Skip to main content
Back to the directory
lionad-morotar/anti-render-skillSoftware EngineeringFrontend and Design

anti-render

Generate "ideal promise vs cruel reality" visual comparisons by analyzing image content across any domain.

SkillJury keeps community verdicts, source metadata, and external repository signals in separate lanes so ranking data never pretends to be a review.

SkillJury verdict
Pending

No approved reviews yet

Would recommend
Pending

Waiting on enough review volume

Install signal
1

Weekly or total install activity from catalog data

Sign in to review
0 review requests
Install command
npx skills add https://github.com/lionad-morotar/anti-render-skill --skill anti-render
SkillJury does not have enough approved reviews to publish a community verdict yet. Source metadata and repository proof are still available above.
SkillJury Signal Summary

As of Apr 30, 2026, anti-render has 1 weekly installs, 0 community reviews on SkillJury. Community votes currently stand at 0 upvotes and 0 downvotes. Source: lionad-morotar/anti-render-skill. Canonical URL: https://skills.sh/lionad-morotar/anti-render-skill/anti-render.

Security audits
Gen Agent Trust HubPASS
SocketPASS
SnykPASS
About this skill
Generate "ideal promise vs cruel reality" visual comparisons by analyzing image content across any domain. 通过并置(juxtaposition)手法,揭示任何领域中"承诺与交付之间巨大落差"的普遍困境。左侧呈现理想化的完美渲染,右侧揭示真实的日常面貌。 works well with skills: image-to-prompt , prompt-to-image 用户上传图片后,分析其当前状态: 如状态模糊,无法判断意图,主动询问用户期望方向 2.1 理想化渲染 (Ideal) 2.2 真实面貌 (Reality) 2.3 对比图 (Comparison) 基于图像内容关键词匹配: 所有领域共享以下五个核心对比维度: 如生成对比图,需根据原图宽高比 $ratio 判断新的排列规则: - Automatically detects image domain (architecture, portrait, product, food, travel, gaming, fitness, home, tech) and current state (deteriorated, ideal, or normal) - Outputs three modes: idealized rendering, realistic everyday appearance, or side-by-side comparison with automatic layout (left-right or top-bottom based on aspect ratio) - Applies five universal contrast dimensions across all domains: lighting, material, color, atmosphere, and composition/detail - Works with image-to-prompt and prompt-to-image skills for end-to-end workflow - 接收图像 → 分析内容,识别所属领域为 $domain ,计算图片宽高比为 $ratio - 状态判断 → 确定当前状态(破败/普通/理想) - 意图识别 → 根据用户指令确定输出模式 - 参数映射 → 将通用五维度映射到领域专属表达 - 构建提示词 → 构建基于领域专属表达的提示词 - 生成图像 → 生成目标图像 - 目标:输出对应领域的宣传级别完美呈现 - 特征:高饱和度、完美光影、无瑕疵、精心构图 - 目标:输出对应领域日常的真实状态(非破败) - 特征:自然光线(“死亡打光”)、真实质感、日常氛围、未经修饰 - 目标:输出理想化渲染和真实面貌并置的对比图 - 排列:根据原图宽高比自动选择左右或上下排列 - 原图横向 (宽 > 高):对比图上下排列,水平分割线 - 原图纵向 (高 > 宽):对比图左右排列,垂直分割线 - 位置:画面正中 - 宽度:2-5像素 - 颜色:纯白或极浅灰 - 边缘:锐利清晰,无羽化 - 对比图左或上(根据排列规则):理想化渲染 -...

Source description provided by the upstream listing. Community review signal and install context stay separate from this narrative layer.

Community reviews

Latest reviews

No community reviews yet. Be the first to review.

Browse this skill in context
FAQ
What does anti-render do?

Generate "ideal promise vs cruel reality" visual comparisons by analyzing image content across any domain.

Is anti-render good?

anti-render does not have approved reviews yet, so SkillJury cannot publish a community verdict.

Which AI agents support anti-render?

anti-render currently lists compatibility with Skills CLI.

Is anti-render safe to install?

anti-render has been scanned by security audit providers tracked on SkillJury. Check the security audits section on this page for detailed results from Socket.dev and Snyk.

What are alternatives to anti-render?

Skills in the same category include grimoire-morpho-blue, conversation-memory, second-brain-ingest, zai-tts.

How do I install anti-render?

Run the following command to install anti-render: npx skills add https://github.com/lionad-morotar/anti-render-skill --skill anti-render

Related skills

Alternatives in Software Engineering