Agent skill · AI & Agents

baoyu-image-gen

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.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-codeships scripts
Install
npx skills add ECNU-ICALK/AutoSkill --skill baoyu-image-gen --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 8
SKILL.md size: 8 KB
Bundled scripts: yes
Path: SkillBank/Common/baoyu-skills/baoyu-image-gen/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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` ## Preferences (EXTEND.md) Use Bash to check EXTEND.md existence (priority order): ```bash # Check project-level first test -f .baoyu-skills/baoyu-image-gen/EXTEND.md && echo "project" # Then user-level (cross-platform: $HOME works on macOS/Linux/WSL) test -f "$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "user" ``` ┌──────────────────────────────────────────────────┬───────────────────┐ │ Path │ Location │ ├──────────────────────────────────────────────────┼───────────────────┤ │ .baoyu-skills/baoyu-image-gen/EXTEND.md │ Project directory │ ├──────────────────────────────────────────────────┼───────────────────┤ │ $HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md │ User home │ └──────────────────────────────────────────────────┴───────────────────┘ ┌───────────┬───────────────────────────────────────────────────────────────────────────┐ │ Result │ Action │ ├───────────┼─────────────────────────────────────────

What's inside
Steps it walks through
  1. Script Directory
  2. Preferences (EXTEND.md)
  3. Usage
  4. Options
  5. Environment Variables
  6. Replicate Model Configuration
  7. Provider Selection
  8. Quality Presets
  9. Aspect Ratios
  10. Generation Mode
  11. Error Handling
  12. Extension Support
Ships with 7 files
  • references/config/preferences-schema.md
  • scripts/main.ts
  • scripts/providers/dashscope.ts
  • scripts/providers/google.ts
  • scripts/providers/openai.ts
  • scripts/providers/replicate.ts
  • scripts/types.ts
Commands it runs
Check project-level first
test -f .baoyu-skills/baoyu-image-gen/EXTEND.md && echo "project"
Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "user"
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
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About this skill
What does the baoyu-image-gen skill do?

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.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill baoyu-image-gen --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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