Banana Cog

AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade comp...

Security Scan

The skill's instructions clearly require the CellCog SDK and an API key, but the skill metadata/manifest does not declare those dependencies or credentials — likely an oversight but a meaningful inconsistency you should understand before installing.

Purpose & Capability

The name/description match the instructions: this is an adapter that orchestrates multi-image jobs via CellCog/Nano Banana. That purpose legitimately requires the cellcog SDK and an API key, which the SKILL.md mentions. However, the registry entry for the skill declares no required env vars or primary credential while the SKILL.md lists 'dependencies: [cellcog]' and instructs setting CELLCOG_API_KEY — a mismatch.

Instruction Scope

The runtime instructions stay within the scope of image generation: they show how to call the CellCog client, recommend chat_mode, and explain installation/authentication. They do not instruct reading arbitrary system files or exfiltrating unrelated data. The only scope issue is that they reference installation and an API key that are not declared in the manifest.

Install Mechanism

This is an instruction-only skill (no install spec). The SKILL.md recommends standard installation routes (pip install -U cellcog or platform-specific setup commands). No obscure download URLs or archive extraction are suggested.

Credentials

The instructions require CELLCOG_API_KEY (and a cellcog SDK) for authentication, but the skill metadata lists no required environment variables or primary credential. Requesting an API key for the service is proportional to the stated purpose, but the manifest omission is a red flag because it hides the credential requirement from automated checks and users.

Persistence & Privilege

The skill does not request always:true or other elevated persistent privileges. It is user-invocable and allows autonomous invocation (the platform default) and does not claim to alter other skills or global configuration.

What to consider before installing

This skill appears to do what it says (orchestrate multi-image generation via CellCog), but the manifest fails to declare the real dependency and credential (CELLCOG_API_KEY) that the SKILL.md requires. Before installing: 1) Confirm the skill source is legitimate (CellCog homepage or official publisher). 2) Expect to install the cellcog Python package or use the platform's cellcog setup command. 3) Only provide a CELLCOG_API_KEY with appropriate scope and review CellCog's privacy/usage terms (prompts and images may be sent to their servers). 4) If you want automation safety, ask the publisher to update the skill manifest to declare the required env var and dependency explicitly so automated checks can surface the requirement. If you need me to, I can suggest exact questions to ask the publisher or draft a safer manifest for review.

Banana Cog — Nano Banana × CellCog

Nano Banana × CellCog. Complex multi-image jobs, executed perfectly, from a single prompt.

Nano Banana is an incredible image model. CellCog makes it do things you can't do by calling it directly — orchestrating 10, 20, even 30 coherent images in one request with consistent characters, planned compositions, and intelligent scene progression. Not single images — complete visual projects.

What CellCog adds on top of Nano Banana:

Reasoning → Scene Planning → Character Design → Image Generation
    → Consistency Verification → Composition Review → Delivery

CellCog's reasoning layer plans scenes before a single pixel is generated — selecting optimal parameters, maintaining character identity across sequences, and orchestrating complex multi-image workflows. This is the difference between "generate an image" and "execute a visual project."

How to Use

For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.

OpenClaw (fire-and-forget):

result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)

All agents except OpenClaw (blocks until done):

from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])

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What You Can Create

Photorealistic Image Generation

Create stunning images from text descriptions:

• Portraits: "Create a professional headshot with warm studio lighting"
• Product Shots: "Generate a hero image for a premium smartwatch on a dark surface"
• Scenes: "Create a cozy autumn café interior with morning light"
• Food Photography: "Generate an overhead shot of a colorful Buddha bowl"

Character Consistency

Nano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:

• Character Series: "Create a tech entrepreneur character, then show them in 4 different scenes"
• Brand Mascots: "Design a mascot and generate it in multiple poses and contexts"
• Story Sequences: "Create a character and illustrate them across 5 story beats"

Multi-Image Composition

Blend elements from multiple reference images:

• Style Fusion: "Combine the color palette of image A with the composition of image B"
• Character Placement: "Place this person into a new environment while preserving their likeness"
• Product Mockups: "Put this product into a lifestyle setting"

Image Editing

Transform and enhance existing images:

• Style Transfer: "Transform this photo into a Studio Ghibli illustration"
• Background Swap: "Place this product on a clean marble surface"
• Enhancement: "Add dramatic lighting and cinematic color grading"
• Modification: "Change the season from summer to winter in this landscape"

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Image Specifications

Aspect	Options
Aspect Ratios	1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9
Sizes	1K (~1024px), 2K (~2048px), 4K (~4096px)
Styles	Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector

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Chat Mode

Scenario	Recommended Mode
Single images, quick edits	"agent"
Character-consistent series, complex compositions	"agent"
Large sets with brand guidelines	"agent team"

Use "agent" for most image work.

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Tips for Better Images

1. Be descriptive: "Woman in office" → "Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light"

2. Specify style: "photorealistic", "digital illustration", "watercolor", "anime"

3. Describe lighting: "Soft natural light", "dramatic side lighting", "golden hour glow"

4. For character consistency: Describe the character in detail first, then reference "the same character" in subsequent prompts.

5. Include composition: "Rule of thirds", "close-up portrait", "wide establishing shot"

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If CellCog is not installed

Run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate. OpenClaw users: Run clawhub install cellcog instead. Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.