Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Reddit Quote Carousel Topaz
Create an Instagram carousel from a popular-picks list with Reddit quotes + Topaz 2x upscaling. Cover = "clean" style ("Top CATEGORY in Destination"), attrac...
skill openclawclawhub Free
Create an Instagram carousel from a popular-picks list with Reddit quotes + Topaz 2x upscaling. Cover = "clean" style ("Top CATEGORY in Destination"), attrac...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
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
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" β use this skill. Bernard says "reddit-quote" β 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
Fetch the popular-picks page via web_fetch to get: List of attractions (names) A compelling Reddit quote for each attraction (vivid, specific, personal β not generic praise) The subreddit each quote came from (e.g. "r/london", "r/AskLondon") Total Reddit post count if shown on the page 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 β download candidates β vision-score β keep best 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" Write manifest to /tmp/ig-reddit-quote/manifest.json: { "destination": "Barcelona", "category": "Cheap Eats", "reddit_post_count": 150, "cover_photo": "/tmp/ig-reddit-quote/cover-enhanced.jpg", "slides": [ { "name": "Bar CaΓ±ete", "quote": "Went here on a random Tuesday and had the best patatas bravas of my life.", "subreddit": "r/barcelona", "photo": "/tmp/ig-reddit-quote/bar-canete-enhanced.jpg", "original": "/tmp/ig-reddit-quote/bar-canete-best.jpg", "source_url": "instagram.com/p/XXX/", "topaz_enhanced": true } ] }
Sub-agent 2: Text Overlays
Read manifest. Create overlays using instagram-photo-text-overlay skill on enhanced images. Slide 1 (Cover) β clean style: python3 /Users/psy/.openclaw/workspace/skills/instagram-photo-text-overlay/scripts/overlay.py \ --input /tmp/ig-reddit-quote/cover-enhanced.jpg \ --output /tmp/ig-reddit-quote/slide-1.jpg \ --title "Top {COUNT} {CATEGORY} in {DESTINATION}" \ --subtitle "Insider Takes from Reddit ({N}+ posts)" \ --style clean --watermark "tabiji.ai" Slides 2+ β quote style, one per attraction: python3 /Users/psy/.openclaw/workspace/skills/instagram-photo-text-overlay/scripts/overlay.py \ --input /tmp/ig-reddit-quote/{slug}-enhanced.jpg \ --output /tmp/ig-reddit-quote/slide-{N}.jpg \ --title "{ATTRACTION_NAME}" \ --quote "{REDDIT_QUOTE}" \ --author "{SUBREDDIT}" \ --style quote --watermark "tabiji.ai" Output: slides at /tmp/ig-reddit-quote/slide-{1-N}.jpg
Sub-agent 3: Publish to Instagram
Host images in tabiji repo (img/instagram/), git push, use raw GitHub URLs Create carousel item containers Create carousel container with caption Publish Get permalink Cleanup hosted images + local temp files
Instagram API Auth
Keys from macOS Keychain: instagram-access-token β Graph API token instagram-account-id β IG user ID (17841449394591017)
Topaz API Auth
topaz-api-key β Topaz Labs API key (macOS Keychain)
Caption Template
{flag_emoji} Top {COUNT} {CATEGORY} in {DESTINATION} Real recommendations from {N}+ Reddit posts 𧡠π Swipe for the spots + what Redditors actually said: 1. {Attraction 1} 2. {Attraction 2} ... Full list with maps, prices & more Reddit recs π {POPULAR_PICKS_URL} π¬ {PROVOCATIVE_QUESTION β e.g. "What's the most overrated restaurant you've been to abroad?" or "Would you trust a stranger's Reddit rec over a Michelin star?"} #{destination} #{category_tag} #redditfinds #traveltips #foodietravel #localfavorites #tabiji
Tips
Pick quotes that are specific and personal β "best patatas bravas of my life" beats "this place is great" Keep quotes under ~120 chars so they render well on the slide If a quote is too long, trim it but keep the vivid part The cover title should feel like a listicle: "Top 7 Cheap Eats in Barcelona" Topaz model: Low Resolution V2 β designed for web-sourced images (our exact use case) Topaz rate limits: If HTTP 429, use exponential backoff. Sequential processing of 6-8 images should be fine. Keep originals in manifest so you can 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
1 Docs
- SKILL.md