baoyu-image-gen – Design & UI skill for AI agents
AI image generation with OpenAI GPT Image 2.5, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation whe
Install the baoyu-image-gen skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/baoyu-image-gen-a3d4b.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /baoyu-image-gen – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/baoyu-image-gen-a3d4b.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $baoyu-image-gen – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/baoyu-image-gen-a3d4b.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /baoyu-image-gen – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/baoyu-image-gen-a3d4b.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /baoyu-image-gen – then describe the task you want done.
SKILL.md content
Image Generation (AI SDK)
Official API-based image generation. Supports OpenAI GPT Image 2.5, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), Z.AI GLM-Image, MiniMax, Jimeng (即梦), Seedream (豆包), Replicate and Agnes.
User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
1. Prefer built-in user-input tools exposed by the current agent runtime — e.g., AskUserQuestion, request_user_input, clarify, ask_user, or any equivalent.
2. Fallback: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
3. Batching: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete AskUserQuestion references below are examples — substitute the local equivalent in other runtimes.
Script Directory
{baseDir} = this SKILL.md's directory. All scripts/... paths below are relative to {baseDir}. Main script: {baseDir}/scripts/main.ts. Batch payload helper: {baseDir}/scripts/build-batch.ts. Resolve ${BUN_X}: prefer bun; else npx -y bun; else suggest brew install oven-sh/bun/bun.
Step 0: Load Preferences ⛔ BLOCKING
This step MUST complete before any image generation — generation is blocked until EXTEND.md exists.
Check these paths in order; first hit wins:
| Path | Scope |
|------|-------|
| .baoyu-skills/baoyu-image-gen/EXTEND.md | Project |
| ${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-image-gen/EXTEND.md | XDG |
| $HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md | User home |
- Found → load, parse, apply. If
default_model.[provider]is null → ask model only. - Not found → run first-time setup (
references/config/first-time-setup.md) using AskUserQuestion to collect provider + model + quality + save location. Save EXTEND.md, then continue. Do not generate images before this completes.
Legacy compatibility: if .baoyu-skills/baoyu-imagine/EXTEND.md exists and the new path doesn't, the runtime renames it to baoyu-image-gen. If both exist, the runtime leaves them alone and uses the new path.
EXTEND.md keys: default provider, default quality, default aspect ratio, default image size, OpenAI image API dialect, default models, batch worker cap, provider-specific batch limits. Schema: references/config/preferences-schema.md.
Usage
Minimum working examples — see references/usage-examples.md for the full set including per-provider invocations and batch mode.
Identity-preserving reference prompts
When the user wants a real person/character/object preserved from reference images, do not replace the reference with a long generic description. Prefer short, hard identity-preservation language:
- "Use the person/object in the reference image(s) as the same identity. Do not redesign it or create a similar-looking new subject."
- "Only change scene, clothing, pose, lighting, rendering style, and composition. Keep the face/proportions/hair/key accessories/overall identity from the references."
- If using multiple references, state that they are the same subject and should jointly define identity.
Pitfall: long descriptions like "young East Asian woman, oval face, clear eyes..." can cause the model to synthesize a new person matching the description instead of preserving the referenced person.
# Basic
${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image cat.png
# With aspect ratio and high quality
${BUN_X} {baseDir}/scripts/main.ts --prompt "A landscape" --image out.png --ar 16:9 --quality 2k
# Prompt from files
${BUN_X} {baseDir}/scripts/main.ts --promptfiles system.md content.md --image out.png
# With reference image
${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png
# Specific provider
${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider dashscope --model qwen-image-2.0-pro
# OpenAI GPT Image 2
${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider openai --model gpt-image-2.5-flare
# Codex CLI (uses logged-in Codex subscription — no OPENAI_API_KEY required; requires `codex` on PATH)
${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider codex-cli --ar 16:9
# Batch mode
${BUN_X} {baseDir}/scripts/main.ts --batchfile batch.json --jobs 4
# Build a batch file from outline.md + prompts/ (e.g. baoyu-article-illustrator output)
${BUN_X} {baseDir}/scripts/build-batch.ts --outline outline.md --prompts prompts --output batch.json --images-dir attachments
${BUN_X} {baseDir}/scripts/main.ts --batchfile batch.json --jobs 4Reference-Image Identity Preservation
When the user wants a person/object preserved from reference images:
- Prefer a small curated set of existing source references (usually 2–4) over many images; large multi-megabyte refs can destabilize streaming providers.
- Make the prompt say the references are the same subject and the output must use that identity. Avoid long generic facial-feature descriptions that can cause the model to synthesize a new similar-looking person.
- Do not use newly generated outputs as references unless the user explicitly asks; generated refs compound drift.
- If results become too polished or influencer-like, reduce stylized refs and add explicit anti-beautification constraints (no face slimming, eye enlargement, heavy makeup, commercial travel shoot, over-smoothing).
- If the subject should look younger/older, preserve the face and express age through clothing, posture, scene, and styling; do not ask the model to change facial identity.
Options
| Option | Description |
|--------|-------------|
| --prompt <text>, -p | Prompt text |
| --promptfiles <files...> | Read prompt from files (concatenated) |
| --image <path> | Output image path (required in single-image mode) |
| --batchfile <path> | JSON batch file for multi-image generation |
| --jobs <count> | Worker count for batch mode (default: auto, max from config, built-in default 10) |
| --provider google\|openai\|azure\|openrouter\|dashscope\|zai\|minimax\|jimeng\|seedream\|replicate\|codex-cli\|agnes | Force provider (default: auto-detect; codex-cli is never auto-selected — must be pinned via CLI or EXTEND.md) |
| --model <id>, -m | Model ID — see provider references for defaults and allowed values |
| --ar <ratio> | Aspect ratio (16:9, 1:1, 4:3, …) |
| --size <WxH> | Explicit size (e.g., 1024x1024; for gpt-image-2.5-* and gpt-image-2, width/height must be multiples of 16, max edge 3840px, ratio no wider than 3:1) |
| --quality normal\|2k | Quality preset (default: 2k) |
| --imageSize 1K\|2K\|4K | Image size for Google/OpenRouter (default: from quality) |
| --imageApiDialect openai-native\|ratio-metadata | OpenAI-compatible endpoint dialect — use ratio-metadata for gateways that expect aspect-ratio size plus metadata.resolution |
| --ref <files...> | Reference images. Supported by Google multimodal, OpenAI GPT Image edits, Azure OpenAI edits (PNG/JPG only), OpenRouter multimodal models, Replicate supported families, MiniMax subject-reference, Seedream 5.0/4.5/4.0, DashScope wan2.7-image-pro/wan2.7-image. Not supported by Jimeng, Seedream 3.0, SeedEdit 3.0, or any DashScope model outside the wan2.7-image* family |
| --n <count> | Number of images. Replicate requires --n 1 (single-output save semantics) |
| --json | JSON output |
Environment Variables
| Variable | Description |
|----------|-------------|
| OPENAI_API_KEY | OpenAI API key |
| AZURE_OPENAI_API_KEY | Azure OpenAI API key |
| OPENROUTER_API_KEY | OpenRouter API key |
| GOOGLE_API_KEY | Google API key |
| DASHSCOPE_API_KEY | DashScope API key |
| ZAI_API_KEY (alias BIGMODEL_API_KEY) | Z.AI API key |
| MINIMAX_API_KEY | MiniMax API key |
| REPLICATE_API_TOKEN | Replicate API token |
| JIMENG_ACCESS_KEY_ID, JIMENG_SECRET_ACCESS_KEY | Jimeng (即梦) Volcengine credentials |
| ARK_API_KEY | Seedream (豆包) Volcengine ARK API key |
| <PROVIDER>_IMAGE_MODEL | Per-provider model override (OPENAI_IMAGE_MODEL, GOOGLE_IMAGE_MODEL, DASHSCOPE_IMAGE_MODEL, ZAI_IMAGE_MODEL/BIGMODEL_IMAGE_MODEL, MINIMAX_IMAGE_MODEL, OPENROUTER_IMAGE_MODEL, REPLICATE_IMAGE_MODEL, JIMENG_IMAGE_MODEL, SEEDREAM_IMAGE_MODEL, AGNES_IMAGE_MODEL) |
| AZURE_OPENAI_DEPLOYMENT (alias AZURE_OPENAI_IMAGE_MODEL) | Azure default deployment |
| <PROVIDER>_BASE_URL | Per-provider endpoint override |
| AZURE_API_VERSION | Azure image API version (default 2025-04-01-preview) |
| JIMENG_REGION | Jimeng region (default cn-north-1) |
| OPENAI_IMAGE_API_DIALECT | openai-native \| ratio-metadata |
| OPENROUTER_HTTP_REFERER, OPENROUTER_TITLE | Optional OpenRouter attribution |
| BAOYU_IMAGE_GEN_MAX_WORKERS | Override batch worker cap |
| `BAO
… (full content is in the download package)
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