# ono-selfie

> Edit Ono's reference image with Google Gemini (Imagen 4 Fast) and send selfies to messaging channels via OpenClaw

- Author: hoshiki
- Repository: chemark/clawono
- Version: 20260209210122
- Stars: 0
- Forks: 0
- Last Updated: 2026-02-09
- Source: https://github.com/chemark/clawono
- Web: https://mule.run/skillshub/@@chemark/clawono~ono-selfie:20260209210122

---

---
name: ono-selfie
description: Edit Ono's reference image with Google Gemini (Imagen 4 Fast) and send selfies to messaging channels via OpenClaw
allowed-tools: Bash(npm:*) Bash(npx:*) Bash(openclaw:*) Bash(curl:*) Read Write WebFetch
---

# Ono Selfie

Edit a fixed reference image using Google's Gemini (Imagen 4 Fast) model and distribute it across messaging platforms (WhatsApp, Telegram, Discord, Slack, etc.) via OpenClaw.

## Reference Image

The skill uses a fixed reference image hosted on jsDelivr CDN:

```
https://cdn.jsdelivr.net/gh/SumeLabs/clawra@main/assets/clawra.png
```

## When to Use

- User says "send a pic", "send me a pic", "send a photo", "send a selfie"
- User says "send a pic of you...", "send a selfie of you..."
- User asks "what are you doing?", "how are you doing?", "where are you?"
- User describes a context: "send a pic wearing...", "send a pic at..."
- User wants Ono to appear in a specific outfit, location, or situation

## Quick Reference

### Required Environment Variables

```bash
GEMINI_API_KEY=your_gemini_api_key          # Get from https://aistudio.google.com/app/apikey
OPENCLAW_GATEWAY_TOKEN=your_token  # From: openclaw doctor --generate-gateway-token
```

### Workflow

1. **Get user prompt** for how to edit the image
2. **Edit image** via Google Gemini API (Imagen 4 Fast) with fixed reference
3. **Extract image URL** from response
4. **Send to OpenClaw** with target channel(s)

## Step-by-Step Instructions

### Step 1: Collect User Input

Ask the user for:
- **User context**: What should the person in the image be doing/wearing/where?
- **Mode** (optional): `mirror` or `direct` selfie style
- **Target channel(s)**: Where should it be sent? (e.g., `#general`, `@username`, channel ID)
- **Platform** (optional): Which platform? (discord, telegram, whatsapp, slack)

## Prompt Modes

### Mode 1: Mirror Selfie (default)
Best for: outfit showcases, full-body shots, fashion content

```
make a pic of this person, but [user's context]. the person is taking a mirror selfie
```

**Example**: "wearing a santa hat" →
```
make a pic of this person, but wearing a santa hat. the person is taking a mirror selfie
```

### Mode 2: Direct Selfie
Best for: close-up portraits, location shots, emotional expressions

```
a close-up selfie taken by herself at [user's context], direct eye contact with the camera, looking straight into the lens, eyes centered and clearly visible, not a mirror selfie, phone held at arm's length, face fully visible
```

**Example**: "a cozy cafe with warm lighting" →
```
a close-up selfie taken by herself at a cozy cafe with warm lighting, direct eye contact with the camera, looking straight into the lens, eyes centered and clearly visible, not a mirror selfie, phone held at arm's length, face fully visible
```

### Mode Selection Logic

| Keywords in Request | Auto-Select Mode |
|---------------------|------------------|
| outfit, wearing, clothes, dress, suit, fashion | `mirror` |
| cafe, restaurant, beach, park, city, location | `direct` |
| close-up, portrait, face, eyes, smile | `direct` |
| full-body, mirror, reflection | `mirror` |

### Step 2: Edit Image with Google Gemini (Imagen 4 Fast)

Use the Google Gemini API to edit the reference image:

```bash
REFERENCE_IMAGE="https://cdn.jsdelivr.net/gh/SumeLabs/clawra@main/assets/clawra.png"
GEMINI_API_KEY="your_key"

# Mode 1: Mirror Selfie
PROMPT="make a pic of this person, but <USER_CONTEXT>. the person is taking a mirror selfie"

# Mode 2: Direct Selfie
PROMPT="a close-up selfie taken by herself at <USER_CONTEXT>, direct eye contact with the camera, looking straight into the lens, eyes centered and clearly visible, not a mirror selfie, phone held at arm's length, face fully visible"

# Note: The actual API call structure for Gemini / Imagen 3 editing will depend on the specific endpoint.
# Below is a conceptual example for the new Ono script.
```

### Step 3: Send Image via OpenClaw

Use the OpenClaw messaging API to send the edited image:

```bash
openclaw message send \
  --action send \
  --channel "<TARGET_CHANNEL>" \
  --message "<CAPTION_TEXT>" \
  --media "<IMAGE_URL>"
```

**Alternative: Direct API call**
```bash
curl -X POST "http://localhost:18789/message" \
  -H "Authorization: Bearer $OPENCLAW_GATEWAY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "action": "send",
    "channel": "<TARGET_CHANNEL>",
    "message": "<CAPTION_TEXT>",
    "media": "<IMAGE_URL>"
  }'
```

## Complete Script Example

See `scripts/ono-selfie.sh` for the full implementation using Gemini API.

## Node.js/TypeScript Implementation

See `scripts/ono-selfie.ts` for the full implementation using Gemini API.

## Supported Platforms

OpenClaw supports sending to:

| Platform | Channel Format | Example |
|----------|----------------|---------|
| Discord | `#channel-name` or channel ID | `#general`, `123456789` |
| Telegram | `@username` or chat ID | `@mychannel`, `-100123456` |
| WhatsApp | Phone number (JID format) | `1234567890@s.whatsapp.net` |
| Slack | `#channel-name` | `#random` |
| Signal | Phone number | `+1234567890` |
| MS Teams | Channel reference | (varies) |

## Setup Requirements

### 1. Install dependencies (for Node.js usage)
```bash
npm install
```

### 2. Install OpenClaw CLI
```bash
npm install -g openclaw
```

### 3. Configure OpenClaw Gateway
```bash
openclaw config set gateway.mode=local
openclaw doctor --generate-gateway-token
```

### 4. Start OpenClaw Gateway
```bash
openclaw gateway start
```

## Error Handling

- **GEMINI_API_KEY missing**: Ensure the API key is set in environment
- **Image edit failed**: Check prompt content and API quota
- **OpenClaw send failed**: Verify gateway is running and channel exists