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Found 124 Skills
Use when another skill needs to resolve an image source into a Sivi media ID (mId) or media URL. Handles 4 input sources — local file upload, direct image URL, product/webpage URL auto-pick, and AI generation — and returns a unified result (mId + mediaUrl). This is a utility skill referenced by composite skills (generate-design, create-a-plus-content, etc.) to avoid duplicating media handling scripts. For brand-scoped asset management with folder saving, see brand-assets. For standalone AI image generation/enhancement, see enhance-media.
Use to write a carousel — a swipeable multi-slide post (Instagram carousel, LinkedIn document/PDF carousel, or TikTok photo carousel) — one of the highest-save, highest-dwell formats. Run when the user says "write a carousel," "carousel post," "slides for X," "LinkedIn document/PDF post," "swipe post," "turn this into a carousel," or wants multi-slide teaching or story content. Reads brand-profile and voice first; the cover slide hooks and promises the swipe (via hook-writer); each slide advances one idea and earns the next swipe; ends on a save-leaning CTA. Specifies the design direction and bundles an image-generation prompt pack (Nano Banana / Ideogram) for the slide visuals. Hands the caption to caption-writer and scheduling to scheduling-and-queue.
Integrate FASHN generative image & video models for fashion into a project, or run it inline. Use for virtual try-on, product-to-model, model create/swap, face-to-model, edit, reframe, background removal, and image-to-video, via the FASHN REST API, the TypeScript SDK (fashn npm), or the Python SDK (fashn pip).
Novel Cover Generation. Automatically analyze the genre and style based on the book title and author name, call GPT-Image-2 to generate a professional web novel cover with title and signature; Codex CLI prioritizes using the built-in ImageGen, no separate API Key required. Trigger methods: /story-cover, /封面, "Help me make a cover", "Generate cover image", "Make a novel cover", "Cover design"
Generate Dreamina-compatible prompts from music analysis — per-section visual descriptions
Generate, revise, translate, and manage App Store / Google Play marketing screenshots. Full flow: initialize a .shots workspace, scrape App Store metadata, research the product from the repo and listing, identify theme, colors, audience, and competitor space, save a strategy brief, craft benefit-driven headlines, and generate 3-up GPT-Image 2 composites via OpenAI direct or fal.ai before cropping them into upload-ready panels. Supports iPhone, iPad, and Android Phone platforms. Triggers: "app store screenshots", "marketing screenshots", "store listing images", "screenshot generation", "app store assets", "google play screenshots", "shots", ".shots", "revise shots", "change screenshots", "fix panels", "redo screenshots", "translate screenshots", "localize", "scrape app store", "fetch metadata", "import app store". Do NOT use for general image generation, social media graphics, or non-store marketing assets.
Generate images from text prompts using Google Nano Banana (Gemini image generation) via eng0 data API. Use when user asks to generate, create, or make images, pictures, illustrations, or artwork from descriptions. Triggers include "generate image", "create image", "make a picture", "draw", "illustrate", "image of", "picture of", "nano banana". Do NOT use for image editing or manipulation of existing images.
Turn a visual idea into a production-ready prompt and API settings for OpenAI GPT Image models (gpt-image-2).
Plan, prompt, iterate, edit, migrate, and quality-check still-image work made with Midjourney's documented website and Discord interfaces. Use for Midjourney model and parameter selection, image/style/Omni references, Draft or Conversational workflows, typography-aware production, privacy and rights review, or troubleshooting a Midjourney image pipeline; do not use it to invent or automate an unsupported Midjourney API.
Insert AI-generated illustrations into documents in-place. After reading the document, globally plan insertion points, generate all images in parallel, and insert them back into the original document asynchronously. Supports cover images, custom aspect ratios, and three styles. Use when: Users request to generate illustrations for documents/articles/notes. Also trigger when user mentions: illustrations, generate images, document images, add images to articles.
Use to write great prompts for Ideogram (Ideogram 4.0) to generate design-grade images for social media — the image-prompt-craft mini-skill for typography + layout, sibling to nano-banana under the image-prompt router. Run when the user wants an Ideogram / AI image prompt where TEXT and LAYOUT matter: quote cards, carousel covers, posters, logos/wordmark concepts, signage, ads with headlines, or any image that must say words correctly. Reads brand-profile for style/palette. Ideogram's standouts: best-in-class in-image text rendering, structured JSON prompting (bounding boxes, hex palettes), native 2K, transparency, and Layerize Text. Also covers the Ideogram app-editor workflow (Canvas, Magic Fill, Extend, Style References). Honest: review rendered text, disclose AI images and sign with C2PA, never generate real identifiable people or copyrighted characters/IP/logos. The API/connection and the generate -> upload to WoopSocial Media -> attach flow live in tools/integrations/ideogram.md.
WeWrite Visual Module: Generates cover images and necessary in-article illustrations for WeChat Official Account articles, or delivers only prompts. Trigger phrases: Cover image, WeChat Official Account illustration, add illustrations to article, change cover. General drawing and logo design do not trigger this module.