Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
image-cog
AI image generation powered by CellCog. Create images, edit photos, consistent characters, product photography, reference-based images, sets of images, style transfer. Professional image creation with AI.
skill openclawclawhub Free
AI image generation powered by CellCog. Create images, edit photos, consistent characters, product photography, reference-based images, sets of images, style transfer. Professional image creation with AI.
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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
- SKILL.md
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. 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. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- nitishgargiitd
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Image Cog - AI Image Generation Powered by CellCog
Create professional images with AI - from single images to consistent character sets to product photography.
Prerequisites
This skill requires the cellcog skill for SDK setup and API calls. clawhub install cellcog Read the cellcog skill first for SDK setup. This skill shows you what's possible. Quick pattern (v1.0+): # Fire-and-forget - returns immediately result = client.create_chat( prompt="[your image request]", notify_session_key="agent:main:main", task_label="image-task", chat_mode="agent" # Use "agent" for simple images, "agent team" for complex ) # Daemon notifies you when complete - do NOT poll
Single Image Creation
Generate any image from a text description: Scenes: "A cozy coffee shop interior with morning light streaming through windows" Portraits: "Professional headshot of a confident woman in business attire" Products: "Minimalist product shot of a white sneaker on a marble surface" Abstract: "Geometric abstract art in navy and gold" Nature: "Misty mountain landscape at sunrise with a lone hiker"
Image Editing
Transform existing images: Style Transfer: "Transform this photo into a watercolor painting" Background Removal: "Remove the background and place on a clean white backdrop" Enhancement: "Enhance the colors and add dramatic lighting" Modification: "Change the person's outfit to a red dress"
Consistent Characters
Create multiple images of the same character in different scenarios: Character Series: "Create a tech entrepreneur character, then show them: 1) At their desk coding, 2) Presenting to investors, 3) Celebrating a product launch" Mascot Variations: "Design a friendly robot mascot, then create versions for: welcome page, error page, success message, loading screen" Story Sequences: "Create a main character, then illustrate them in 5 scenes of a journey" This is powerful for: Comic strips and storyboards Marketing campaigns with consistent characters Video frame generation Brand mascots across contexts
Product Photography Style
Professional product visuals: Hero Shots: "Product hero shot of a smartwatch on a gradient background" Lifestyle Shots: "Smartphone being used by a person in a modern living room" Flat Lays: "Flat lay of skincare products with botanical elements" 360 Views: "Multiple angles of a leather handbag - front, side, back, detail"
Sets of Related Images
Multiple cohesive images for campaigns or collections: Social Media Sets: "5 Instagram post images for a fitness brand - consistent style, varied content" Website Heroes: "3 hero images for a SaaS landing page - professional, modern, tech-focused" Ad Variations: "4 versions of a product ad with different backgrounds and moods" Blog Illustrations: "Set of 6 illustrations for a blog post about productivity tips"
Reference-Based Generation
Use existing images as references for style, character, or composition: Style Matching: "Create a new image in the same artistic style as this reference" Character Consistency: "Using this person as reference, create a new scene with them hiking" Brand Alignment: "Create product images matching this brand's visual style" Composition Reference: "Create a similar composition but with different subjects"
Image Specifications
AspectOptionsAspect Ratios1:1 (square), 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9Sizes1K (~1024px), 2K (~2048px), 4K (~4096px)StylesPhotorealistic, illustration, watercolor, oil painting, anime, digital art, vectorFormatsPNG (default) Size recommendations: 1K: Quick iterations, thumbnails, social media posts, drafts 2K: Standard web content, presentations, marketing materials 4K: Hero images, print materials, final deliverables where detail matters
When to Use Agent Team Mode
For image generation, chat_mode="agent team" is recommended for: Complex scenes requiring multiple elements Consistent character series Reference-based generation requiring analysis Sets of related images For simple single images, chat_mode="agent" can work faster.
Example Image Prompts
Professional headshot: "Create a professional headshot of a friendly Asian woman in her 30s, wearing a navy blazer, soft studio lighting, neutral gray background, confident but approachable expression. 1:1 square, 2K quality, photorealistic." Product photography: "Product shot of a premium wireless earbuds case, matte black finish, on a reflective dark surface with subtle blue accent lighting. Minimalist, high-end tech aesthetic. 4:3 landscape, 4K for hero image." Consistent character set: "Create a character: young Black male software developer, casual style with glasses, friendly demeanor. Then create 4 images: Working at a standing desk with multiple monitors In a video call meeting, explaining something At a coffee shop with laptop, thinking Celebrating with team, high-fiving Keep the character exactly consistent across all images." Social media set: "Create 5 Instagram posts for a plant-based meal delivery service: Colorful Buddha bowl from above Happy person unpacking delivery Meal prep containers arranged neatly Close-up of fresh ingredients Before/after showing ingredients to finished dish Style: bright, fresh, appetizing, consistent warm color grading. 1:1 square format." Style transfer: "Transform this uploaded photo of a city street into a Studio Ghibli anime style illustration. Keep the composition and elements but apply the characteristic Ghibli warmth, soft clouds, and whimsical details."
Tips for Better Images
Be descriptive: "Woman in office" is vague. "Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light" is better. Specify style: "Photorealistic", "digital illustration", "watercolor", "minimalist vector". Describe lighting: "Soft natural light", "dramatic side lighting", "golden hour glow", "studio lighting". Include mood: "Professional and confident", "warm and inviting", "energetic and vibrant". Mention composition: "Rule of thirds", "centered symmetry", "close-up", "wide establishing shot". For consistency: When creating character series, describe the character in detail first, then reference "the same character" in subsequent prompts.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md