GC Minimal Zine Poster v0.3
一个 Codex Skill,将主题、句子、照片或参考集转换为安静的极简 zine 风格社论海报图像与提示词。
社区作者 · Aitroys 管理员
它解决什么问题
GC Minimal Zine Poster v0.3 是一个 Codex Skill,用于将主题、句子、文章想法、对象、情绪、照片或参考集转换为稀疏纸张纹理的社论海报、生产就绪的图像提示词或可复用的视觉系统。可调用的 Skill 名称为 $gc-minimal-zine-poster-v0-3。
主要功能:
- 提供 Generate、Photo Input、Reference Analysis、Prompt-only、Analyze + Generate 五种路由。
- Photo Input 子流程会将每个提供的图像分类为编辑目标、参考图像或辅助插入,并记录所需的保留级别。
- 基于证据的参考分析,区分固定系统规则、可变规则和来源特定残留。
- 更强的批次变体,覆盖布局、锚点形式、排版分布、纹理、装饰、情绪和颜色。
- 模块化提示词编译和质量门控,见 references/ 目录。
视觉方向:
- 默认 3:5 老化纸张画布
- 70%-90% 负空间
- 一个小的图像主体或视觉事件
- 衬线、打字机、等宽或克制的小型无衬线字体
- 一个清晰可见的高饱和度颜色锚点
- xerox,
— 本文由 AI 根据公开来源辅助整理,命令、版本与许可证请在使用前到原始页面复核。
安装 / 开始使用
Requirements
The Skill package contains no scripts, external fonts, API keys, private paths, or downloaded runtime assets. Image-generation quality and photo preservation still depend on the model available in the host environment. Installation Clone the current v0.
3 release into a matching Skill directory:
- Codex or another compatible Skill runtime.
- Image inspection for reference analysis and quality review.
- Built-in image generation for Generate and Analyze + Generate modes.
git clone https://github.com/LiamGvchi/gc-minimal-zine-poster.git \~ /.codex/skills/gc-minimal-zine-poster-v0-3 Restart Codex if the Skill does not appear immediately. Upgrading from v0.1 Do not pull v0.3 into an existing ~/.codex/skills/gc-minimal-zine-poster-v0-1 directory.
The folder name and the Skill frontmatter name must stay aligned. Install v0.3 beside the old copy using the command above. After confirming v0.3 works, you may keep or remove the old directory yourself. To install the preserved v0.1 release:
git clone --branch v0.1.0 \https://github.com/LiamGvchi/gc-minimal-zine-poster.git \ ~ /.codex/skills/gc-minimal-zine-poster-v0-1 Usage Generate a poster: Use $gc-minimal-zine-poster-v0-3 to make a poster about a rainy secondhand bookstore.
Analyze references without generating: Use $gc-minimal-zine-poster-v0-3 to analyze this image folder, separate fixed and variable rules, and return a reusable prompt without copying the source text.
Use a supplied photograph as an edit target: Use $gc-minimal-zine-poster-v0-3 to turn this portrait into a poster. Preserve the person's identity and clothing; change only the layout and paper treatment.
Request prompt-only output: Use $gc-minimal-zine-poster-v0-3 to return only the final image-generation prompt for an old bookstore closing at night. Request Modes
Output Generation requests return:
Reference-analysis requests return the evidence-based visual system and reusable prompt without generating an image unless generation was also requested. Repository Structure
License MIT. See LICENSE .
- Generate: content → visual metaphor → prompt → generated raster → inspection.
- Photo Input: assign image roles and preservation levels, pass the actual target image into generation, and inspect source preservation.
- Reference Analysis: inspect real files and return observed evidence, fixed rules, variable rules, sample residue, a reusable prompt, and limitations.
- Prompt-only: return a final four-paragraph prompt and recipe without claiming an image was generated.
- Analyze + Generate: extract a visual system first, then generate a new composition without copying a source layout.
- the generated raster poster
- the final image-generation prompt
- the selected recipe
- a short interpretation note
- photo role and preservation details when a photograph is supplied
- SKILL.md : request routing and execution workflow
- references/style-system.md : fixed identity, variables, color, subject logic, and anti-identity
- references/prompt-compiler.md : prompt field order and four-paragraph compiler
- references/variation-engine.md : layout and variation recipes
- references/reference-analysis.md : evidence and synthesis protocol
- references/quality-gate.md : generation, reference-analysis, and prompt-only checks
- agents/openai.yaml : Codex UI metadata
- evals/evals.json : reusable evaluation prompts
- examples/ : six author-created poster examples
- LICENSE : MIT license
适用场景
Skill 讨论与实践反馈
0还没有讨论
分享一条可复现的补充、问题或使用经验。