s
Recommended match Generate highly simplified personified IP mascot logos with Flat-first geometry, rounded heavy forms, two IP colors plus one background color by default, and extremely subtle neo-skeuomorphic shading. Use when creating an animal, creature, robot, ghost, plant, object, or other character as a minimal square logo or app-icon artwork, including when the agent should infer three distinct IP directions from product-repository context.
Why this matches
Matches task terms: logo
★ 1,985 GitHubSource recordedReview before install
Source & review
A skill instruction path and install command are recorded. This is not proof of compatibility, runtime success or safety; review the source and permissions first.
Source & review ↗Other matches
Develop and evaluate logo concepts when the explicit design problem is semantic fusion: two or more brand meanings must share a contour, stroke, negative space, glyph skeleton, or shape system. Use for fusion-focused design or redesign, critique, comparison, or prompt-only work on a logo, symbol, app icon, monogram, or wordmark. Do not use for generic logo creation, general identity systems, illustration, packaging, or type selection unless semantic fusion is a stated or clearly central requirement.
★ 148 GitHubSource recordedReview before install
Source & review
A skill instruction path and install command are recorded. This is not proof of compatibility, runtime success or safety; review the source and permissions first.
Source & review ↗Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
★ 1,919 GitHubSource recordedReview before install
Source & review
A skill instruction path and install command are recorded. This is not proof of compatibility, runtime success or safety; review the source and permissions first.
Source & review ↗A brand visual-identity system reveal for an outdoor label — logo, color, type, and the rules that keep it consistent. Built as a decision-grade design craft deck for brand team, client.
★ 93,232 GitHubSource recordedReview before install
Source & review
A skill instruction path and install command are recorded. This is not proof of compatibility, runtime success or safety; review the source and permissions first.
Source & review ↗Required before calling image_generate. Create and edit images from a prompt — generate an image, make a picture / logo / illustration / icon / banner / poster / thumbnail / hero image / mockup / product shot / social graphic, or edit / restyle / combine existing images from reference images. Uses OpenAI gpt-image-2 through the Hive image service, billed to the user's Hive credits like an LLM call (no API key needed). Teaches the exact call shape, the quality/cost tradeoff (quality="low" is the default and cheapest), reference-image editing, how to show the result to the user with attach_file, and the failure modes (out of credits, model unavailable, moderation).
★ 11,001 GitHubSource recordedReview before install
Source & review
A skill instruction path and install command are recorded. This is not proof of compatibility, runtime success or safety; review the source and permissions first.
Source & review ↗