid rate limits. If a subject yields low photo scores (<5), broaden search: try Unsplash/Flickr or more specific landmark names. Islamic/cultural museums tend to have fewer quality IG photos — try searching the museum's official IG handle. Topaz sync endpoint may return image bytes directly (check Content-Type header). If it returns JSON with process_id, switch to async flow. Topaz rate limits: If you get HTTP 429, use exponential backoff. Processing 6 images sequentially should be fine. Keep originals: The manifest stores both path (enhanced) and original so you can compare quality or fall back if Topaz fails on a specific image.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs

SKILL.md Primary doc
references/instagram-graph-api.md Docs