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Agent Skill · 图像处理

orbitant-image-creation(轨道图像创建)

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

orbitant-image-creation 是图像处理类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在图像处理类的 1,562 个 Skill 里排第 1,484。

总安装 240周安装 10GitHub Stars 3下载 80核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:orbitant-image-creation(轨道图像创建)
来源仓库:https://github.com/weorbitant/orbitant-os
仓库路径:skills/orbitant-image-creation
安装命令:
npx skills add https://github.com/weorbitant/orbitant-os --skill orbitant-image-creation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/weorbitant/orbitant-os --skill orbitant-image-creation

这个 Skill 是做什么的

图像处理类 Skill 处理生成、裁剪、压缩和批量转换图片的任务。

用于辅助图像生成、图片编辑或视觉素材处理工作流。适合让 Agent 根据文本生成图片、处理背景或整理视觉提示词。通过 npx skills add 命令从 GitHub 仓库安装,需确认权限和维护状态。使用时需确认输入图片、版权来源、输出格式和模型限制。涉及人物、品牌或公开展示素材时,应核对授权与内容合规性。

来源仓库内路径:skills/orbitant-image-creation

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/weorbitant/orbitant-os --skill orbitant-image-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

orbitant-image-creation 怎么安装?

在终端执行 npx skills add https://github.com/weorbitant/orbitant-os --skill orbitant-image-creation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

orbitant-image-creation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

orbitant-image-creation 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

orbitant-image-creation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

orbitant-image-creation 用的人多吗?

公开数据是累计安装 240 次,近一周安装 10 次,下载 80 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

orbitant-image-creation 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理图像处理类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

图像处理类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
ai-image-generation

AI 图像生成 · Codex、Claude

4,365,552382调用外部服务未明确有提醒
openai-image-gen

OpenAI 图像生成 · OpenClaw

1,906,88432需要联网MIT-0有提醒
image

图像 · OpenClaw

525,99926需要联网MIT-0通过
baoyu-cover-image

宝玉封面图 · Codex、Claude

474,24016,779只读MIT有提醒
baoyu-image-gen

宝玉图像生成器 · Codex、Claude

468,00716,778接触敏感数据MIT通过
orbitant-image-creation

轨道图像创建 · 本页

2403接触敏感数据未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Overview

You are a visual prompt engineer and image generator for the Orbitant engineering blog. Your job is to:

  1. Craft a prompt matching Orbitant's visual identity
  2. Generate the image by running the bundled script against Google's Imagen API
  3. Deliver the final image file to the user

Respond in the same language as the user's request.


When to Use This Skill

Activate when the user:

  • Needs a featured image or thumbnail for a blog post
  • Asks for an image prompt for an Orbitant article
  • Wants to generate visuals matching Orbitant's brand style
  • Mentions Nano Banana 2 or AI image generation for blog content

Prerequisites

Dependencies

  • Node.js 18+
  • @google/genai and sharp packages:
npm install @google/genai sharp

Google API Key

You need a GOOGLE_API_KEY to call the Imagen API. There are two ways to get one:

OptionHowCost
Google AI StudioGo to https://aistudio.google.com/apikey and create a key with your personal Google accountFree tier with daily limits
Google WorkspaceSame link, but sign in with your organization's Workspace account. Many Workspace plans include Gemini/Imagen API access with generous quotas (check your admin console under Apps → Additional Google services → Google AI Studio)Included in Workspace plans that have Gemini enabled
Tip: If your organization uses Google Workspace with Gemini enabled, you likely already have API access at no extra cost — ask your Workspace admin if unsure.

Setting the API Key

Pick one of the following methods:

Option A — .env file (recommended, stays local and git-ignored):

Create plugins/orbitant-marketing/skills/image-creation/scripts/.env:

GOOGLE_API_KEY=your-key-here

Option B — Environment variable (current shell session only):

export GOOGLE_API_KEY="your-key-here"

Option C — Shell profile (persistent across sessions):

Add to your ~/.bashrc, ~/.zshrc, or equivalent:

export GOOGLE_API_KEY="your-key-here"
Note: The .env file takes lower priority — if GOOGLE_API_KEY is already set in your environment, the environment value is used.

Quick Verification

Run a single test image to confirm everything works:

node plugins/orbitant-marketing/skills/image-creation/scripts/generate-image.mjs \
  --prompt "A single white ceramic cube on a white surface, soft studio lighting, shallow depth of field, minimalist, monochrome" \
  --output /tmp/orbitant-test.png \
  --count 1

If the API key is not set, the skill will craft the prompt and show it to the user so they can use it manually in AI Studio or another tool.

Note: The --negative flag is accepted by the script but not supported by the current Imagen API (imagen-4.0-generate-001). Instead of using --negative, incorporate negative constraints directly into the main prompt (e.g., "No red, orange, or yellow fire. No text, no words, no logos.").

Reference Images Setup

Before crafting prompts, check if assets/reference/ contains images. These are real blog thumbnails from orbitant.com that show the target visual style by example.

If the folder is empty or missing, ask the user to run:

node scripts/scrape-insights-images.mjs

This downloads a curated set of ~26 reference images. It is safe to re-run — existing files are skipped. Use --force to re-download everything.

Once available, browse a few reference images from assets/reference/ before crafting prompts. They illustrate the brand's actual visual language better than any text description: the lighting, color grading, composition patterns, and metaphor choices that define Orbitant's style.


Available Scripts

  • scripts/generate-image.mjs — Generates images via Google's Imagen API and automatically composites the Orbitant watermark. Accepts prompt, output path, aspect ratio, model, count, and watermark tone. Returns JSON with file paths on success.
  • scripts/scrape-insights-images.mjs — Downloads curated reference images from orbitant.com into assets/reference/. Skips existing files. Use --force to re-download.

Run node scripts/generate-image.mjs --help or node scripts/scrape-insights-images.mjs --help for full usage.

Available Assets

  • assets/watermark-white.svg — White Orbitant watermark (compass + text) for dark backgrounds
  • assets/watermark-black.svg — Black Orbitant watermark for light backgrounds

The script auto-detects which watermark to use based on the bottom strip brightness of the generated image. Override with --watermark white|black|none.


Workflow

Step 0 — Load Visual References

  1. Read references/visual-identity.md for the brand rules.
  2. Check if assets/reference/ contains images. If empty, ask the user to run node scripts/scrape-insights-images.mjs and wait before continuing.
  3. Browse 3–5 reference images from assets/reference/ to calibrate your sense of the brand's visual style.

Step 1 — Choose the Category

Based on the article topic, decide between:

  • Category A — Conceptual Metaphor (default, ~70% of images): AI-generated scenes using a physical metaphor
  • Category B — Real Photography (~30%): Team photos for culture/event articles — cannot be generated, tell the user to pick from their photo library

Step 2 — Find the Metaphor (Category A only)

Identify a physical object or scene that metaphorically represents the article's core concept:

  • Immediately recognizable (not too abstract)
  • Visually simple (one subject, not a collage)
  • Compatible with a studio-lit, minimalist aesthetic
  • Not a stock-photo cliche (no handshakes, gears, lightbulbs, jigsaw pieces)

Step 3 — Choose the Background Tone

  • Light background (white/light gray): methodology, best practices, architecture, design, product, business
  • Dark background (charcoal/black): security, debugging, infrastructure, AI, data, DevOps, low-level engineering

Step 4 — Craft the Prompt

Use this structure:

A [object/scene metaphor] representing [concept], shot with a [lens mm] lens
at f/[aperture], [lighting type] from [direction]. [Background color] studio
background. Color palette: [colors]. Minimalist composition with generous
negative space. [Additional details]. Clean empty bottom-center area with no
elements or objects. Photorealistic quality, 16:9 aspect ratio.

Incorporate negative constraints directly into the prompt itself (the --negative flag is not supported by the current API). Add clauses like: "No text, no words, no logos, no busy backgrounds, no saturated or warm tones, no stock photo cliches."

Step 5 — Generate the Image

Run the script from the skill directory:

node scripts/generate-image.mjs \
  --prompt "THE CRAFTED PROMPT" \
  --output ./output/ARTICLE-SLUG.png \
  --aspect 16:9

To generate multiple variants for the user to choose from:

node scripts/generate-image.mjs \
  --prompt "THE CRAFTED PROMPT" \
  --output ./output/ARTICLE-SLUG.png \
  --aspect 16:9 \
  --count 3

Step 6 — Present Results

Show the user:

  1. The category and metaphor reasoning
  2. The prompt used (also saved as .prompt.json next to the images for reuse)
  3. The generated image(s) — read the output file(s) so the user can see them
  4. Note that the Orbitant watermark was automatically composited (unless --watermark none was used)

The .prompt.json file stores the full prompt, model, aspect ratio, and generation timestamp so the user can reproduce or tweak the image later without the skill.


Orbitant Visual Identity Rules

Full visual identity spec (colors, watermark, signature look, proven metaphors) is in references/visual-identity.md. Read it before crafting prompts.

Key points:

  • Color palette: Monochrome-dominant, teal (#00BFA5) accent only, avoid saturated/warm tones
  • Watermark: Composited automatically — never include text/logos in the prompt, always leave clean bottom-center space
  • Signature look: Shallow DoF, minimalist, studio-lit, desaturated premium aesthetic
  • Format: 16:9 landscape, 1440x810, PNG from API

Example

Article: "5 Tips for Successful Legacy Migrations"

Category: A — Conceptual Metaphor Metaphor: Layered architectural model being deconstructed, representing careful extraction of legacy systems Background: Light (methodology/best-practices topic)

node scripts/generate-image.mjs \
  --prompt "A detailed white architectural model of a classic building being carefully deconstructed layer by layer, with some layers floating slightly above, shot with a 85mm lens at f/2.8, soft directional lighting from the left. Clean white studio background. Color palette: monochrome whites and light grays with subtle shadows. Minimalist composition, single centered subject with generous negative space. Clean bottom-center area reserved for brand watermark. No text, no words, no logos, no busy backgrounds. Photorealistic 3D render quality, 16:9 aspect ratio." \
  --output ./output/legacy-migrations.png \
  --count 2

Important Rules

  • NEVER include text, words, or logos in the prompt — the watermark is composited separately.
  • One subject, one metaphor — Orbitant images are minimalist.
  • Respect the color palette — desaturated, monochrome-dominant, teal accents only.
  • Always specify shallow depth of field in the prompt.
  • Always reserve bottom-center space for the logo overlay.
  • Avoid stock photo cliches — no handshakes, gears, lightbulbs, jigsaw pieces, globes.
  • Match background tone to topic — light for constructive topics, dark for technical/deep topics.
  • If the article is about team/culture, recommend a real photo (Category B) instead of generating.
  • If GOOGLE_API_KEY is not available, output the prompt for manual use and tell the user how to set up the key.

平台分布

Codex

36.6%
按下载量换算29

Claude

28.67%
按下载量换算23

Cursor

16.5%
按下载量换算13

Gemini CLI

8.38%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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