[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-95012":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":9,"languages":9,"totalLinesOfCode":9,"stars":10,"forks":11,"watchers":12,"openIssues":13,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":15,"stars7d":16,"stars30d":16,"stars90d":14,"forks30d":14,"starsTrendScore":17,"compositeScore":18,"rankGlobal":9,"rankLanguage":9,"license":19,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":22,"hasPages":20,"topics":23,"createdAt":9,"pushedAt":9,"updatedAt":29,"readmeContent":30,"aiSummary":31,"trendingCount":14,"starSnapshotCount":14,"syncStatus":32,"lastSyncTime":33,"discoverSource":34},95012,"ip-as-logo-skill","s1dashu\u002Fip-as-logo-skill","s1dashu","A compact Agent Skill for highly simplified, rounded, subtly neo-skeuomorphic IP mascot logos.",null,3887,190,1,3,0,177,924,1278,108.83,"MIT License",false,"main",true,[24,25,26,27,28],"codex","codex-skill","image-generation","logo-design","mascot-design","2026-08-24 04:01:23","# IP as Logo\n\n`ip-as-logo` is a compact Agent Skill for generating extremely simple, cute, company-ready IP mascots. It prioritizes lovable character appeal, bold rounded silhouettes, strict complexity limits, a dominant lower-corner composition, and a solid named background color.\n\nIt follows the open Agent Skills format and is designed to work with any compatible AI agent, rather than being tied to a specific agent product.\n\nYou can also browse the free [IP as Logo Skill website](https:\u002F\u002Fipaslogo.com), a searchable library backed by Cloudflare R2 and Supabase.\n\n![IP as Logo showcase](assets\u002Fip-as-logo-wall.webp)\n\n**Don't have Codex, Doubao, Coze, or Workbuddy?** [Visit our website](https:\u002F\u002Fipaslogo.com) to download ready-made logos for free. Every logo is free for commercial use.\n\n## What it guides\n\n- One dominant silhouette built from roughly 4–7 large basic shapes\n- Three semantic colors by default: two IP base colors plus one background color\n- Three proposed directions followed by six independently generated candidates after user approval\n- Familiar, broadly appealing animals as the default open-ended subject; objects, machines, fantasy artifacts, and obscure creatures require a clear product reason\n- Context-aware, clearly separated subject colors and gently muted, slightly lower-saturation backgrounds with barely-there neo-skeuomorphic depth, described without percentages or prescribed gradient and shading formulas\n- Thick, rounded forms without sharp or fragile details\n- A large, visually dominant IP emerging flexibly from the lower-left or lower-right, without prescribing a fixed crop\n- A balanced default six-image split: three lower-left and three lower-right\n- Extreme simplification, cute baby-like appeal, and removal of nonessential lines and details\n- One named solid background color filling the square, without image-mode language in the generation prompt\n- Image-only generation prompts that never reveal logo, brand-mark, app-icon, or icon-asset use\n- One-pass batch generation that preserves and delivers every returned image without filtering or automatic retries\n\n## Install\n\nInstall the complete skill with the Agent Skills CLI:\n\n```bash\nnpx skills@latest add s1dashu\u002Fip-as-logo-skill\n```\n\nThe installer detects the repository's root `SKILL.md`, lets you choose a supported coding agent, and installs the complete `ip-as-logo` directory, including its supporting assets. Use `--global` for a personal installation available across projects:\n\n```bash\nnpx skills@latest add s1dashu\u002Fip-as-logo-skill --global\n```\n\n## Agent compatibility\n\nSupported agents include **Codex, Coze, Doubao, YouMind, Manus, Gemini Apps, and Replit Agent**. This skill only supports agents with built-in image-generation capabilities that can return generated images as assets.\n\n## Use\n\nAsk your AI agent for an IP mascot image, for example:\n\n```text\nCreate a very simple, cute rounded ghost IP character on a solid deep navy background.\n```\n\nThe skill does not ask for a color-mode choice by default. Every default candidate uses three semantic colors: two IP base colors plus one background color. It no longer reserves any fraction of the candidate set for two-color images. A two-color image is generated only when the user explicitly requests it, and then uses background-colored negative space for facial marks rather than introducing a third color.\n\nWhen the user already names an IP subject, the skill proposes three controlled design treatments of that subject. When the subject is open, it proposes familiar animal mascots first and ties each to a product attribute or brand promise. In open-ended batches, 95–100% of candidates should be familiar animals; non-animal subjects are limited to a small minority with a direct product connection, never used merely to manufacture novelty.\n\nLarge batches create variety within commercially plausible animal mascots through species or breed, ear and muzzle proportions, expression, lower-left versus lower-right emergence, crop, silhouette, and secondary color organization. Clocks, locks, industrial tools, measuring instruments, vehicles, abstract machines, fantasy artifacts, and obscure creatures are not default company mascots.\n\nIf the skill runs inside a product repository, it inspects relevant read-only context before asking questions. If product context is insufficient, it asks one consolidated round of background questions. Once context is sufficient, it always presents three concise directions and proposes generating six independent images. It proceeds after the user agrees, or immediately when the user has already explicitly authorized six outputs.\n\nWhen the user accepts all three directions, the default batch contains two variants per direction: `A1`, `A2`, `B1`, `B2`, `C1`, and `C2`. The first variant of each direction emerges from the lower-left and the second from the lower-right. When the user selects one direction, odd-numbered variants use the lower-left and even-numbered variants use the lower-right. This guarantees a three-left, three-right default split. If the user rejects the proposed quantity or distribution, their replacement instructions take precedence.\n\nEvery default candidate emerges from the lower-left or lower-right rather than the center or bottom-center and fills roughly 85–95% of the square so the IP remains visually dominant. Bottom or side cropping may strengthen the corner emergence, but the Skill does not prescribe exact edge contact or a fixed crop.\n\nCompatible agents may generate the six candidates in parallel with subagents up to the runtime's available concurrency, using additional waves when needed. Codex can use ImageGen when available; other agent environments may use any configured image generator. If no generator is available, the skill asks the user to provide or enable one instead of pretending that an image was generated. Every result is a separate full-resolution square asset, never a six-image contact sheet.\n\nWhen the user does not supply a palette, the skill gently lowers background saturation so the result feels a little more muted and controlled while remaining clearly chromatic, clean, and intentional rather than vivid, gray, or muddy. It keeps the normal design to exactly three semantic colors: two IP base colors plus the background. The generation prompt names the intended solid background color directly and avoids terms such as `opaque`, `alpha`, or `transparency` that may distract the image model from the desired visual result.\n\nAlthough the project is named `ip-as-logo`, the prompt sent to the image generator describes only the requested square character image. It never calls the result a logo, brand mark, app icon, or icon asset, and it does not prepend use-case metadata that reveals those purposes.\n\nGeneration is intentionally treated as a creative draw. Each requested candidate is generated once and delivered as returned. The skill does not inspect transparency, block outputs, classify candidates as compliant or non-compliant, or automatically retry results because of their background, colors, composition, gradients, shading, or dimensionality. Users can explicitly request another draw or a refinement after reviewing the batch.\n\n## Repository structure\n\n```text\nSKILL.md\nassets\u002Fip-as-logo-wall.webp\nREADME.md\nLICENSE\n```\n\nThe skill itself intentionally consists of a single instruction document. The repository also includes the showcase image above, but no scripts, style references, or generation dependencies.\n\n## Model behavior\n\nImage-generation models are stochastic and may interpret individual constraints differently. The skill preserves and returns every result without validation gates, transparency checks, automatic rejection, automatic retry, or silent repair.\n\n## License\n\nMIT\n","这是一个专为AI代理设计的轻量级技能插件，用于生成极简、圆润、具有新拟物风格的IP形象徽标。核心功能包括：严格限制图形复杂度（仅4–7个基础形状）、固定下角构图、三色语义配色（两主色+一纯色背景）、批量生成6张候选图（3左3右），并确保所有输出为免版权商用的图像资产。技术上采用开放Agent Skills标准，兼容Codex、Coze、Doubao等支持图像生成的AI代理平台，也可通过独立网站直接下载使用。适用于初创品牌、小程序图标、App启动页、数字产品IP孵化等需快速获得可爱、易识别、低复杂度角色形象的轻量级视觉设计场景。",2,"2026-08-20 02:30:03","CREATED_QUERY"]