Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Visual Prompt Engine
Generate diverse, non-repetitive image prompts powered by real visual references from Dribbble and design platforms. USE WHEN: user wants an image prompt, ne...
skill openclawclawhub Free
Generate diverse, non-repetitive image prompts powered by real visual references from Dribbble and design platforms. USE WHEN: user wants an image prompt, ne...
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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
- README.md, SKILL.md, data/references.json, data/style_cards.json, references/prompt-patterns.md, references/style-card-schema.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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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
- Abdullah4AI
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Visual Prompt Engine
Generate high-quality, diverse image prompts by feeding real visual references into a structured prompt pipeline.
Problem
AI agents reuse the same visual patterns and clichΓ©s when writing image prompts. This skill breaks that cycle by grounding prompts in real, trending design work.
Architecture
Dribbble Scraper β Style Cards β Prompt Generator β Quality Reviewer β Final Prompt
1. Collect Visual References
Recommended: Browser-based collection (Dribbble blocks automated requests) Browse https://dribbble.com/shots/popular with a browser tool (Camofox, Playwright, etc.), collect shot URLs, titles, and image URLs, then save as JSON: python3 scripts/scrape_dribbble.py --method import --import-file manual_shots.json --output data/references.json Alternative: RSS/HTML (may be blocked by WAF) python3 scripts/scrape_dribbble.py --output data/references.json --count 20 The import JSON format: [{"title": "...", "url": "https://dribbble.com/shots/...", "image_url": "..."}]
2. Build Style Cards
Convert raw references into style cards: python3 scripts/style_card.py build --input data/references.json --output data/style_cards.json
3. Generate Prompts
When the user requests an image prompt: Read data/style_cards.json for available visual references Select 1-3 cards relevant to the user's goal Read references/prompt-patterns.md for diverse prompt structures Read references/visual-vocabulary.md for precise design terminology Compose a prompt combining: user goal + style card elements + varied pattern Check against recent prompts in data/prompt_history.json to prevent repetition Append the new prompt to history
4. Review and Deliver
Before delivering, verify the prompt: Uses specific visual language (not generic adjectives) References concrete design elements from the style card Follows a pattern different from the last 5 prompts Includes composition, lighting, color palette, and mood
Style Card Schema
See references/style-card-schema.md for the full schema. A style card contains: FieldDescriptionpaletteHex colors extracted from the designcompositionLayout structure (grid, asymmetric, centered, etc.)typographyFont style and weight characteristicsmoodEmotional tone (bold, minimal, playful, etc.)texturesSurface qualities (glass, grain, matte, etc.)lightingLight direction and qualitysource_urlOriginal Dribbble shot URLtagsDesign categories
Prompt Patterns
See references/prompt-patterns.md for 12+ distinct prompt structures that prevent repetition. Rotate through patterns to keep outputs fresh.
Visual Vocabulary
See references/visual-vocabulary.md for precise design terminology covering color, composition, lighting, texture, and typography. Use these terms instead of generic words like "beautiful" or "nice".
Automation (Optional)
Set up a daily cron to refresh visual references: # Run daily to keep references current python3 scripts/scrape_dribbble.py --output data/references.json --count 20 python3 scripts/style_card.py build --input data/references.json --output data/style_cards.json
Data Directory
The skill stores working data in data/: data/ βββ references.json # Raw Dribbble scrape results βββ style_cards.json # Processed style cards βββ prompt_history.json # Generated prompts (for deduplication) Create the data/ directory on first run if it does not exist.
Dependencies
Python 3.9+ with standard library only. Optional: requests, beautifulsoup4 for live scraping (falls back to Dribbble RSS if not installed). Install optional dependencies: pip install requests beautifulsoup4
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
4 Docs2 Config
- SKILL.md
- README.md
- references/prompt-patterns.md
- references/style-card-schema.md
- data/references.json
- data/style_cards.json