Logo Design Guide

Apply 2026's top graphic design trends to any creative brief. Based on Kittl × Savee's 2026 Design Trends Report (10 trends + 2 honorable mentions), backed by Adobe, Figma, and Pinterest data. Use when: **Designing a brand identity** — pick the right aesthetic for your audience; **Creating social media assets** — use trending visual languages that perform; **Briefing a designer or AI image tool** — give precise style direction with vocabulary and references; **Refreshing a visual identity** — know what's rising vs saturating; **Building mood boards** — combine trends intentionally with data-backed rationale.

Book cover design with genre-specific conventions, typography rules, and AI image generation. Covers fiction and non-fiction genres, sizing, thumbnail testing, and iteration workflows. Use for: self-publishing, ebook covers, print covers, audiobook covers, cover mockups. Triggers: book cover, cover design, ebook cover, book art, novel cover, self publishing cover, kindle cover, audiobook cover, book jacket, cover illustration, fiction cover, nonfiction cover

Create logos using AI image generation. Discuss style/ratio, generate variations, iterate with user feedback, crop, remove background, and export as SVG. Use when user wants to create a logo, icon, favicon, brand mark, mascot, emblem, or design a logo.

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

This skill should be used when the user asks about "text-to-image", "AI image generation", "prompt engineering", "Higgsfield", "Nano Banana Pro", "KLING", "Soul Cinema", "Seedance", "image prompts", "GPT Image", "Seedream", "FLUX", "Reve", "Higgsfield Assist", "Soul Cast", "act as a text-to-image creator", "text-to-image mode", "photorealistic generation", "character consistency", "Soul ID", "reference images", "AI art", "image prompt structure", "stylized images", "cinematic stills", "canvas workspace", "Soul Inpaint", "inpainting", or needs expertise in AI image generation workflows, prompt engineering for Higgsfield models, model selection, character sheet design, and reference-driven visual creation. Part of the AlterLab FC Skills collection (GenAI pack).

Bulk-extract every candidate flag from a binary namespace, build an extraction inventory with occurrence counts and call-type tags, cross- reference against a documented set, and track completeness across probe campaigns until the undocumented remainder reaches zero. Covers namespace prefix harvesting, gate-vs-telemetry disambiguation at the call-site level, completeness metrics, DEFAULT-TRUE population reporting, and a final completion confirmation scan. Use upstream of probe-feature-flag- state when you need a complete catalog rather than a sample, or when a prior wave-based campaign needs a verifiable end condition.