# Send Clawra Selfie (MiniMax) to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- 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.
## Suggested prompts
### New install

```text
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

```text
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.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "clawra-selfie-minimax",
    "name": "Clawra Selfie (MiniMax)",
    "source": "tencent",
    "type": "skill",
    "category": "通讯协作",
    "sourceUrl": "https://clawhub.ai/HonestQiao/clawra-selfie-minimax",
    "canonicalUrl": "https://clawhub.ai/HonestQiao/clawra-selfie-minimax",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/clawra-selfie-minimax",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=clawra-selfie-minimax",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "README.md",
      "SKILL.md",
      "bin/cli.js",
      "package.json",
      "scripts/clawra-selfie-enhanced.sh",
      "scripts/clawra-selfie.sh"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/clawra-selfie-minimax"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/clawra-selfie-minimax",
    "downloadUrl": "https://openagent3.xyz/downloads/clawra-selfie-minimax",
    "agentUrl": "https://openagent3.xyz/skills/clawra-selfie-minimax/agent",
    "manifestUrl": "https://openagent3.xyz/skills/clawra-selfie-minimax/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/clawra-selfie-minimax/agent.md"
  }
}
```
## Documentation

### Clawra Selfie

Generate AI images using either MiniMax or xAI's Grok Imagine model and distribute them across messaging platforms (WhatsApp, Telegram, Discord, Slack, etc.) via OpenClaw.

💡 Tip: The enhanced script automatically detects which API key is available (MiniMax takes priority by default).

### 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

### Required Environment Variables

Option 1: fal.ai (Grok Imagine)

FAL_KEY=your_fal_api_key          # Get from https://fal.ai/dashboard/keys

Option 2: MiniMax (Recommended - usually faster/more reliable)

MINIMAX_API_KEY=your_minimax_api_key  # Get from https://platform.minimaxi.com

Common:

OPENCLAW_GATEWAY_TOKEN=your_token  # From: openclaw doctor --generate-gateway-token

⚠️ Security Note: Never hardcode API keys in scripts. Use environment variables.

### Workflow

Get user prompt for how to edit the image
Edit image via fal.ai Grok Imagine Edit API with fixed reference
Extract image URL from response
Send to OpenClaw with target channel(s)

### 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)

### 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 RequestAuto-Select Modeoutfit, wearing, clothes, dress, suit, fashionmirrorcafe, restaurant, beach, park, city, locationdirectclose-up, portrait, face, eyes, smiledirectfull-body, mirror, reflectionmirror

### Step 2: Generate Image

You have two options for image generation:

Option A: MiniMax API (Recommended)

# Set API key
export MINIMAX_API_KEY="your_minimax_api_key"

# Call the enhanced script
/home/honestqiao/.openclaw/workspace/skills/clawra-selfie/scripts/clawra-selfie-enhanced.sh \\
  "A girl wearing a red dress, smiling, at a beach sunset" \\
  "telegram" \\
  "Beach vibes! 🌊" \\
  "minimax"

MiniMax API Details:

Endpoint: https://api.minimaxi.com/v1/image_generation
Model: image-01
Response: Base64 encoded image
Aspect ratios supported: 1:1, 3:4, 4:3, 9:16, 16:9, 21:9

Option B: fal.ai (Grok Imagine)

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

# 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"

# Build JSON payload with jq (handles escaping properly)
JSON_PAYLOAD=$(jq -n \\
  --arg image_url "$REFERENCE_IMAGE" \\
  --arg prompt "$PROMPT" \\
  '{image_url: $image_url, prompt: $prompt, num_images: 1, output_format: "jpeg"}')

curl -X POST "https://fal.run/xai/grok-imagine-image/edit" \\
  -H "Authorization: Key $FAL_KEY" \\
  -H "Content-Type: application/json" \\
  -d "$JSON_PAYLOAD"

Response Format:

{
  "images": [
    {
      "url": "https://v3b.fal.media/files/...",
      "content_type": "image/jpeg",
      "width": 1024,
      "height": 1024
    }
  ],
  "revised_prompt": "Enhanced prompt text..."
}

### 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

#!/bin/bash
# grok-imagine-edit-send.sh

# Check required environment variables
if [ -z "$FAL_KEY" ]; then
  echo "Error: FAL_KEY environment variable not set"
  exit 1
fi

# Fixed reference image
REFERENCE_IMAGE="https://cdn.jsdelivr.net/gh/SumeLabs/clawra@main/assets/clawra.png"

USER_CONTEXT="$1"
CHANNEL="$2"
MODE="${3:-auto}"  # mirror, direct, or auto
CAPTION="${4:-Edited with Grok Imagine}"

if [ -z "$USER_CONTEXT" ] || [ -z "$CHANNEL" ]; then
  echo "Usage: $0 <user_context> <channel> [mode] [caption]"
  echo "Modes: mirror, direct, auto (default)"
  echo "Example: $0 'wearing a cowboy hat' '#general' mirror"
  echo "Example: $0 'a cozy cafe' '#general' direct"
  exit 1
fi

# Auto-detect mode based on keywords
if [ "$MODE" == "auto" ]; then
  if echo "$USER_CONTEXT" | grep -qiE "outfit|wearing|clothes|dress|suit|fashion|full-body|mirror"; then
    MODE="mirror"
  elif echo "$USER_CONTEXT" | grep -qiE "cafe|restaurant|beach|park|city|close-up|portrait|face|eyes|smile"; then
    MODE="direct"
  else
    MODE="mirror"  # default
  fi
  echo "Auto-detected mode: $MODE"
fi

# Construct the prompt based on mode
if [ "$MODE" == "direct" ]; then
  EDIT_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"
else
  EDIT_PROMPT="make a pic of this person, but $USER_CONTEXT. the person is taking a mirror selfie"
fi

echo "Mode: $MODE"
echo "Editing reference image with prompt: $EDIT_PROMPT"

# Edit image (using jq for proper JSON escaping)
JSON_PAYLOAD=$(jq -n \\
  --arg image_url "$REFERENCE_IMAGE" \\
  --arg prompt "$EDIT_PROMPT" \\
  '{image_url: $image_url, prompt: $prompt, num_images: 1, output_format: "jpeg"}')

RESPONSE=$(curl -s -X POST "https://fal.run/xai/grok-imagine-image/edit" \\
  -H "Authorization: Key $FAL_KEY" \\
  -H "Content-Type: application/json" \\
  -d "$JSON_PAYLOAD")

# Extract image URL
IMAGE_URL=$(echo "$RESPONSE" | jq -r '.images[0].url')

if [ "$IMAGE_URL" == "null" ] || [ -z "$IMAGE_URL" ]; then
  echo "Error: Failed to edit image"
  echo "Response: $RESPONSE"
  exit 1
fi

echo "Image edited: $IMAGE_URL"
echo "Sending to channel: $CHANNEL"

# Send via OpenClaw
openclaw message send \\
  --action send \\
  --channel "$CHANNEL" \\
  --message "$CAPTION" \\
  --media "$IMAGE_URL"

echo "Done!"

### Node.js/TypeScript Implementation

import { fal } from "@fal-ai/client";
import { exec } from "child_process";
import { promisify } from "util";

const execAsync = promisify(exec);

const REFERENCE_IMAGE = "https://cdn.jsdelivr.net/gh/SumeLabs/clawra@main/assets/clawra.png";

interface GrokImagineResult {
  images: Array<{
    url: string;
    content_type: string;
    width: number;
    height: number;
  }>;
  revised_prompt?: string;
}

type SelfieMode = "mirror" | "direct" | "auto";

function detectMode(userContext: string): "mirror" | "direct" {
  const mirrorKeywords = /outfit|wearing|clothes|dress|suit|fashion|full-body|mirror/i;
  const directKeywords = /cafe|restaurant|beach|park|city|close-up|portrait|face|eyes|smile/i;

  if (directKeywords.test(userContext)) return "direct";
  if (mirrorKeywords.test(userContext)) return "mirror";
  return "mirror"; // default
}

function buildPrompt(userContext: string, mode: "mirror" | "direct"): string {
  if (mode === "direct") {
    return \`a close-up selfie taken by herself at ${userContext}, 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\`;
  }
  return \`make a pic of this person, but ${userContext}. the person is taking a mirror selfie\`;
}

async function editAndSend(
  userContext: string,
  channel: string,
  mode: SelfieMode = "auto",
  caption?: string
): Promise<string> {
  // Configure fal.ai client
  fal.config({
    credentials: process.env.FAL_KEY!
  });

  // Determine mode
  const actualMode = mode === "auto" ? detectMode(userContext) : mode;
  console.log(\`Mode: ${actualMode}\`);

  // Construct the prompt
  const editPrompt = buildPrompt(userContext, actualMode);

  // Edit reference image with Grok Imagine
  console.log(\`Editing image: "${editPrompt}"\`);

  const result = await fal.subscribe("xai/grok-imagine-image/edit", {
    input: {
      image_url: REFERENCE_IMAGE,
      prompt: editPrompt,
      num_images: 1,
      output_format: "jpeg"
    }
  }) as { data: GrokImagineResult };

  const imageUrl = result.data.images[0].url;
  console.log(\`Edited image URL: ${imageUrl}\`);

  // Send via OpenClaw
  const messageCaption = caption || \`Edited with Grok Imagine\`;

  await execAsync(
    \`openclaw message send --action send --channel "${channel}" --message "${messageCaption}" --media "${imageUrl}"\`
  );

  console.log(\`Sent to ${channel}\`);
  return imageUrl;
}

// Usage Examples

// Mirror mode (auto-detected from "wearing")
editAndSend(
  "wearing a cyberpunk outfit with neon lights",
  "#art-gallery",
  "auto",
  "Check out this AI-edited art!"
);
// → Mode: mirror
// → Prompt: "make a pic of this person, but wearing a cyberpunk outfit with neon lights. the person is taking a mirror selfie"

// Direct mode (auto-detected from "cafe")
editAndSend(
  "a cozy cafe with warm lighting",
  "#photography",
  "auto"
);
// → Mode: direct
// → Prompt: "a close-up selfie taken by herself at a cozy cafe with warm lighting, direct eye contact..."

// Explicit mode override
editAndSend("casual street style", "#fashion", "direct");

### Supported Platforms

OpenClaw supports sending to:

PlatformChannel FormatExampleDiscord#channel-name or channel ID#general, 123456789Telegram@username or chat ID@mychannel, -100123456WhatsAppPhone number (JID format)1234567890@s.whatsapp.netSlack#channel-name#randomSignalPhone number+1234567890MS TeamsChannel reference(varies)

### Grok Imagine Edit Parameters

ParameterTypeDefaultDescriptionimage_urlstringrequiredURL of image to edit (fixed in this skill)promptstringrequiredEdit instructionnum_images1-41Number of images to generateoutput_formatenum"jpeg"jpeg, png, webp

### 1. Install fal.ai client (for Node.js usage)

npm install @fal-ai/client

### 2. Install OpenClaw CLI

npm install -g openclaw

### 3. Configure OpenClaw Gateway

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

### 4. Start OpenClaw Gateway

openclaw gateway start

### Error Handling

FAL_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
Rate limits: fal.ai has rate limits; implement retry logic if needed

### Tips

Mirror mode context examples (outfit focus):

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



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"



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


Batch sending: Edit once, send to multiple channels


Scheduling: Combine with OpenClaw scheduler for automated posts
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: HonestQiao
- Version: 1.2.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-23T16:43:11.935Z
- Expires at: 2026-04-30T16:43:11.935Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/clawra-selfie-minimax)
- [Send to Agent page](https://openagent3.xyz/skills/clawra-selfie-minimax/agent)
- [JSON manifest](https://openagent3.xyz/skills/clawra-selfie-minimax/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/clawra-selfie-minimax/agent.md)
- [Download page](https://openagent3.xyz/downloads/clawra-selfie-minimax)