Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Generates image prompts grounded in real Dribbble design references rather than internal AI patterns. A scraping pipeline converts trending shots into style cards with palette, composition, mood, and lighting data. Prompt history is tracked to prevent the same structures from repeating.
Grounds prompts in real, trending design work rather than the model's internal pattern library, which tends to recycle the same visual vocabulary.
When to use it
- Getting a fresh image prompt without recycling the same visual clichés
- Generating UI illustration prompts based on current design trends
- Creating diverse prompts for a batch of product renders
- Building mood board descriptions from trending Dribbble references
- Exploring visual directions for a brand identity concept
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Give me a unique image prompt for a minimal tech product shot
- 1Read style_cards.json to find cards matching a minimal, tech-oriented aesthetic
- 2Select 1-2 style cards and extract palette, composition, and lighting values
- 3Check prompt_history.json to identify structures used in the last 5 prompts
- 4Compose a new prompt using an unused pattern from prompt-patterns.md combined with the style card data
- 5Append the prompt to history and return it
A specific image prompt with hex color references, a named composition structure, lighting direction, and mood terms drawn from a real Dribbble shot
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.