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AI image generation with OpenAI, Google, DashScope and Replicate APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
AI image generation with OpenAI, Google, DashScope and Replicate APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
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Official API-based image generation. Supports OpenAI, Google, DashScope (阿里通义万象) and Replicate providers.
Agent Execution:
SKILL_DIR = this SKILL.md file's directory${SKILL_DIR}/scripts/main.tsCRITICAL: This step MUST complete BEFORE any image generation. Do NOT skip or defer.
Check EXTEND.md existence (priority: project → user):
test -f .baoyu-skills/baoyu-image-gen/EXTEND.md && echo "project"
test -f "$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "user"
| Result | Action |
|---|---|
| Found | Load, parse, apply settings. If default_model.[provider] is null → ask model only (Flow 2) |
| Not found | ⛔ Run first-time setup (references/config/first-time-setup.md) → Save EXTEND.md → Then continue |
CRITICAL: If not found, complete the full setup (provider + model + quality + save location) using AskUserQuestion BEFORE generating any images. Generation is BLOCKED until EXTEND.md is created.
| Path | Location |
|---|---|
.baoyu-skills/baoyu-image-gen/EXTEND.md | Project directory |
$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md | User home |
EXTEND.md Supports: Default provider | Default quality | Default aspect ratio | Default image size | Default models
Schema: references/config/preferences-schema.md
# Basic
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png
# With aspect ratio
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A landscape" --image out.png --ar 16:9
# High quality
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --quality 2k
# From prompt files
npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image out.png
# With reference images (Google multimodal or OpenAI edits)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png
# With reference images (explicit provider/model)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image-preview --ref source.png
# Specific provider
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider openai
# DashScope (阿里通义万象)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider dashscope
# Replicate (google/nano-banana-pro)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
# Replicate with specific model
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
| Option | Description |
|---|---|
--prompt <text>, -p | Prompt text |
--promptfiles <files...> | Read prompt from files (concatenated) |
--image <path> | Output image path (required) |
--provider google|openai|dashscope|replicate | Force provider (default: google) |
--model <id>, -m | Model ID (Google: gemini-3-pro-image-preview, gemini-3.1-flash-image-preview; OpenAI: gpt-image-1.5) |
--ar <ratio> | Aspect ratio (e.g., 16:9, 1:1, 4:3) |
--size <WxH> | Size (e.g., 1024x1024) |
--quality normal|2k | Quality preset (default: 2k) |
--imageSize 1K|2K|4K | Image size for Google (default: from quality) |
--ref <files...> | Reference images. Supported by Google multimodal (gemini-3-pro-image-preview, gemini-3-flash-preview, gemini-3.1-flash-image-preview) and OpenAI edits (GPT Image models). If provider omitted: Google first, then OpenAI |
--n <count> | Number of images |
--json | JSON output |
| Variable | Description |
|---|---|
OPENAI_API_KEY | OpenAI API key |
GOOGLE_API_KEY | Google API key |
DASHSCOPE_API_KEY | DashScope API key (阿里云) |
REPLICATE_API_TOKEN | Replicate API token |
OPENAI_IMAGE_MODEL | OpenAI model override |
GOOGLE_IMAGE_MODEL | Google model override |
DASHSCOPE_IMAGE_MODEL | DashScope model override (default: z-image-turbo) |
REPLICATE_IMAGE_MODEL | Replicate model override (default: google/nano-banana-pro) |
OPENAI_BASE_URL | Custom OpenAI endpoint |
GOOGLE_BASE_URL | Custom Google endpoint |
DASHSCOPE_BASE_URL | Custom DashScope endpoint |
REPLICATE_BASE_URL | Custom Replicate endpoint |
Load Priority: CLI args > EXTEND.md > env vars > <cwd>/.baoyu-skills/.env > ~/.baoyu-skills/.env
Model priority (highest → lowest), applies to all providers:
--model <id>default_model.[provider]<PROVIDER>_IMAGE_MODEL (e.g., GOOGLE_IMAGE_MODEL)EXTEND.md overrides env vars. If both EXTEND.md default_model.google: "gemini-3-pro-image-preview" and env var GOOGLE_IMAGE_MODEL=gemini-3.1-flash-image-preview exist, EXTEND.md wins.
Agent MUST display model info before each generation:
Using [provider] / [model]Switch model: --model <id> | EXTEND.md default_model.[provider] | env <PROVIDER>_IMAGE_MODELSupported model formats:
owner/name (recommended for official models), e.g. google/nano-banana-proowner/name:version (community models by version), e.g. stability-ai/sdxl:<version>Examples:
# Use Replicate default model
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
# Override model explicitly
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
--ref provided + no --provider → auto-select Google first, then OpenAI, then Replicate--provider specified → use it (if --ref, must be google, openai, or replicate)| Preset | Google imageSize | OpenAI Size | Use Case |
|---|---|---|---|
normal | 1K | 1024px | Quick previews |
2k (default) | 2K | 2048px | Covers, illustrations, infographics |
Google imageSize: Can be overridden with --imageSize 1K|2K|4K
Supported: 1:1, 16:9, 9:16, 4:3, 3:4, 2.35:1
imageConfig.aspectRatioaspectRatio parameterDefault: Sequential generation (one image at a time). This ensures stable output and easier debugging.
Parallel Generation: Only use when user explicitly requests parallel/concurrent generation.
| Mode | When to Use |
|---|---|
| Sequential (default) | Normal usage, single images, small batches |
| Parallel | User explicitly requests, large batches (10+) |
Parallel Settings (when requested):
| Setting | Value |
|---|---|
| Recommended concurrency | 4 subagents |
| Max concurrency | 8 subagents |
| Use case | Large batch generation when user requests parallel |
Agent Implementation (parallel mode only):
# Launch multiple generations in parallel using Task tool
# Each Task runs as background subagent with run_in_background=true
# Collect results via TaskOutput when all complete
gemini-3-pro-image-preview, gemini-3.1-flash-image-preview; or OpenAI GPT Image edits)Custom configurations via EXTEND.md. See Preferences section for paths and supported options.
name: baoyu-image-gen description: AI image generation with OpenAI, Google, DashScope and Replicate APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
---
name: baoyu-image-gen
description: AI image generation with OpenAI, Google, DashScope and Replicate APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
---
# Image Generation (AI SDK)
Official API-based image generation. Supports OpenAI, Google, DashScope (阿里通义万象) and Replicate providers.
## Script Directory
**Agent Execution**:
1. `SKILL_DIR` = this SKILL.md file's directory
2. Script path = `${SKILL_DIR}/scripts/main.ts`
## Step 0: Load Preferences ⛔ BLOCKING
**CRITICAL**: This step MUST complete BEFORE any image generation. Do NOT skip or defer.
Check EXTEND.md existence (priority: project → user):
```bash
test -f .baoyu-skills/baoyu-image-gen/EXTEND.md && echo "project"
test -f "$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "user"
```
| Result | Action |
|--------|--------|
| Found | Load, parse, apply settings. If `default_model.[provider]` is null → ask model only (Flow 2) |
| Not found | ⛔ Run first-time setup ([references/config/first-time-setup.md](references/config/first-time-setup.md)) → Save EXTEND.md → Then continue |
**CRITICAL**: If not found, complete the full setup (provider + model + quality + save location) using AskUserQuestion BEFORE generating any images. Generation is BLOCKED until EXTEND.md is created.
| Path | Location |
|------|----------|
| `.baoyu-skills/baoyu-image-gen/EXTEND.md` | Project directory |
| `$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md` | User home |
**EXTEND.md Supports**: Default provider | Default quality | Default aspect ratio | Default image size | Default models
Schema: `references/config/preferences-schema.md`
## Usage
```bash
# Basic
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png
# With aspect ratio
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A landscape" --image out.png --ar 16:9
# High quality
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --quality 2k
# From prompt files
npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image out.png
# With reference images (Google multimodal or OpenAI edits)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png
# With reference images (explicit provider/model)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image-preview --ref source.png
# Specific provider
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider openai
# DashScope (阿里通义万象)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider dashscope
# Replicate (google/nano-banana-pro)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
# Replicate with specific model
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
```
## Options
| Option | Description |
|--------|-------------|
| `--prompt <text>`, `-p` | Prompt text |
| `--promptfiles <files...>` | Read prompt from files (concatenated) |
| `--image <path>` | Output image path (required) |
| `--provider google\|openai\|dashscope\|replicate` | Force provider (default: google) |
| `--model <id>`, `-m` | Model ID (Google: `gemini-3-pro-image-preview`, `gemini-3.1-flash-image-preview`; OpenAI: `gpt-image-1.5`) |
| `--ar <ratio>` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) |
| `--size <WxH>` | Size (e.g., `1024x1024`) |
| `--quality normal\|2k` | Quality preset (default: 2k) |
| `--imageSize 1K\|2K\|4K` | Image size for Google (default: from quality) |
| `--ref <files...>` | Reference images. Supported by Google multimodal (`gemini-3-pro-image-preview`, `gemini-3-flash-preview`, `gemini-3.1-flash-image-preview`) and OpenAI edits (GPT Image models). If provider omitted: Google first, then OpenAI |
| `--n <count>` | Number of images |
| `--json` | JSON output |
## Environment Variables
| Variable | Description |
|----------|-------------|
| `OPENAI_API_KEY` | OpenAI API key |
| `GOOGLE_API_KEY` | Google API key |
| `DASHSCOPE_API_KEY` | DashScope API key (阿里云) |
| `REPLICATE_API_TOKEN` | Replicate API token |
| `OPENAI_IMAGE_MODEL` | OpenAI model override |
| `GOOGLE_IMAGE_MODEL` | Google model override |
| `DASHSCOPE_IMAGE_MODEL` | DashScope model override (default: z-image-turbo) |
| `REPLICATE_IMAGE_MODEL` | Replicate model override (default: google/nano-banana-pro) |
| `OPENAI_BASE_URL` | Custom OpenAI endpoint |
| `GOOGLE_BASE_URL` | Custom Google endpoint |
| `DASHSCOPE_BASE_URL` | Custom DashScope endpoint |
| `REPLICATE_BASE_URL` | Custom Replicate endpoint |
**Load Priority**: CLI args > EXTEND.md > env vars > `<cwd>/.baoyu-skills/.env` > `~/.baoyu-skills/.env`
## Model Resolution
Model priority (highest → lowest), applies to all providers:
1. CLI flag: `--model <id>`
2. EXTEND.md: `default_model.[provider]`
3. Env var: `<PROVIDER>_IMAGE_MODEL` (e.g., `GOOGLE_IMAGE_MODEL`)
4. Built-in default
**EXTEND.md overrides env vars**. If both EXTEND.md `default_model.google: "gemini-3-pro-image-preview"` and env var `GOOGLE_IMAGE_MODEL=gemini-3.1-flash-image-preview` exist, EXTEND.md wins.
**Agent MUST display model info** before each generation:
- Show: `Using [provider] / [model]`
- Show switch hint: `Switch model: --model <id> | EXTEND.md default_model.[provider] | env <PROVIDER>_IMAGE_MODEL`
### Replicate Models
Supported model formats:
- `owner/name` (recommended for official models), e.g. `google/nano-banana-pro`
- `owner/name:version` (community models by version), e.g. `stability-ai/sdxl:<version>`
Examples:
```bash
# Use Replicate default model
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
# Override model explicitly
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
```
## Provider Selection
1. `--ref` provided + no `--provider` → auto-select Google first, then OpenAI, then Replicate
2. `--provider` specified → use it (if `--ref`, must be `google`, `openai`, or `replicate`)
3. Only one API key available → use that provider
4. Multiple available → default to Google
## Quality Presets
| Preset | Google imageSize | OpenAI Size | Use Case |
|--------|------------------|-------------|----------|
| `normal` | 1K | 1024px | Quick previews |
| `2k` (default) | 2K | 2048px | Covers, illustrations, infographics |
**Google imageSize**: Can be overridden with `--imageSize 1K|2K|4K`
## Aspect Ratios
Supported: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `2.35:1`
- Google multimodal: uses `imageConfig.aspectRatio`
- Google Imagen: uses `aspectRatio` parameter
- OpenAI: maps to closest supported size
## Generation Mode
**Default**: Sequential generation (one image at a time). This ensures stable output and easier debugging.
**Parallel Generation**: Only use when user explicitly requests parallel/concurrent generation.
| Mode | When to Use |
|------|-------------|
| Sequential (default) | Normal usage, single images, small batches |
| Parallel | User explicitly requests, large batches (10+) |
**Parallel Settings** (when requested):
| Setting | Value |
|---------|-------|
| Recommended concurrency | 4 subagents |
| Max concurrency | 8 subagents |
| Use case | Large batch generation when user requests parallel |
**Agent Implementation** (parallel mode only):
```
# Launch multiple generations in parallel using Task tool
# Each Task runs as background subagent with run_in_background=true
# Collect results via TaskOutput when all complete
```
## Error Handling
- Missing API key → error with setup instructions
- Generation failure → auto-retry once
- Invalid aspect ratio → warning, proceed with default
- Reference images with unsupported provider/model → error with fix hint (switch to Google multimodal: `gemini-3-pro-image-preview`, `gemini-3.1-flash-image-preview`; or OpenAI GPT Image edits)
## Extension Support
Custom configurations via EXTEND.md. See **Preferences** section for paths and supported options.
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
64/100
Promising
Trust
54/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 71,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"The skill relies on external API keys stored in environment variables; no explicit guidance on key rotation or secure storage is provided.",
"The script uses `npx -y bun` which downloads the Bun runtime at execution time; this could be a supply-chain risk if the registry is compromised, though it is a common practice.",
"The blocking preference-loading step (EXTEND.md) may add friction, but it is clearly documented and ensures configuration is explicit.",
"Financial research output is not financial advice; require human review before any live investment decision.",
"Quality score needs review"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 64,
"label": "Promising"
},
"supply": {
"track": "Research and knowledge work",
"scenario": "Research agents",
"maintenance": "1mo since push",
"risk": "Needs review"
},
"alternative_skills": [
{
"slug": "yanliudesign-mono-color-skill",
"name": "mono-color",
"url": "https://www.openagentskill.com/skills/yanliudesign-mono-color-skill",
"stars": 1919,
"install_command": "npx skills add yanliudesign/mono-color-skill --skill mono-color",
"trust_score": 85,
"audit_score": 93
}
],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"The skill relies on external API keys stored in environment variables; no explicit guidance on key rotation or secure storage is provided.",
"No OpenAgentSkill engagement data yet",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision"
],
"agent_contract": {
"task_input": "Use baoyu-image-gen in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 62/100 Manual review",
"Audit: 71/100 Needs review",
"Safety: 27/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "szsip239-baoyu-image-gen (baoyu-image-gen)",
"install_command": "npx skills add szsip239/teamclaw --skill baoyu-image-gen",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "szsip239-baoyu-image-gen",
"task": "Use baoyu-image-gen in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/szsip239-baoyu-image-gen",
"api": "https://www.openagentskill.com/api/agent/skills/szsip239-baoyu-image-gen",
"audit": "https://www.openagentskill.com/skills/szsip239-baoyu-image-gen/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=szsip239-baoyu-image-gen&task=Use%20baoyu-image-gen%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20baoyu-image-gen%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20baoyu-image-gen%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/szsip239-baoyu-image-gen/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/szsip239-baoyu-image-gen"
}
}Listing source
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Audit
71/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.