ziho7/agnes-skills/agnes-imagegen

Claude Code and agent skill by ziho7/agnes-skills

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Generate images using the Agnes Image 2.0 Flash model API. Use when the user asks to generate images via Agnes AI platform (apihub.agnes-ai.com). Triggers on: agnes image, agnes 图片, image gen, generate image, text to image, img2img, image editing, multi-image composition, 生图, 文生图, 图生图.

Install

npx vskill@latest install ziho7/agnes-skills/agnes-imagegen

SKILL.md

Agnes Image Generation

Generate images using the Agnes Image 2.0 Flash API.

Prerequisites

  • An Agnes AI API key from API Platform
  • Base URL: https://apihub.agnes-ai.com/v1

API Details

Endpoint: POST https://apihub.agnes-ai.com/v1/images/generations

Headers:

  • Authorization: Bearer YOUR_API_KEY
  • Content-Type: application/json

Model Name: agnes-image-2.0-flash

Request Parameters

ParameterTypeRequiredDescription
modelstringYesFixed as agnes-image-2.0-flash
promptstringYesText prompt describing the target image or editing instruction
sizestringYesOutput image size: 1024x768, 1024x1024, or 768x1024
imagestring[]Image-to-Image onlyInput image array. Supports public URLs or Data URI Base64
return_base64booleanNoReturn Base64 output for text-to-image
extra_body.response_formatstringNoOutput format: url or b64_json

Workflows

1. Text-to-Image (URL output)
bash
curl -X POST https://apihub.agnes-ai.com/v1/images/generations \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "agnes-image-2.0-flash",
"prompt": "A clean product photo of a glass cube on a white studio background, soft shadows, high detail",
"size": "1024x768",
"extra_body": { "response_format": "url" }
}'

Result: data[0].url

2. Text-to-Image (Base64 output)
bash
curl -X POST https://apihub.agnes-ai.com/v1/images/generations \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "agnes-image-2.0-flash",
"prompt": "A clean product photo of a glass cube on a white studio background, soft shadows, high detail",
"size": "1024x768",
"return_base64": true
}'

Result: data[0].b64_json

3. Image-to-Image (URL input, URL output)
bash
curl -X POST https://apihub.agnes-ai.com/v1/images/generations \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "agnes-image-2.0-flash",
"prompt": "Transform this image into a cinematic cyberpunk style while preserving the main subject and composition",
"size": "1024x768",
"extra_body": {
"image": ["https://example.com/input-image.png"],
"response_format": "url"
}
}'
4. Multi-Image Composition
bash
curl -X POST https://apihub.agnes-ai.com/v1/images/generations \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "agnes-image-2.0-flash",
"prompt": "Combine the two characters into an intense fantasy battle scene, dynamic lighting, detailed background, cinematic composition",
"size": "1024x768",
"extra_body": {
"image": [
"https://example.com/character-1.png",
"https://example.com/character-2.png"
],
"response_format": "url"
}
}'

Response Format

URL output:

json
{
"created": 1780000000,
"data": [
{
"url": "https://storage.googleapis.com/agnes-aigc/xxx.png",
"b64_json": null,
"revised_prompt": null
}
]
}

Base64 output:

json
{
"created": 1780000000,
"data": [
{
"url": null,
"b64_json": "iVBORw0KGgoAAAANSUhEUgAA...",
"revised_prompt": null
}
]
}

Important Notes

  • Text-to-image does not require the image parameter
  • Image-to-image requires image array (public URLs or Data URI Base64)
  • Image-to-image does NOT require tags: ["img2img"]
  • Do NOT place response_format at the top level — use extra_body.response_format
  • Client timeout recommended: 60s–360s
  • Pricing: Currently free during beta

Prompt Best Practices

Text-to-Image structure: [Main subject] + [Scene/background] + [Style] + [Lighting] + [Composition] + [Quality requirements]

Example:

A young explorer standing in an ancient temple, cinematic fantasy style, warm dramatic lighting, wide-angle composition, ultra detailed, high quality

Image-to-Image structure: [Editing instruction] + [Elements to preserve] + [Target style/scene] + [Lighting] + [Composition] + [Quality requirements]

Example:

Change the background into a cinematic fantasy temple while preserving the person's face, outfit, and pose, warm dramatic lighting, wide-angle composition, ultra detailed, high quality

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
71
Repository forks
14
7-day trend score
0

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/ziho7/agnes-skills/agnes-imagegen/badge)](https://verified-skill.com/skills/ziho7/agnes-skills/agnes-imagegen)

Something wrong with this skill or its page? Tell us.