Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Content Creation
Reddit Quote Carousel
Create an Instagram carousel from a popular-picks list with Reddit quotes. Cover slide uses "clean" style with "Top CATEGORY in Destination" title. Each attr...
skill openclawclawhub Free
Create an Instagram carousel from a popular-picks list with Reddit quotes. Cover slide uses "clean" style with "Top CATEGORY in Destination" title. Each attr...
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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
Instagram carousel: cover + attraction slides with Reddit quotes, sourced from a popular-picks list.
Trigger
Bernard says "reddit-quote" โ use this skill.
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, e.g. "150+ posts"). Pull from the popular-picks page if available.
Pipeline (3 chained sub-agents)
Working directory: /tmp/ig-reddit-quote/
Sub-agent 1: Scrape Picks + Find Photos
Fetch the popular-picks page via web_fetch to get: List of attractions (names) A compelling Reddit quote for each attraction (look for vivid, specific, personal quotes โ 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 โ download candidates โ vision-score โ keep best 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-best.jpg", "slides": [ { "name": "Bar Caรฑete", "quote": "Went here on a random Tuesday and had the best patatas bravas of my life. The old guy next to me ordered for me and everything was incredible.", "subreddit": "r/barcelona", "photo": "/tmp/ig-reddit-quote/bar-canete-best.jpg", "source_url": "instagram.com/p/XXX/" } ] }
Sub-agent 2: Text Overlays
Read manifest. Create overlays using instagram-photo-text-overlay skill. Slide 1 (Cover) โ clean style: python3 /Users/psy/.openclaw/workspace/skills/instagram-photo-text-overlay/scripts/overlay.py \ --input /tmp/ig-reddit-quote/cover-best.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" Where: {COUNT} = number of attractions {CATEGORY} = category (e.g. "Cheap Eats") {DESTINATION} = destination name {N} = reddit_post_count from manifest Slides 2+ โ quote style, one per attraction: python3 /Users/psy/.openclaw/workspace/skills/instagram-photo-text-overlay/scripts/overlay.py \ --input /tmp/ig-reddit-quote/{slug}-best.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
Same as create-instagram-carousel-post Sub-agent 3: Host images in tabiji repo (img/instagram/) Create carousel item containers Create carousel container with caption Publish Cleanup hosted images + local temp files
Caption Template
{flag_emoji} Top {COUNT} {CATEGORY} in {DESTINATION} Real recommendations from {N}+ Reddit posts ๐งต ๐ Swipe for the spots + what Redditors actually said: 1. {Attraction 1} 2. {Attraction 2} ... Full list with maps, prices & more Reddit recs ๐ {POPULAR_PICKS_URL} ๐ฌ {PROVOCATIVE_QUESTION โ 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 โ "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"
Category context
Writing, remixing, publishing, visual generation, and marketing content production.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md