# Send Visual Prompt Engine to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - 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. ## Suggested prompts ### New install ```text 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 ```text 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. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "visual-prompt-engine", "name": "Visual Prompt Engine", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/Abdullah4AI/visual-prompt-engine", "canonicalUrl": "https://clawhub.ai/Abdullah4AI/visual-prompt-engine", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/visual-prompt-engine", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=visual-prompt-engine", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "README.md", "SKILL.md", "data/references.json", "data/style_cards.json", "references/prompt-patterns.md", "references/style-card-schema.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "visual-prompt-engine", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-04T10:24:30.070Z", "expiresAt": "2026-05-11T10:24:30.070Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=visual-prompt-engine", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=visual-prompt-engine", "contentDisposition": "attachment; filename=\"visual-prompt-engine-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "visual-prompt-engine" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/visual-prompt-engine" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/visual-prompt-engine", "downloadUrl": "https://openagent3.xyz/downloads/visual-prompt-engine", "agentUrl": "https://openagent3.xyz/skills/visual-prompt-engine/agent", "manifestUrl": "https://openagent3.xyz/skills/visual-prompt-engine/agent.json", "briefUrl": "https://openagent3.xyz/skills/visual-prompt-engine/agent.md" } } ``` ## 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 clichés when writing image prompts. This skill breaks that cycle by grounding prompts in real, trending design work. ### Architecture Dribbble Scraper → Style Cards → Prompt Generator → Quality Reviewer → 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/ ├── references.json # Raw Dribbble scrape results ├── style_cards.json # Processed style cards └── 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 ## Trust - Source: tencent - Verification: Indexed source record - Publisher: Abdullah4AI - Version: 1.0.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-04T10:24:30.070Z - Expires at: 2026-05-11T10:24:30.070Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/visual-prompt-engine) - [Send to Agent page](https://openagent3.xyz/skills/visual-prompt-engine/agent) - [JSON manifest](https://openagent3.xyz/skills/visual-prompt-engine/agent.json) - [Markdown brief](https://openagent3.xyz/skills/visual-prompt-engine/agent.md) - [Download page](https://openagent3.xyz/downloads/visual-prompt-engine)