Automated summary
Edits a fixed reference image using Google Gemini's Imagen model and distributes the result across multiple messaging platforms via OpenClaw.
Strengths
- Leverages advanced image generation (Imagen 4 Fast) for creative, context-aware selfies.
- Automates distribution to multiple chat platforms (WhatsApp, Telegram, Discord, Slack) through a single command.
- Supports two distinct selfie modes (mirror and direct) to suit different visual contexts.
Limitations
- Requires valid API keys for both Gemini and OpenClaw, which adds setup overhead.
- Image quality and consistency depend on the Gemini model's ability to accurately reflect the user's description.
- The skill is tied to a single fixed reference image; changing the base image is not straightforward.
Use when you need to quickly generate and share a personalized selfie of the AI character in response to user requests about appearance or activity.
Avoid when precise control over image composition or editing beyond the preset modes is required, or when the user expects a real photograph.
Security analysis
SafeThe skill uses external APIs (Gemini, OpenClaw) for image editing and messaging. It requires API keys and tokens to be set. Commands are standard (npm, npx, curl, openclaw). No destructive operations, no exfiltration of secrets, no obfuscated payloads. Messaging is local (localhost) and authenticated. Overall, low risk.
No concerns found
How this analysis is madeExamples
send a pic of you wearing a santa hatsend a selfie at a cozy cafe with warm lightingsend me a pic of youname: 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
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
- Get user prompt for how to edit the image
- Edit image via Google Gemini API (Imagen 4 Fast) with fixed reference
- Extract image URL from response
- 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):
mirrorordirectselfie 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:
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:
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
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)
npm install
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
- 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
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/ono-selfie-with-gemini-ms2s7blc/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/ono-selfie-with-gemini-ms2s7blc' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/ono-selfie-with-gemini-ms2s7blc/download' --output '.skill-downloads/ono-selfie-with-gemini-ms2s7blc/SKILL.md.part' && mv '.skill-downloads/ono-selfie-with-gemini-ms2s7blc/SKILL.md.part' '.skill-downloads/ono-selfie-with-gemini-ms2s7blc/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
Tools declared by the author (check availability in your agent): Bash(npm:*) Bash(npx:*) Bash(openclaw:*) Bash(curl:*) Read Write WebFetch
Original excerpt: Quick Reference
Required Environment Variables
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
- Get user prompt for how to edit the image
- Edit image via Google Gemini API (Imagen 4 Fast) with fixed reference
- Extract image URL from response
- Send to OpenClaw with target channel(s)
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.
Claude Code
test -f '.skill-downloads/ono-selfie-with-gemini-ms2s7blc/SKILL.md' && test -s '.skill-downloads/ono-selfie-with-gemini-ms2s7blc/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/ono-selfie' && cp -R '.skill-downloads/ono-selfie-with-gemini-ms2s7blc' '.claude/skills/ono-selfie'OpenSkills
OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.
Official OpenSkills installationopenskills install './.skill-downloads/ono-selfie-with-gemini-ms2s7blc'openskills read 'ono-selfie-with-gemini-ms2s7blc'Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.
For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.
openskills syncManual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/ono-selfie-with-gemini-ms2s7blc/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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