---

name: clawra-selfie description: Edit Clawra's reference image with Seedream 4.5 (EvoLink) and send selfies to messaging channels via OpenClaw allowed-tools: Bash(npm:) Bash(npx:) Bash(openclaw:) Bash(curl:) Read Write WebFetch

Clawra Selfie

Edit a fixed reference image using Seedream 4.5 via EvoLink 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 Clawra to appear in a specific outfit, location, or situation

Quick Reference

Required Environment Variables

EVOLINK_API_KEY=your_evolink_api_key
EVOLINK_SIZE=2304x4096
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 EvoLink Seedream 4.5 API with fixed reference
3. Poll task until image URL is available
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 Seedream 4.5 (EvoLink)

Use the EvoLink async task API to edit the reference image:

REFERENCE_IMAGE="https://cdn.jsdelivr.net/gh/SumeLabs/clawra@main/assets/clawra.png"
EVOLINK_BASE_URL="${EVOLINK_BASE_URL:-https://api.evolink.ai}"
MODEL="${EVOLINK_MODEL:-doubao-seedream-4.5}"
SIZE="${EVOLINK_SIZE:-2304x4096}"

# 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"

# 1) Create task
JSON_PAYLOAD=$(jq -n \
  --arg model "$MODEL" \
  --arg prompt "$PROMPT" \
  --arg size "$SIZE" \
  --arg ref "$REFERENCE_IMAGE" \
  '{model: $model, prompt: $prompt, n: 1, size: $size, image_urls: [$ref]}')

CREATE=$(curl -s -X POST "$EVOLINK_BASE_URL/v1/images/generations" \
  -H "Authorization: Bearer $EVOLINK_API_KEY" \
  -H "Content-Type: application/json" \
  -d "$JSON_PAYLOAD")

TASK_ID=$(echo "$CREATE" | jq -r '.task_id // .data.task_id // .id // empty')
echo "task_id=$TASK_ID"

# 2) Poll task (repeat until status becomes completed)
TASK=$(curl -s -X GET "$EVOLINK_BASE_URL/v1/tasks/$TASK_ID" \
  -H "Authorization: Bearer $EVOLINK_API_KEY" \
  -H "Content-Type: application/json")

STATUS=$(echo "$TASK" | jq -r '.status // .data.status // empty')
RESULT_URL=$(echo "$TASK" | jq -r '.results[0] // .data.results[0] // .images[0].url // .data.images[0].url // empty')
echo "status=$STATUS url=$RESULT_URL"

Response Format:

{
  "task_id": "task_..."
}

Step 3: Send Image via OpenClaw

Use the OpenClaw messaging API to send the edited image:

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

Alternative: Direct API call

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

Use the included scripts:

• TypeScript: scripts/clawra-selfie.ts
• Bash: scripts/clawra-selfie.sh

TypeScript example:

EVOLINK_API_KEY=your_key EVOLINK_SIZE=2304x4096 \
  npx ts-node scripts/clawra-selfie.ts "wearing a cowboy hat, mirror selfie" "#general" "Selfie time"

Bash example:

EVOLINK_API_KEY=your_key EVOLINK_SIZE=2304x4096 \
  ./scripts/clawra-selfie.sh "a close-up selfie in a cozy cafe" "#general" "Hi" "2304x4096"

Node.js/TypeScript Implementation

See scripts/clawra-selfie.ts for the reference-edit + OpenClaw send implementation.

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) |

Seedream 4.5 Edit Parameters (EvoLink)

| Parameter | Type | Default | Description | |-----------|------|---------|-------------| | model | string | "doubao-seedream-4.5" | Model name | | prompt | string | required | Edit instruction | | image_urls | string[] | required | Reference image URL(s) | | size | string | "2304x4096" | Output size | | n | number | 1 | Number of images |

Setup Requirements

1. Install OpenClaw CLI

npm install -g openclaw

2. Configure OpenClaw Gateway

openclaw config set gateway.mode=local
openclaw doctor --generate-gateway-token

3. Start OpenClaw Gateway

openclaw gateway start

Error Handling

• EVOLINK_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
• Task timeout: Increase polling timeout or check EvoLink task status

Tips

1. Mirror mode context examples (outfit focus):

   • "wearing a santa hat"
   • "in a business suit"
   • "wearing a summer dress"
   • "in streetwear fashion"

2. Direct mode context examples (location/portrait focus):

   • "a cozy cafe with warm lighting"
   • "a sunny beach at sunset"
   • "a busy city street at night"
   • "a peaceful park in autumn"

3. Mode selection: Let auto-detect work, or explicitly specify for control

4. Batch sending: Edit once, send to multiple channels

5. Scheduling: Combine with OpenClaw scheduler for automated posts