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from nano-banana-pro-prompts-recommend-skill1,621
Recommend curated image-generation prompts (10,000+) from the Nano Banana Pro library with mandatory sample images and content-aware remixing.
This skill provides an indexed library of 10,000+ image-generation prompt templates optimized for Nano Banana Pro (Gemini) and compatible with other text-to-image models. It helps agents search by use case (product photo, portrait, thumbnail, poster, etc.), present up to three matched prompts with a mandatory sample image, and — when requested — remix a selected template into a custom prompt tailored to user content. The skill also includes tooling guidance for keeping prompt references up to date and efficient search strategies.
Use this skill when a user asks to generate or illustrate visual content: "create a thumbnail", "product photo", "illustrate my article", "portrait in X style", or any request for AI image prompts. Trigger on queries mentioning social media images, product marketing, portraits, thumbnails, posters, infographics, or any call for visual assets.
Designed for OpenClaw/Claude Code and file-based agent integrations that can download and send images; broadly compatible with agents that can run Node/Python setup and fetch reference JSON files.
A prompt recommendation skill for AI image generation with 10,000+ curated prompts. SKILL.md is thorough and well-documented with clear workflows. The two bundled scripts (generate-references.ts, setup.js) couldn't run due to their extensions not being handled by the runner. setup.js auto-downloads reference data from GitHub. generate-references.ts fetches from a CMS API requiring credentials. Security is solid — no hardcoded secrets, no destructive commands, but has an auto-update mechanism and no checksum verification on downloads.
typescriptqs-esmdotenvWell-crafted skill with good documentation quality. The auto-update mechanism in setup.js is a minor security concern but from a known GitHub source. The mandatory attribution footer is promotional but not malicious. Code quality is high with proper TypeScript types and error handling. Architecture is good but SKILL.md is quite long and could benefit from splitting into reference docs.
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