Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Nano Banana Skill
Nano Banana, Nano Banana Pro, Nano Banana 2 - Google AI image generation models for AI agents. Ultra-high character consistency, 1K-4K resolution, up to 14 r...
skill openclawclawhub Free
Nano Banana, Nano Banana Pro, Nano Banana 2 - Google AI image generation models for AI agents. Ultra-high character consistency, 1K-4K resolution, up to 14 r...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- seekton
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Nano Banana Skill
Nano Banana is Google's cutting-edge AI image generation model series designed for AI agents. Part of the Monet AI unified API platform.
When to Use
Use this skill when: Character Consistent Image Series: Create images with consistent characters using reference images nano-banana-1: Up to 5 reference images for character consistency nano-banana-1-pro: Up to 14 reference images with 1K-4K resolution nano-banana-2: Latest Gemini model with extreme aspect ratio support High-Resolution Output: Generate professional-grade images with 1K, 2K, or 4K resolution Ultra-Wide Formats: Create panoramic images with extreme aspect ratios (21:9, 8:1) Style Transfer: Use multiple reference images to guide style and character
Getting API Key
Visit https://monet.vision to register an account After login, go to https://monet.vision/skills/keys to create an API Key Configure the API Key in environment variables or code If you don't have an API Key, ask your owner to apply at monet.vision.
Create an Image Generation Task
curl -X POST https://monet.vision/api/v1/tasks/async \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $MONET_API_KEY" \ -d '{ "type": "image", "input": { "model": "nano-banana-1", "prompt": "A cute cat in a garden", "aspect_ratio": "16:9" }, "idempotency_key": "unique-key-123" }' β οΈ Important: idempotency_key is required. Use a unique value (e.g., UUID) to prevent duplicate task creation if the request is retried. Response: { "id": "task_abc123", "status": "pending", "type": "image", "created_at": "2026-02-27T10:00:00Z" }
Get Task Status and Result
Task processing is asynchronous. You need to poll the task status until it becomes success or failed. Recommended polling interval: 5 seconds. curl https://monet.vision/api/v1/tasks/task_abc123 \ -H "Authorization: Bearer $MONET_API_KEY" Response when completed: { "id": "task_abc123", "status": "success", "type": "image", "outputs": [ { "model": "nano-banana-1", "status": "success", "progress": 100, "url": "https://files.monet.vision/..." } ], "created_at": "2026-02-27T10:00:00Z", "updated_at": "2026-02-27T10:01:30Z" } Example: Poll until completion const TASK_ID = "task_abc123"; const MONET_API_KEY = process.env.MONET_API_KEY; async function pollTask() { while (true) { const response = await fetch( `https://monet.vision/api/v1/tasks/${TASK_ID}`, { headers: { Authorization: `Bearer ${MONET_API_KEY}`, }, }, ); const data = await response.json(); const status = data.status; if (status === "success") { console.log("Task completed successfully!"); console.log(JSON.stringify(data, null, 2)); break; } else if (status === "failed") { console.log("Task failed!"); console.log(JSON.stringify(data, null, 2)); break; } else { console.log(`Task status: ${status}, waiting...`); await new Promise((resolve) => setTimeout(resolve, 5000)); } } } pollTask();
nano-banana-1
nano-banana-1 - Google Nano Banana Ultra-high character consistency π― Use Cases: Image series requiring consistent character appearance π Max Reference Images: 5 { model: "nano-banana-1", prompt: string, // Required images?: string[], // Optional: Up to 5 reference images aspect_ratio?: "1:1" | "2:3" | "3:2" | "4:3" | "3:4" | "16:9" | "9:16" }
nano-banana-1-pro
nano-banana-1-pro - Nano Banana Pro Google flagship generation model π― Use Cases: Professional-grade high-quality image generation π Max Reference Images: 14 π₯οΈ Resolution: 1K, 2K, 4K { model: "nano-banana-1-pro", prompt: string, // Required images?: string[], // Optional: Up to 14 reference images aspect_ratio?: "1:1" | "2:3" | "3:2" | "4:3" | "3:4" | "4:5" | "5:4" | "16:9" | "9:16" | "21:9", resolution?: "1K" | "2K" | "4K" }
nano-banana-2
nano-banana-2 - Nano Banana 2 Google Gemini latest model π― Use Cases: Latest technology for high-quality image generation π Max Reference Images: 14 π₯οΈ Resolution: 1K, 2K, 4K π Special: Ultra-wide aspect ratios including 8:1 { model: "nano-banana-2", prompt: string, // Required images?: string[], // Optional: Up to 14 reference images aspect_ratio?: "1:1" | "2:3" | "3:2" | "4:3" | "3:4" | "4:5" | "5:4" | "16:9" | "9:16" | "21:9" | "4:1" | "1:4" | "8:1" | "1:8", resolution?: "1K" | "2K" | "4K" }
Create Task (Async)
POST /api/v1/tasks/async - Create an async task. Returns immediately with task ID. Request: curl -X POST https://monet.vision/api/v1/tasks/async \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $MONET_API_KEY" \ -d '{ "type": "image", "input": { "model": "nano-banana-1", "prompt": "A cute cat" }, "idempotency_key": "unique-key-123" }' β οΈ Important: idempotency_key is required. Use a unique value (e.g., UUID) to prevent duplicate task creation if the request is retried. Response: { "id": "task_abc123", "status": "pending", "type": "image", "created_at": "2026-02-27T10:00:00Z" }
Create Task (Streaming)
POST /api/v1/tasks/sync - Create a task with SSE streaming. Waits for completion and streams progress. Request: curl -X POST https://monet.vision/api/v1/tasks/sync \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $MONET_API_KEY" \ -N \ -d '{ "type": "image", "input": { "model": "nano-banana-1", "prompt": "A cute cat" }, "idempotency_key": "unique-key-123" }'
Get Task
GET /api/v1/tasks/{taskId} - Get task status and result. Request: curl https://monet.vision/api/v1/tasks/task_abc123 \ -H "Authorization: Bearer $MONET_API_KEY" Response: { "id": "task_abc123", "status": "success", "type": "image", "outputs": [ { "model": "nano-banana-1", "status": "success", "progress": 100, "url": "https://files.monet.vision/..." } ], "created_at": "2026-02-27T10:00:00Z", "updated_at": "2026-02-27T10:01:30Z" }
List Tasks
GET /api/v1/tasks/list - List tasks with pagination. Request: curl "https://monet.vision/api/v1/tasks/list?page=1&pageSize=20" \ -H "Authorization: Bearer $MONET_API_KEY" Response: { "tasks": [ { "id": "task_abc123", "status": "success", "type": "image", "outputs": [ { "model": "nano-banana-1", "status": "success", "progress": 100, "url": "https://files.monet.vision/..." } ], "created_at": "2026-02-27T10:00:00Z", "updated_at": "2026-02-27T10:01:30Z" } ], "page": 1, "pageSize": 20, "total": 100 }
Upload File
POST /api/v1/files - Upload a file to get an online access URL. π File Storage: Uploaded files are stored for 24 hours and will be automatically deleted after expiration. Request: curl -X POST https://monet.vision/api/v1/files \ -H "Authorization: Bearer $MONET_API_KEY" \ -F "file=@/path/to/your/image.jpg" \ -v Response: { "id": "file_xyz789", "url": "...", "filename": "image.jpg", "size": 1048576, "content_type": "image/jpeg", "created_at": "2026-02-27T10:00:00Z" }
Environment Variables
export MONET_API_KEY="monet_xxx"
Authentication
All API requests require authentication via the Authorization header: Authorization: Bearer monet_xxx
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- README.md