Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Clawra Selfie (MiniMax)
Generate AI images using MiniMax or fal.ai (Grok Imagine) and send to messaging channels via OpenClaw
skill openclawclawhub Free
Generate AI images using MiniMax or fal.ai (Grok Imagine) and send to messaging channels via OpenClaw
⬇ 0 downloads ★ 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, bin/cli.js, package.json, scripts/clawra-selfie-enhanced.sh, scripts/clawra-selfie.sh
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
- 1.2.0
Provenance
- Publisher
- HonestQiao
- Source page
- View original listing
- Canonical URL
- Open canonical page
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
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts2 Docs1 Config
- SKILL.md
- README.md
- bin/cli.js
- scripts/clawra-selfie-enhanced.sh
- scripts/clawra-selfie.sh
- package.json