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qiaomu-codex-imagegen:用 Codex 制作封面与配图

通过 MCP 工具或命令行调用 Codex 的内置生图能力,生成或修改封面、海报与配图。Skill 先提出不同的视觉方向,再按选定方向组织提示词、出图并检查结果。

来源信息

仓库
joeseesun/qiaomu-codex-imagegen
最近来源活动
2026年10月4日 09:34
检测到的 SKILL.md 语言
英语
星标
131
分支
7

相关案例

作者的场景样例并列展示了横版与竖版视频封面:横版使用 video-cover 和 saul-bass,竖版使用 video-vertical 和 kilian-eng。README 中的品牌、活动、人物和文案均为虚构的设计示例。

用途

适合视频封面、小红书配图、产品海报、书籍或专辑封面,也可依据参考图修改画面。海报、封面或卡片需要标题、说明等文字层次;肖像和不承载信息的产品图可以不放文字。

必要前提

需要 Node.js 18 或更高版本,以及已安装并登录、具备图片生成权限的 Codex CLI。Agent 须能调用本项目的 MCP 工具或执行 CLI。仅安装 Skill 不会完成这些外部配置;按作者的安装说明准备 MCP 或命令行入口。改图或需要人物、产品一致时,准备参考图。

操作说明

  1. 提供主题、图片用途、比例、必须出现的文案及要保留的内容;有参考图时一并提供。作者给出的改图请求是:“把这张图的背景换成米色纸张,主体不变”。
  2. 默认先看至少四个视觉机制不同的方向,再选定要生成的方向;若已指定风格,可以直接按该风格继续。
  3. Agent 组织提示词并调用 Codex 生图,随后检查构图、文字、事实和主体。交付包括图片文件、像素尺寸及保存提示词的 JSON 文件。

限制

每次生成都会消耗用户的 Codex/OpenAI 账号额度,可用性取决于账号权限。中文和较长文字可能写错,交付前需要逐字检查;复杂图表和长文案更适合后续排版。尺寸由 Codex 的生图工具决定,结果需要核对实际像素。它不用于视频制作、UI 原型或从数据生成图表。

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

正在显示 SKILL.md

SKILL.md
来源说明 · 只读预览
name
qiaomu-codex-imagegen
description
Generate or edit images with Codex's built-in image generation from any agent, through an MCP tool or a plain CLI. For every image request it first proposes at least four divergent style directions (24 distilled templates, 48 presets, 20 Mondo poster artists), lets the user pick, expands the prompt, generates, and checks the result. Scenario craft for 视频封面, 视频海报, 小红书配图, 公众号封面, X 封面, 朋友圈海报, 书籍封面, 专辑封面, 产品海报, 人物写真, 节气海报, 展览海报, PPT 页面, 图生图. Use for 生图, 配图, 海报, 封面, "给我几个风格", "用 Codex 画一张". Excludes: editing photos with local tools, charts or diagrams from data, UI mockups, video generation, or anything that needs an API key-based image service.
license
MIT
metadata
{"version":"0.3.0","author":"向阳乔木 (https://x.com/vista8)"}
# Qiaomu Codex ImageGen Codex ships an image generator that other agents cannot call. This package relays to it (`codex app-server`) and adds the craft that makes the pictures usable: a library of 24 templates (48 presets) distilled from 689 reference prompts, Mondo poster techniques, scenario presets, and a rule set for facts, text and identity. ## How to call it 1. **MCP tools present** (`suggest_directions`, `compose_prompt`, `generate_image`, `search_prompts`, `get_prompt`, `build_prompt`, `list_catalog`; in Claude Code `mcp__qiaomu-codex-imagegen__*`): use them. 2. **No MCP**: run the CLI from this skill's folder: `node scripts/cli.mjs suggest|compose|generate|search|prompt|list` (see `--help`). 3. Neither available: tell the user to install (README). Requires the Codex CLI, logged in. Never fake an image with code. ## The workflow: suggest, choose, compose, generate, check ### 1. Intake (no tool call yet) Extract: **topic**, **deliverable** (what it is for), ratio, **text mode**, facts that must be exact, references and the role of each (`identity` person, `product` real packaging, `style`, `layout`), must-keep, must-avoid. - Text mode: `none` (no text), `exact_short` (only the short text you list), `typeset_later` (text-free base with room for the title). - **Posters, covers, cards and slides need a typographic layer.** A finished poster has a hierarchy: headline, subtitle, one or two info lines, a small tag. With only a headline, or none, the result is concept art, not a poster. So for these deliverables use `exact_short` and give a complete short copy set: `headline` plus `copy` as lines separated by `|`. Take the lines from the user's facts. If they gave none, ask, or write clearly fictional sample lines and say so; never invent real prices, dates of real events, names, statistics. - `none` fits portraits and photos (T09–T11), product macros that carry no information, and base images the user will typeset. Keep every string short and read the result: models misspell, especially long Chinese. - Ask only blocking questions, at most three: a missing subject, a real person's identity reference, or facts that must appear. Fill low-risk gaps with a stated default. ### 2. Suggest at least four divergent directions Call `suggest_directions` with the topic, deliverable and any headline/text mode. It returns **four or more directions with different visual mechanisms** (typography-led, graphic structure, photographic, product macro, material/space, plus a Mondo artist option for poster-like work). Never mix two mechanisms into one image. Present them to the user briefly, one numbered item each: - name and template id, - **one concrete sentence of what this topic would look like in that mechanism** (write it yourself from `mechanism` and the topic, not a copy of the lock text), - what you still need from them (subject, data, reference photo), - look at one `references[].image` thumbnail per direction when available, so your sentence matches the real look. Then ask which to make: one, several, "all", or "你定". Offer to exclude these and propose more (`exclude`). **Skip the question** when the user already fixed the style ("用 Mondo 风格", "T03", "就这个风格") or said to go ahead ("直接出", "你定"). For "你定", pick the two best-fitting directions from different families and say which and why. ### 3. Compose the prompt For each chosen template direction call `compose_prompt` with concrete variables: - Map the topic to **one visible silhouette, action or relation**, and say how it connects to the topic. At most one main symbol and one cross-over action. - Colours are **roles** (background, primary, accent, ink), not fixed hex values. Material belongs where the preset puts it; do not overlay noise on everything. - No invented facts: prices, statistics, titles, names, dates, weather, quotes, QR codes, logos. - `missing_required` non-empty → ask for exactly that. `weak_variables` → they still hold generic defaults, fill them first. - Preset with `structural_override` → rewrite the prompt by hand: delete the base sentences the override replaces, keep no conflicting structure, then send the result as `raw_prompt` with the `避免:…` line. - Typographic templates with no text: tell the user the base image only satisfies the style after the title is typeset. - Give `copy` as `|`-separated lines; when strings include dates or numbers, list them all so the whitelist matches exactly (or pass a full `text_rule`). Mondo directions skip this step: `generate_image { prompt, style: <artist>, preset: <video-cover|poster|…> }`. Full rules and the canonical agent instruction: [references/design-system/agent-guide.md](references/design-system/agent-guide.md). ### 4. Generate Default **one image per chosen direction**, up to four, each its own `generate_image` call (they can run in parallel). Use `count` only for variants of the same direction. Say that it takes 30–180 s and spends Codex quota. `out_dir` goes inside the user's project when they name one; `reference_images` take absolute paths (identity photo, product shot, style reference, or the image to edit). Series: lock template, type hierarchy, colour roles, texture placement and cross-over action; change one or two of scene, narrative focus, hue, module span. Pass the first image as `reference_images` for the rest. ### 5. Check and deliver Read each saved image and test it against `acceptance_checks` (the tool prints them): first-glance focus, relations that must hold, materials only where intended, exact text and identity, nothing invented. State pass or the specific failed relation. **With the local corpus pack installed, compare against the references:** put the result next to one or two `references[].image` of the same template (`suggest_directions` lists them). If yours is plainly less designed (bare subject, no typographic hierarchy, no secondary layer), that is a failure too: complete the copy set or the missing layer and regenerate once. On failure change only the sentence that carries that relation and regenerate once; do not stack "more premium" adjectives. Transparent regions in a result are flattened onto white automatically (`transparent_background: true` keeps them). Deliver absolute paths, the direction used, and the sidecar `.json` (exact prompt) next to each image. Only say "generated" for images you actually produced and looked at. ## Rules - Each generation spends the user's quota: no test generations, `count` above 3 only if asked. - People: prefer silhouettes, back views, hands or symbols unless a face is asked for. Identity consistency needs an identity reference photo; without one say the person is fictional. Never make deceptive material with a real person's likeness. - Facts and numbers come only from the user; complex charts and long copy are typeset afterwards, not drawn by the model. - Reference corpus: `search_prompts` / `get_prompt` read the local pack of 689 reference prompts (installed on the user's machine only). Use them to study how a mechanism is described; never send a corpus prompt unchanged as the user's prompt. - Simple route: `prompt` + `preset` + `style` (66 styles, 20 Mondo artists) when the user wants a quick image without the direction step. ## Output contract Reply with: absolute path(s), pixel size, direction (template/preset or Mondo artist) per image, assumptions made, acceptance result, and where the prompt sidecar is. On failure give the tool's error and the one fix to try (Codex login, shorten the prompt, check the reference path). ## Resources - [Agent guide](references/design-system/agent-guide.md): the rule set, input/output shapes, routing table - [Template library](references/design-system/template-library.md): 24 templates, locks, presets, evidence; machine-readable `templates.json`, `routing.json`; [filled examples](references/design-system/filled-examples.md) - [Scenarios](references/scenarios.md): ratios and safe areas per platform; [prompt craft](references/prompt-craft.md); [Mondo poster craft](references/mondo-poster.md) with [artist styles](references/mondo/artist-styles.md) - `references/styles.json` (66 styles), `mondo-artists.json` (20), `presets.json` (13 scenarios) Copyright (c) 向阳乔木. X https://x.com/vista8, GitHub https://github.com/joeseesun/. Template library distilled from public-area samples of https://vip.xiaoxiaodong.ai/open-source; Mondo material from [qiaomu-mondo-poster-design](https://github.com/joeseesun/qiaomu-mondo-poster-design) (MIT).
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