{"id":"e7e6e762-8873-41bc-854e-eb675cfb8663","entityType":"agent","slug":"clawhub-cellcog-nano-banana-image-cellcog","name":"Nano Banana Image","canonicalUrl":"https://www.xpersona.co/agent/clawhub-cellcog-nano-banana-image-cellcog","canonicalPath":"/agent/clawhub-cellcog-nano-banana-image-cellcog","generatedAt":"2026-10-10T01:45:00.775Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-09T12:05:44.930Z","emptyReason":null},"description":"AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation. Skill: Nano Banana Image Owner: cellcog Summary: AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation. Tags: latest:1.0.14 Version history: v1.0.14 | 2026-08-24T02:03:56.200Z | user Content updated. v1.0.13 | 2026-08-24T01:48:32.375Z | user Content u","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 2.7K downloads reported by the source. Last updated 10/9/2026.","installCommand":"clawhub skill install s176q1btpn094ats9b4f9hgfwx83knpk:nano-banana-image-cellcog","sourceUrl":"https://clawhub.ai/cellcog/nano-banana-image-cellcog","homepage":"https://clawhub.ai/cellcog/skills/nano-banana-image-cellcog","primaryLinks":[{"label":"View on ClawHub","url":"https://clawhub.ai/cellcog/nano-banana-image-cellcog","kind":"source"},{"label":"Homepage","url":"https://clawhub.ai/cellcog/skills/nano-banana-image-cellcog","kind":"homepage"}],"safetyScore":84,"overallRank":62,"popularityScore":69,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composi"},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-10-09T12:05:44.930Z","emptyReason":null},"protocols":[{"protocol":"OPENCLEW","label":"OpenClaw","status":"self-declared","notes":"Declared in the public agent profile."}],"capabilities":[],"verifiedCount":0,"selfDeclaredCount":1,"capabilityMatrix":{"rows":[{"key":"OPENCLEW","type":"protocol","support":"unknown","confidenceSource":"profile","notes":"Listed on profile"}],"flattenedTokens":"protocol:OPENCLEW|unknown|profile"}},"adoption":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-09T12:05:44.930Z","emptyReason":null},"stars":null,"forks":null,"downloads":2701,"packageName":null,"latestVersion":"1.0.14","tractionLabel":"2.7K downloads"},"release":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-09T12:05:44.930Z","emptyReason":null},"lastUpdatedAt":"2026-10-09T12:05:44.930Z","lastCrawledAt":"2026-10-09T12:05:44.930Z","lastIndexedAt":null,"nextCrawlAt":"2026-10-10T12:05:44.930Z","lastVerifiedAt":null,"highlights":[{"version":"1.0.14","createdAt":"2026-08-24T02:03:56.200Z","changelog":"Content updated.","fileCount":3,"zipByteSize":4101},{"version":"1.0.13","createdAt":"2026-08-24T01:48:32.375Z","changelog":"Content updated.","fileCount":3,"zipByteSize":4148},{"version":"1.0.12","createdAt":"2026-08-03T06:08:36.029Z","changelog":"Content updated.","fileCount":3,"zipByteSize":4034},{"version":"1.0.11","createdAt":"2026-08-02T22:05:30.301Z","changelog":"Display title updated.","fileCount":3,"zipByteSize":3964},{"version":"1.0.10","createdAt":"2026-07-17T03:41:39.124Z","changelog":"- Skill renamed from \"banana-cog\" to \"nano-banana-image-cellcog\" for greater clarity. - Updated documentation to match the new skill name throughout. - Removed the skill-card.md file.","fileCount":3,"zipByteSize":3892},{"version":"1.0.9","createdAt":"2026-04-23T06:18:26.951Z","changelog":"- Added explicit system requirements in metadata: Python 3 and the CELLCOG_API_KEY environment variable are now specified as dependencies. - No changes to functionality or usage instructions. 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Nano Banana AI, Nano Banana Pro, Gemini image generation.\n\nTags: latest:1.0.14\n\nVersion history:\n\nv1.0.14 | 2026-08-24T02:03:56.200Z | user\n\nContent updated.\n\nv1.0.13 | 2026-08-24T01:48:32.375Z | user\n\nContent updated.\n\nv1.0.12 | 2026-08-03T06:08:36.029Z | user\n\nContent updated.\n\nv1.0.11 | 2026-08-02T22:05:30.301Z | user\n\nDisplay title updated.\n\nv1.0.10 | 2026-07-17T03:41:39.124Z | auto\n\n- Skill renamed from \"banana-cog\" to \"nano-banana-image-cellcog\" for greater clarity.\n- Updated documentation to match the new skill name throughout.\n- Removed the skill-card.md file.\n\nv1.0.9 | 2026-04-23T06:18:26.951Z | auto\n\n- Added explicit system requirements in metadata: Python 3 and the CELLCOG_API_KEY environment variable are now specified as dependencies.\n- No changes to functionality or usage instructions. Documentation metadata is updated for improved clarity and environment setup.\n\nv1.0.8 | 2026-04-14T17:31:32.420Z | auto\n\nbanana-cog 1.0.8\n\n- Updated the skill description for clarity and conciseness.\n- Clarified usage instructions for different agents, merging \"Cursor / Claude Code / Other agents\" into \"All agents except OpenClaw\".\n- Revised installation instructions for better coverage of different tools.\n- Removed some redundant branding and streamlined the messaging throughout.\n- No code or logic changes; documentation only.\n\nv1.0.7 | 2026-04-13T01:00:14.314Z | auto\n\n- Improved and expanded SKILL.md documentation for clarity and usability.\n- Updated description to highlight access via any agent and support for Nano Banana Pro and Gemini generation.\n- Added explicit Python code sample for initializing CellCogClient across multiple agent providers.\n- Refined language in usage instructions and feature breakdowns for better guidance.\n- No changes to code or logic — documentation only.\n\nv1.0.6 | 2026-04-12T23:34:48.391Z | auto\n\nVersion 1.0.6 of banana-cog introduces major SKILL.md refinements for clarity and onboarding.\n\n- Streamlined and shortened description for improved readability.\n- Consolidated SDK setup and usage instructions, including new install guidance for Cursor, OpenClaw, and other agents.\n- Moved full SDK reference details to the cellcog skill, with prominent redirection.\n- Removed repetitive or verbose sections, focusing on practical instructions.\n- Added section on what to do if CellCog is not installed.\n- Minor wording and formatting improvements throughout for conciseness.\n\nv1.0.5 | 2026-04-08T05:57:27.083Z | auto\n\n- Expanded and clarified documentation to highlight CellCog's orchestration layer and multi-image project capabilities.\n- Added detailed sections on photorealistic generation, character consistency, multi-image composition, and image editing.\n- Included image specification table (aspect ratios, sizes, styles) for better prompt control.\n- Introduced tips for achieving improved and consistent image results.\n- Updated chat mode recommendations for various use cases.\n\nv1.0.4 | 2026-04-06T05:06:39.198Z | auto\n\n- Updated documentation for clarity and focus: simplified description and usage instructions.\n- Highlighted main features: multi-image generation (10–20 images per prompt), character consistency, and Gemini (Nano Banana) model capabilities.\n- Clarified prerequisites and agent usage examples.\n- Added references to related skills (image-cog, sticker-cog, gif-cog).\n- Removed extended explanations and detailed prompts, streamlining for quicker understanding.\n\nv1.0.3 | 2026-04-03T01:42:50.776Z | auto\n\nVersion 1.0.3\n\n- Updated setup instructions in SKILL.md to clarify agent usage.\n- Added OpenClaw-specific and generic agent code snippets for `client.create_chat`.\n- Improved guidance for running long tasks and blocking calls.\n- Minor documentation clean-up for clarity and up-to-date usage.\n\nv1.0.2 | 2026-04-03T00:07:14.847Z | auto\n\n- Updated documentation to clarify quick start usage and reference full SDK features in the cellcog skill.\n- Example Python snippet revised for a simpler, more general “quick start” pattern.\n- Replaced agent-specific language with “any agent” for broader applicability.\n- Added guidance to refer to the cellcog skill for advanced SDK options and delivery modes.\n- No changes to functional code; update is documentation-only.\n\nv1.0.1 | 2026-03-27T04:16:59.844Z | auto\n\n- Added OpenClaw operating system metadata (`os: [darwin, linux, windows]`) for broader compatibility.\n- Included a `homepage` field with a link to https://cellcog.ai.\n- No changes to core skill logic; documentation update only.\n\nv1.0.0 | 2026-02-21T18:00:27.828Z | user\n\nInitial release of banana-cog — advanced multi-image generation orchestration for Nano Banana via CellCog.\n\n- Enables creation of 10–20+ coherent, character-consistent images from a single prompt\n- Supports scene planning, character design, and intelligent visual project execution\n- Handles photorealism, illustration styles, multi-image composition, and advanced image editing\n- Powerful prompt patterns for OpenClaw agents, built on the cellcog dependency\n- Flexible aspect ratios, resolutions (1K–4K), and a variety of artistic styles\n\nArchive index:\n\nArchive v1.0.14: 3 files, 4101 bytes\n\nFiles: skill-card.md (2026b), SKILL.md (5563b), _meta.json (145b)\n\nFile v1.0.14:SKILL.md\n\n---\nname: nano-banana-image-cellcog\ndescription: \"AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation.\"\nmetadata:\n  openclaw:\n    emoji: \"🍌\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Nano Banana Image — Nano Banana × CellCog\n\n**Nano Banana × CellCog.** Complex multi-image jobs, executed perfectly, from a single prompt.\n\nNano 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.\n\n**What CellCog adds on top of Nano Banana:**\n\n```\nReasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery\n```\n\nCellCog'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.\"\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Create\n\n### Photorealistic Image Generation\n\nCreate stunning images from text descriptions:\n\n- **Portraits**: \"Create a professional headshot with warm studio lighting\"\n- **Product Shots**: \"Generate a hero image for a premium smartwatch on a dark surface\"\n- **Scenes**: \"Create a cozy autumn café interior with morning light\"\n- **Food Photography**: \"Generate an overhead shot of a colorful Buddha bowl\"\n\n### Character Consistency\n\nNano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:\n\n- **Character Series**: \"Create a tech entrepreneur character, then show them in 4 different scenes\"\n- **Brand Mascots**: \"Design a mascot and generate it in multiple poses and contexts\"\n- **Story Sequences**: \"Create a character and illustrate them across 5 story beats\"\n\n### Multi-Image Composition\n\nBlend elements from multiple reference images:\n\n- **Style Fusion**: \"Combine the color palette of image A with the composition of image B\"\n- **Character Placement**: \"Place this person into a new environment while preserving their likeness\"\n- **Product Mockups**: \"Put this product into a lifestyle setting\"\n\n### Image Editing\n\nTransform and enhance existing images:\n\n- **Style Transfer**: \"Transform this photo into a Studio Ghibli illustration\"\n- **Background Swap**: \"Place this product on a clean marble surface\"\n- **Enhancement**: \"Add dramatic lighting and cinematic color grading\"\n- **Modification**: \"Change the season from summer to winter in this landscape\"\n\n---\n\n## Image Specifications\n\n| Aspect | Options |\n|--------|---------|\n| **Aspect Ratios** | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9 |\n| **Sizes** | 1K (~1024px), 2K (~2048px), 4K (~4096px) |\n| **Styles** | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector |\n\n---\n\n## Choosing Mode & Tier\n\n| Scenario | Recommended |\n|----------|-------------|\n| Quick generations and edits | `chat_mode=\"agent\"` (defaults to the `\"flash\"` tier) |\n| Large sets with strict brand guidelines | `chat_mode=\"agent\", chat_tier=\"max\"` |\n\n**The flash tier is the default and handles most image work well** — fast and economical. **Upgrade to `chat_tier=\"max\"`** when quality disappoints or the work is genuinely complex: just re-run the same prompt with `chat_tier=\"max\"`.\n\nAgent Team (`chat_mode=\"team\"`) is reserved for deep research — don't use it for image work.\n\n---\n\n## Tips for Better Images\n\n1. **Be descriptive**: \"Woman in office\" → \"Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light\"\n\n2. **Specify style**: \"photorealistic\", \"digital illustration\", \"watercolor\", \"anime\"\n\n3. **Describe lighting**: \"Soft natural light\", \"dramatic side lighting\", \"golden hour glow\"\n\n4. **For character consistency**: Describe the character in detail first, then reference \"the same character\" in subsequent prompts.\n\n5. **Include composition**: \"Rule of thirds\", \"close-up portrait\", \"wide establishing shot\"\n\n---\n\n## If CellCog is not installed\n\n**Claude Code, Cursor, Codex + 70 more agents:** `npx skills add cellcog/skills --skill cellcog`\n**OpenClaw:** `openclaw skills install @cellcog/cellcog`\n**CellCog plugin users:** run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool)\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.14:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"nano-banana-image-cellcog\",\n  \"version\": \"1.0.14\",\n  \"publishedAt\": 1787537036200\n}\n\nFile v1.0.14:skill-card.md\n\n## Description:\n\nNano Banana Image helps agents use CellCog with Nano Banana to generate and edit coherent multi-image visual projects with consistent characters and planned compositions.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[cellcog](https://clawhub.ai/user/cellcog)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers, creators, and agents use this skill to request image generation, image editing, character-consistent sequences, product mockups, and multi-image visual projects through CellCog.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill requires CELLCOG_API_KEY and may send prompts and uploaded reference images to the CellCog service.\n\nMitigation: Provide CELLCOG_API_KEY only in environments where the CellCog runtime needs it, and treat prompts and reference images as data shared with CellCog.\n\nRisk: Installation guidance includes unpinned third-party package or skill install commands.\n\nMitigation: Install only from official CellCog or OpenClaw sources, and prefer pinned versions or a reviewed environment when possible.\n\n## Reference(s):\n\n- [Nano Banana Image on ClawHub](https://clawhub.ai/cellcog/skills/nano-banana-image-cellcog)\n- [CellCog](https://cellcog.ai)\n- [CellCog publisher profile](https://clawhub.ai/user/cellcog)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration]\n\n**Output Format:** [Markdown with Python and shell code blocks]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Guidance may include image prompts, CellCog SDK calls, installation commands, and configuration steps requiring CELLCOG_API_KEY.]\n\n## Skill Version(s):\n\n1.0.14 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.13: 3 files, 4148 bytes\n\nFiles: skill-card.md (2066b), SKILL.md (5546b), _meta.json (145b)\n\nFile v1.0.13:SKILL.md\n\n---\nname: nano-banana-image-cellcog\ndescription: \"AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation.\"\nmetadata:\n  openclaw:\n    emoji: \"🍌\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Nano Banana Image — Nano Banana × CellCog\n\n**Nano Banana × CellCog.** Complex multi-image jobs, executed perfectly, from a single prompt.\n\nNano 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.\n\n**What CellCog adds on top of Nano Banana:**\n\n```\nReasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery\n```\n\nCellCog'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.\"\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Create\n\n### Photorealistic Image Generation\n\nCreate stunning images from text descriptions:\n\n- **Portraits**: \"Create a professional headshot with warm studio lighting\"\n- **Product Shots**: \"Generate a hero image for a premium smartwatch on a dark surface\"\n- **Scenes**: \"Create a cozy autumn café interior with morning light\"\n- **Food Photography**: \"Generate an overhead shot of a colorful Buddha bowl\"\n\n### Character Consistency\n\nNano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:\n\n- **Character Series**: \"Create a tech entrepreneur character, then show them in 4 different scenes\"\n- **Brand Mascots**: \"Design a mascot and generate it in multiple poses and contexts\"\n- **Story Sequences**: \"Create a character and illustrate them across 5 story beats\"\n\n### Multi-Image Composition\n\nBlend elements from multiple reference images:\n\n- **Style Fusion**: \"Combine the color palette of image A with the composition of image B\"\n- **Character Placement**: \"Place this person into a new environment while preserving their likeness\"\n- **Product Mockups**: \"Put this product into a lifestyle setting\"\n\n### Image Editing\n\nTransform and enhance existing images:\n\n- **Style Transfer**: \"Transform this photo into a Studio Ghibli illustration\"\n- **Background Swap**: \"Place this product on a clean marble surface\"\n- **Enhancement**: \"Add dramatic lighting and cinematic color grading\"\n- **Modification**: \"Change the season from summer to winter in this landscape\"\n\n---\n\n## Image Specifications\n\n| Aspect | Options |\n|--------|---------|\n| **Aspect Ratios** | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9 |\n| **Sizes** | 1K (~1024px), 2K (~2048px), 4K (~4096px) |\n| **Styles** | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector |\n\n---\n\n## Choosing Mode & Tier\n\n| Scenario | Recommended |\n|----------|-------------|\n| Quick generations and edits | `chat_mode=\"agent\"` (defaults to the `\"flash\"` tier) |\n| Large sets with strict brand guidelines | `chat_mode=\"agent\", chat_tier=\"max\"` |\n\n**The flash tier is the default and handles most image work well** — fast and economical. **Upgrade to `chat_tier=\"max\"`** when quality disappoints or the work is genuinely complex: just re-run the same prompt with `chat_tier=\"max\"`.\n\nAgent Team (`chat_mode=\"team\"`) is reserved for deep research — don't use it for image work.\n\n---\n\n## Tips for Better Images\n\n1. **Be descriptive**: \"Woman in office\" → \"Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light\"\n\n2. **Specify style**: \"photorealistic\", \"digital illustration\", \"watercolor\", \"anime\"\n\n3. **Describe lighting**: \"Soft natural light\", \"dramatic side lighting\", \"golden hour glow\"\n\n4. **For character consistency**: Describe the character in detail first, then reference \"the same character\" in subsequent prompts.\n\n5. **Include composition**: \"Rule of thirds\", \"close-up portrait\", \"wide establishing shot\"\n\n---\n\n## If CellCog is not installed\n\n**Claude Code, Cursor, Codex + 70 more agents:** `npx skills add cellcog/skills --skill cellcog`\n**OpenClaw:** `clawhub install cellcog`\n**CellCog plugin users:** run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool)\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.13:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"nano-banana-image-cellcog\",\n  \"version\": \"1.0.13\",\n  \"publishedAt\": 1787536112375\n}\n\nFile v1.0.13:skill-card.md\n\n## Description:\n\nAI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[cellcog](https://clawhub.ai/user/cellcog)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers, designers, and agent users use this skill to request multi-image generation, image editing, character-consistent visual sequences, and production-oriented image compositions through CellCog.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts or reference images may be sent to CellCog as an external image-generation provider.\n\nMitigation: Confirm the provider is acceptable for the intended data before use, and avoid sending sensitive prompts or images unless approved.\n\nRisk: The skill requires CELLCOG_API_KEY for provider access.\n\nMitigation: Store the API key in the agent environment or secret manager and do not commit it to project files.\n\nRisk: The skill depends on the separate cellcog package for exact SDK behavior.\n\nMitigation: Review the cellcog dependency and its documentation before deployment in controlled environments.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/cellcog/skills/nano-banana-image-cellcog)\n- [CellCog](https://cellcog.ai)\n\n## Skill Output:\n\n**Output Type(s):** [Guidance, Code, Shell commands, Configuration]\n\n**Output Format:** [Markdown with Python and shell code blocks]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May initiate external CellCog image-generation requests that require CELLCOG_API_KEY.]\n\n## Skill Version(s):\n\n1.0.13 (source: release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.12: 3 files, 4034 bytes\n\nFiles: skill-card.md (2218b), SKILL.md (5245b), _meta.json (145b)\n\nFile v1.0.12:SKILL.md\n\n---\nname: nano-banana-image-cellcog\ndescription: \"AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation.\"\nmetadata:\n  openclaw:\n    emoji: \"🍌\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Nano Banana Image — Nano Banana × CellCog\n\n**Nano Banana × CellCog.** Complex multi-image jobs, executed perfectly, from a single prompt.\n\nNano 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.\n\n**What CellCog adds on top of Nano Banana:**\n\n```\nReasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery\n```\n\nCellCog'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.\"\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Create\n\n### Photorealistic Image Generation\n\nCreate stunning images from text descriptions:\n\n- **Portraits**: \"Create a professional headshot with warm studio lighting\"\n- **Product Shots**: \"Generate a hero image for a premium smartwatch on a dark surface\"\n- **Scenes**: \"Create a cozy autumn café interior with morning light\"\n- **Food Photography**: \"Generate an overhead shot of a colorful Buddha bowl\"\n\n### Character Consistency\n\nNano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:\n\n- **Character Series**: \"Create a tech entrepreneur character, then show them in 4 different scenes\"\n- **Brand Mascots**: \"Design a mascot and generate it in multiple poses and contexts\"\n- **Story Sequences**: \"Create a character and illustrate them across 5 story beats\"\n\n### Multi-Image Composition\n\nBlend elements from multiple reference images:\n\n- **Style Fusion**: \"Combine the color palette of image A with the composition of image B\"\n- **Character Placement**: \"Place this person into a new environment while preserving their likeness\"\n- **Product Mockups**: \"Put this product into a lifestyle setting\"\n\n### Image Editing\n\nTransform and enhance existing images:\n\n- **Style Transfer**: \"Transform this photo into a Studio Ghibli illustration\"\n- **Background Swap**: \"Place this product on a clean marble surface\"\n- **Enhancement**: \"Add dramatic lighting and cinematic color grading\"\n- **Modification**: \"Change the season from summer to winter in this landscape\"\n\n---\n\n## Image Specifications\n\n| Aspect | Options |\n|--------|---------|\n| **Aspect Ratios** | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9 |\n| **Sizes** | 1K (~1024px), 2K (~2048px), 4K (~4096px) |\n| **Styles** | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector |\n\n---\n\n## Chat Mode\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single images, quick edits | `\"agent\"` |\n| Character-consistent series, complex compositions | `\"agent\"` |\n| Large sets with brand guidelines | `\"agent team\"` |\n\n**Use `\"agent\"` for most image work.**\n\n---\n\n## Tips for Better Images\n\n1. **Be descriptive**: \"Woman in office\" → \"Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light\"\n\n2. **Specify style**: \"photorealistic\", \"digital illustration\", \"watercolor\", \"anime\"\n\n3. **Describe lighting**: \"Soft natural light\", \"dramatic side lighting\", \"golden hour glow\"\n\n4. **For character consistency**: Describe the character in detail first, then reference \"the same character\" in subsequent prompts.\n\n5. **Include composition**: \"Rule of thirds\", \"close-up portrait\", \"wide establishing shot\"\n\n---\n\n## If CellCog is not installed\n\n**Claude Code, Cursor, Codex + 70 more agents:** `npx skills add cellcog/skills --skill cellcog`\n**OpenClaw:** `clawhub install cellcog`\n**CellCog plugin users:** run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool)\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.12:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"nano-banana-image-cellcog\",\n  \"version\": \"1.0.12\",\n  \"publishedAt\": 1785737316029\n}\n\nFile v1.0.12:skill-card.md\n\n## Description: <br>\nAI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[cellcog](https://clawhub.ai/user/cellcog) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and creative teams use this skill to ask an agent to generate, edit, and plan coherent image sets through CellCog and Nano Banana workflows. It is aimed at multi-image projects such as product shots, character-consistent series, story sequences, and reference-based image edits. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill requires a CELLCOG_API_KEY and uses an external CellCog service for image work. <br>\nMitigation: Confirm the publisher is trusted before installation and provide the API key only in an environment where CellCog use is approved. <br>\nRisk: Image prompts, reference assets, private images, or sensitive brand material may be sent to CellCog. <br>\nMitigation: Avoid submitting private or sensitive assets unless CellCog's terms and data handling meet the intended use case. <br>\n\n\n## Reference(s): <br>\n- [CellCog homepage](https://cellcog.ai) <br>\n- [ClawHub skill page](https://clawhub.ai/cellcog/skills/nano-banana-image-cellcog) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown guidance with Python and shell command snippets] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May require CELLCOG_API_KEY and the cellcog dependency; image prompts and reference assets may be sent to CellCog.] <br>\n\n## Skill Version(s): <br>\n1.0.12 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.11: 3 files, 3964 bytes\n\nFiles: skill-card.md (2111b), SKILL.md (5170b), _meta.json (145b)\n\nFile v1.0.11:SKILL.md\n\n---\nname: nano-banana-image-cellcog\ndescription: \"AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation.\"\nmetadata:\n  openclaw:\n    emoji: \"🍌\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Nano Banana Image — Nano Banana × CellCog\n\n**Nano Banana × CellCog.** Complex multi-image jobs, executed perfectly, from a single prompt.\n\nNano 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.\n\n**What CellCog adds on top of Nano Banana:**\n\n```\nReasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery\n```\n\nCellCog'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.\"\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Create\n\n### Photorealistic Image Generation\n\nCreate stunning images from text descriptions:\n\n- **Portraits**: \"Create a professional headshot with warm studio lighting\"\n- **Product Shots**: \"Generate a hero image for a premium smartwatch on a dark surface\"\n- **Scenes**: \"Create a cozy autumn café interior with morning light\"\n- **Food Photography**: \"Generate an overhead shot of a colorful Buddha bowl\"\n\n### Character Consistency\n\nNano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:\n\n- **Character Series**: \"Create a tech entrepreneur character, then show them in 4 different scenes\"\n- **Brand Mascots**: \"Design a mascot and generate it in multiple poses and contexts\"\n- **Story Sequences**: \"Create a character and illustrate them across 5 story beats\"\n\n### Multi-Image Composition\n\nBlend elements from multiple reference images:\n\n- **Style Fusion**: \"Combine the color palette of image A with the composition of image B\"\n- **Character Placement**: \"Place this person into a new environment while preserving their likeness\"\n- **Product Mockups**: \"Put this product into a lifestyle setting\"\n\n### Image Editing\n\nTransform and enhance existing images:\n\n- **Style Transfer**: \"Transform this photo into a Studio Ghibli illustration\"\n- **Background Swap**: \"Place this product on a clean marble surface\"\n- **Enhancement**: \"Add dramatic lighting and cinematic color grading\"\n- **Modification**: \"Change the season from summer to winter in this landscape\"\n\n---\n\n## Image Specifications\n\n| Aspect | Options |\n|--------|---------|\n| **Aspect Ratios** | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9 |\n| **Sizes** | 1K (~1024px), 2K (~2048px), 4K (~4096px) |\n| **Styles** | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector |\n\n---\n\n## Chat Mode\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single images, quick edits | `\"agent\"` |\n| Character-consistent series, complex compositions | `\"agent\"` |\n| Large sets with brand guidelines | `\"agent team\"` |\n\n**Use `\"agent\"` for most image work.**\n\n---\n\n## Tips for Better Images\n\n1. **Be descriptive**: \"Woman in office\" → \"Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light\"\n\n2. **Specify style**: \"photorealistic\", \"digital illustration\", \"watercolor\", \"anime\"\n\n3. **Describe lighting**: \"Soft natural light\", \"dramatic side lighting\", \"golden hour glow\"\n\n4. **For character consistency**: Describe the character in detail first, then reference \"the same character\" in subsequent prompts.\n\n5. **Include composition**: \"Rule of thirds\", \"close-up portrait\", \"wide establishing shot\"\n\n---\n\n## If CellCog is not installed\n\nRun `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate.\n**OpenClaw users:** Run `clawhub install cellcog` instead.\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.11:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"nano-banana-image-cellcog\",\n  \"version\": \"1.0.11\",\n  \"publishedAt\": 1785708330301\n}\n\nFile v1.0.11:skill-card.md\n\n## Description: <br>\nAI multi-image generation powered by CellCog via Nano Banana, supporting coherent multi-image prompts, character consistency across scenes, and production-grade composition. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[cellcog](https://clawhub.ai/user/cellcog) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and creative teams use this skill to ask an agent to create or edit image sets through CellCog, including photorealistic images, product mockups, character-consistent series, story sequences, and style or background transformations. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Image prompts, descriptions, and referenced visual material are sent to CellCog. <br>\nMitigation: Do not include secrets, regulated data, private client materials, or sensitive personal images unless approved and consistent with CellCog data handling terms. <br>\nRisk: The skill requires a CellCog API key in the environment. <br>\nMitigation: Store CELLCOG_API_KEY using the agent environment's secret-management mechanism and avoid pasting it into prompts or generated files. <br>\n\n\n## Reference(s): <br>\n- [CellCog](https://cellcog.ai) <br>\n- [Nano Banana Image on ClawHub](https://clawhub.ai/cellcog/skills/nano-banana-image-cellcog) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Guidance, Code, API Calls, Configuration instructions, Shell commands] <br>\n**Output Format:** [Markdown with Python and shell command examples] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Uses CellCog task prompts and may return generated image results or status text through the CellCog client.] <br>\n\n## Skill Version(s): <br>\n1.0.11 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.10: 3 files, 3892 bytes\n\nFiles: skill-card.md (2043b), SKILL.md (5170b), _meta.json (145b)\n\nFile v1.0.10:SKILL.md\n\n---\nname: nano-banana-image-cellcog\ndescription: \"AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation.\"\nmetadata:\n  openclaw:\n    emoji: \"🍌\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Nano Banana Image — Nano Banana × CellCog\n\n**Nano Banana × CellCog.** Complex multi-image jobs, executed perfectly, from a single prompt.\n\nNano 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.\n\n**What CellCog adds on top of Nano Banana:**\n\n```\nReasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery\n```\n\nCellCog'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.\"\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Create\n\n### Photorealistic Image Generation\n\nCreate stunning images from text descriptions:\n\n- **Portraits**: \"Create a professional headshot with warm studio lighting\"\n- **Product Shots**: \"Generate a hero image for a premium smartwatch on a dark surface\"\n- **Scenes**: \"Create a cozy autumn café interior with morning light\"\n- **Food Photography**: \"Generate an overhead shot of a colorful Buddha bowl\"\n\n### Character Consistency\n\nNano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:\n\n- **Character Series**: \"Create a tech entrepreneur character, then show them in 4 different scenes\"\n- **Brand Mascots**: \"Design a mascot and generate it in multiple poses and contexts\"\n- **Story Sequences**: \"Create a character and illustrate them across 5 story beats\"\n\n### Multi-Image Composition\n\nBlend elements from multiple reference images:\n\n- **Style Fusion**: \"Combine the color palette of image A with the composition of image B\"\n- **Character Placement**: \"Place this person into a new environment while preserving their likeness\"\n- **Product Mockups**: \"Put this product into a lifestyle setting\"\n\n### Image Editing\n\nTransform and enhance existing images:\n\n- **Style Transfer**: \"Transform this photo into a Studio Ghibli illustration\"\n- **Background Swap**: \"Place this product on a clean marble surface\"\n- **Enhancement**: \"Add dramatic lighting and cinematic color grading\"\n- **Modification**: \"Change the season from summer to winter in this landscape\"\n\n---\n\n## Image Specifications\n\n| Aspect | Options |\n|--------|---------|\n| **Aspect Ratios** | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9 |\n| **Sizes** | 1K (~1024px), 2K (~2048px), 4K (~4096px) |\n| **Styles** | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector |\n\n---\n\n## Chat Mode\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single images, quick edits | `\"agent\"` |\n| Character-consistent series, complex compositions | `\"agent\"` |\n| Large sets with brand guidelines | `\"agent team\"` |\n\n**Use `\"agent\"` for most image work.**\n\n---\n\n## Tips for Better Images\n\n1. **Be descriptive**: \"Woman in office\" → \"Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light\"\n\n2. **Specify style**: \"photorealistic\", \"digital illustration\", \"watercolor\", \"anime\"\n\n3. **Describe lighting**: \"Soft natural light\", \"dramatic side lighting\", \"golden hour glow\"\n\n4. **For character consistency**: Describe the character in detail first, then reference \"the same character\" in subsequent prompts.\n\n5. **Include composition**: \"Rule of thirds\", \"close-up portrait\", \"wide establishing shot\"\n\n---\n\n## If CellCog is not installed\n\nRun `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate.\n**OpenClaw users:** Run `clawhub install cellcog` instead.\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.10:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"nano-banana-image-cellcog\",\n  \"version\": \"1.0.10\",\n  \"publishedAt\": 1784259699124\n}\n\nFile v1.0.10:skill-card.md\n\n## Description: <br>\nAI multi-image generation powered by CellCog via Nano Banana for coherent image sets, character consistency across scenes, and production-grade composition. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[nitishgargiitd](https://clawhub.ai/user/nitishgargiitd) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and creative agents use this skill to route image-generation and image-editing tasks through CellCog for coherent multi-image projects, character-consistent series, and composed visual assets. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Prompts and provided images are sent to CellCog's service and may include sensitive content. <br>\nMitigation: Avoid sending sensitive private images unless CellCog's privacy and data-handling requirements fit the deployment. <br>\nRisk: The skill depends on a CellCog API key and access to the CellCog service. <br>\nMitigation: Store CELLCOG_API_KEY securely and verify CellCog access before relying on the skill in production workflows. <br>\n\n\n## Reference(s): <br>\n- [ClawHub release page](https://clawhub.ai/nitishgargiitd/skills/nano-banana-image-cellcog) <br>\n- [CellCog homepage](https://cellcog.ai) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown guidance with Python code examples and shell command setup notes] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; prompts and provided images are sent to CellCog's service.] <br>\n\n## Skill Version(s): <br>\n1.0.10 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.9: 3 files, 3824 bytes\n\nFiles: skill-card.md (1834b), SKILL.md (5148b), _meta.json (144b)\n\nFile v1.0.9:SKILL.md\n\n---\nname: banana-cog\ndescription: \"AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation.\"\nmetadata:\n  openclaw:\n    emoji: \"🍌\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Banana Cog — Nano Banana × CellCog\n\n**Nano Banana × CellCog.** Complex multi-image jobs, executed perfectly, from a single prompt.\n\nNano 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.\n\n**What CellCog adds on top of Nano Banana:**\n\n```\nReasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery\n```\n\nCellCog'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.\"\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Create\n\n### Photorealistic Image Generation\n\nCreate stunning images from text descriptions:\n\n- **Portraits**: \"Create a professional headshot with warm studio lighting\"\n- **Product Shots**: \"Generate a hero image for a premium smartwatch on a dark surface\"\n- **Scenes**: \"Create a cozy autumn café interior with morning light\"\n- **Food Photography**: \"Generate an overhead shot of a colorful Buddha bowl\"\n\n### Character Consistency\n\nNano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:\n\n- **Character Series**: \"Create a tech entrepreneur character, then show them in 4 different scenes\"\n- **Brand Mascots**: \"Design a mascot and generate it in multiple poses and contexts\"\n- **Story Sequences**: \"Create a character and illustrate them across 5 story beats\"\n\n### Multi-Image Composition\n\nBlend elements from multiple reference images:\n\n- **Style Fusion**: \"Combine the color palette of image A with the composition of image B\"\n- **Character Placement**: \"Place this person into a new environment while preserving their likeness\"\n- **Product Mockups**: \"Put this product into a lifestyle setting\"\n\n### Image Editing\n\nTransform and enhance existing images:\n\n- **Style Transfer**: \"Transform this photo into a Studio Ghibli illustration\"\n- **Background Swap**: \"Place this product on a clean marble surface\"\n- **Enhancement**: \"Add dramatic lighting and cinematic color grading\"\n- **Modification**: \"Change the season from summer to winter in this landscape\"\n\n---\n\n## Image Specifications\n\n| Aspect | Options |\n|--------|---------|\n| **Aspect Ratios** | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9 |\n| **Sizes** | 1K (~1024px), 2K (~2048px), 4K (~4096px) |\n| **Styles** | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector |\n\n---\n\n## Chat Mode\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single images, quick edits | `\"agent\"` |\n| Character-consistent series, complex compositions | `\"agent\"` |\n| Large sets with brand guidelines | `\"agent team\"` |\n\n**Use `\"agent\"` for most image work.**\n\n---\n\n## Tips for Better Images\n\n1. **Be descriptive**: \"Woman in office\" → \"Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light\"\n\n2. **Specify style**: \"photorealistic\", \"digital illustration\", \"watercolor\", \"anime\"\n\n3. **Describe lighting**: \"Soft natural light\", \"dramatic side lighting\", \"golden hour glow\"\n\n4. **For character consistency**: Describe the character in detail first, then reference \"the same character\" in subsequent prompts.\n\n5. **Include composition**: \"Rule of thirds\", \"close-up portrait\", \"wide establishing shot\"\n\n---\n\n## If CellCog is not installed\n\nRun `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate.\n**OpenClaw users:** Run `clawhub install cellcog` instead.\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.9:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"nano-banana-image-cellcog\",\n  \"version\": \"1.0.9\",\n  \"publishedAt\": 1776925106951\n}\n\nFile v1.0.9:skill-card.md\n\n## Description: <br>\nBanana Cog helps agents create or edit coherent multi-image projects through CellCog and Nano Banana, including character-consistent scenes, product visuals, and styled image sets. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[nitishgargiitd](https://clawhub.ai/user/nitishgargiitd) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and creative teams use Banana Cog to ask an agent for image generation and image editing workflows, including character-consistent series, product shots, reference-image compositions, and larger visual projects. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Prompts, reference images, and generated outputs may be sent to CellCog's service and require a sensitive API key. <br>\nMitigation: Use a revocable CELLCOG_API_KEY, send only content appropriate for CellCog processing, and pin the cellcog package version in controlled environments. <br>\n\n\n## Reference(s): <br>\n- [CellCog homepage](https://cellcog.ai) <br>\n- [Banana Cog on ClawHub](https://clawhub.ai/nitishgargiitd/banana-cog) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [guidance, code, shell commands, configuration] <br>\n**Output Format:** [Markdown with Python and shell code blocks] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May call the CellCog SDK and requires python3 plus CELLCOG_API_KEY.] <br>\n\n## Skill Version(s): <br>\n1.0.9 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.8: 2 files, 2769 bytes\n\nFiles: SKILL.md (5083b), _meta.json (144b)\n\nFile v1.0.8:SKILL.md\n\n---\nname: banana-cog\ndescription: \"AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation.\"\nmetadata:\n  openclaw:\n    emoji: \"🍌\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Banana Cog — Nano Banana × CellCog\n\n**Nano Banana × CellCog.** Complex multi-image jobs, executed perfectly, from a single prompt.\n\nNano 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.\n\n**What CellCog adds on top of Nano Banana:**\n\n```\nReasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery\n```\n\nCellCog'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.\"\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Create\n\n### Photorealistic Image Generation\n\nCreate stunning images from text descriptions:\n\n- **Portraits**: \"Create a professional headshot with warm studio lighting\"\n- **Product Shots**: \"Generate a hero image for a premium smartwatch on a dark surface\"\n- **Scenes**: \"Create a cozy autumn café interior with morning light\"\n- **Food Photography**: \"Generate an overhead shot of a colorful Buddha bowl\"\n\n### Character Consistency\n\nNano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:\n\n- **Character Series**: \"Create a tech entrepreneur character, then show them in 4 different scenes\"\n- **Brand Mascots**: \"Design a mascot and generate it in multiple poses and contexts\"\n- **Story Sequences**: \"Create a character and illustrate them across 5 story beats\"\n\n### Multi-Image Composition\n\nBlend elements from multiple reference images:\n\n- **Style Fusion**: \"Combine the color palette of image A with the composition of image B\"\n- **Character Placement**: \"Place this person into a new environment while preserving their likeness\"\n- **Product Mockups**: \"Put this product into a lifestyle setting\"\n\n### Image Editing\n\nTransform and enhance existing images:\n\n- **Style Transfer**: \"Transform this photo into a Studio Ghibli illustration\"\n- **Background Swap**: \"Place this product on a clean marble surface\"\n- **Enhancement**: \"Add dramatic lighting and cinematic color grading\"\n- **Modification**: \"Change the season from summer to winter in this landscape\"\n\n---\n\n## Image Specifications\n\n| Aspect | Options |\n|--------|---------|\n| **Aspect Ratios** | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9 |\n| **Sizes** | 1K (~1024px), 2K (~2048px), 4K (~4096px) |\n| **Styles** | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector |\n\n---\n\n## Chat Mode\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single images, quick edits | `\"agent\"` |\n| Character-consistent series, complex compositions | `\"agent\"` |\n| Large sets with brand guidelines | `\"agent team\"` |\n\n**Use `\"agent\"` for most image work.**\n\n---\n\n## Tips for Better Images\n\n1. **Be descriptive**: \"Woman in office\" → \"Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light\"\n\n2. **Specify style**: \"photorealistic\", \"digital illustration\", \"watercolor\", \"anime\"\n\n3. **Describe lighting**: \"Soft natural light\", \"dramatic side lighting\", \"golden hour glow\"\n\n4. **For character consistency**: Describe the character in detail first, then reference \"the same character\" in subsequent prompts.\n\n5. **Include composition**: \"Rule of thirds\", \"close-up portrait\", \"wide establishing shot\"\n\n---\n\n## If CellCog is not installed\n\nRun `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate.\n**OpenClaw users:** Run `clawhub install cellcog` instead.\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.8:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"nano-banana-image-cellcog\",\n  \"version\": \"1.0.8\",\n  \"publishedAt\": 1776187892420\n}\n\nArchive v1.0.7: 2 files, 2779 bytes\n\nFiles: SKILL.md (5145b), _meta.json (144b)\n\nFile v1.0.7:SKILL.md\n\n---\nname: banana-cog\ndescription: \"Banana Cog × CellCog. Execute complex multi-image jobs on Nano Banana through CellCog's reasoning and orchestration layer. 10-20 coherent images in one prompt, character consistency across scenes, and production-grade composition — accessible to any agent. Nano Banana AI, Nano Banana Pro, Gemini image generation.\"\nmetadata:\n  openclaw:\n    emoji: \"🍌\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Banana Cog — Nano Banana × CellCog\n\n**Nano Banana × CellCog.** Complex multi-image jobs, executed perfectly, from a single prompt.\n\nNano 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.\n\n**What CellCog adds on top of Nano Banana:**\n\n```\nReasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery\n```\n\nCellCog'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.\"\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**Cursor / Claude Code / Other agents (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Create\n\n### Photorealistic Image Generation\n\nCreate stunning images from text descriptions:\n\n- **Portraits**: \"Create a professional headshot with warm studio lighting\"\n- **Product Shots**: \"Generate a hero image for a premium smartwatch on a dark surface\"\n- **Scenes**: \"Create a cozy autumn café interior with morning light\"\n- **Food Photography**: \"Generate an overhead shot of a colorful Buddha bowl\"\n\n### Character Consistency\n\nNano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:\n\n- **Character Series**: \"Create a tech entrepreneur character, then show them in 4 different scenes\"\n- **Brand Mascots**: \"Design a mascot and generate it in multiple poses and contexts\"\n- **Story Sequences**: \"Create a character and illustrate them across 5 story beats\"\n\n### Multi-Image Composition\n\nBlend elements from multiple reference images:\n\n- **Style Fusion**: \"Combine the color palette of image A with the composition of image B\"\n- **Character Placement**: \"Place this person into a new environment while preserving their likeness\"\n- **Product Mockups**: \"Put this product into a lifestyle setting\"\n\n### Image Editing\n\nTransform and enhance existing images:\n\n- **Style Transfer**: \"Transform this photo into a Studio Ghibli illustration\"\n- **Background Swap**: \"Place this product on a clean marble surface\"\n- **Enhancement**: \"Add dramatic lighting and cinematic color grading\"\n- **Modification**: \"Change the season from summer to winter in this landscape\"\n\n---\n\n## Image Specifications\n\n| Aspect | Options |\n|--------|---------|\n| **Aspect Ratios** | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9 |\n| **Sizes** | 1K (~1024px), 2K (~2048px), 4K (~4096px) |\n| **Styles** | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector |\n\n---\n\n## Chat Mode\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single images, quick edits | `\"agent\"` |\n| Character-consistent series, complex compositions | `\"agent\"` |\n| Large sets with brand guidelines | `\"agent team\"` |\n\n**Use `\"agent\"` for most image work.**\n\n---\n\n## Tips for Better Images\n\n1. **Be descriptive**: \"Woman in office\" → \"Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light\"\n\n2. **Specify style**: \"photorealistic\", \"digital illustration\", \"watercolor\", \"anime\"\n\n3. **Describe lighting**: \"Soft natural light\", \"dramatic side lighting\", \"golden hour glow\"\n\n4. **For character consistency**: Describe the character in detail first, then reference \"the same character\" in subsequent prompts.\n\n5. **Include composition**: \"Rule of thirds\", \"close-up portrait\", \"wide establishing shot\"\n\n---\n\n## If CellCog is not installed\n\n**Cursor:** Run `/cellcog-setup` to install and authenticate.\n**OpenClaw:** Run `clawhub install cellcog` for SDK setup.\n**Other agents:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.7:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"nano-banana-image-cellcog\",\n  \"version\": \"1.0.7\",\n  \"publishedAt\": 1776042014314\n}\n\nArchive v1.0.6: 2 files, 2684 bytes\n\nFiles: SKILL.md (4896b), _meta.json (144b)\n\nFile v1.0.6:SKILL.md\n\n---\nname: banana-cog\ndescription: \"Powered by CellCog. Multi-image generation via Nano Banana. 10-20 coherent images in one prompt with character consistency across scenes. Nano Banana AI and Gemini image generation.\"\nmetadata:\n  openclaw:\n    emoji: \"🍌\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Banana Cog — Nano Banana × CellCog\n\n**Nano Banana × CellCog.** Complex multi-image jobs, executed perfectly, from a single prompt.\n\nNano 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.\n\n**What CellCog adds on top of Nano Banana:**\n\n```\nReasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery\n```\n\nCellCog'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.\"\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**Cursor / Claude Code / Other agents (blocks until done):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Create\n\n### Photorealistic Image Generation\n\nCreate stunning images from text descriptions:\n\n- **Portraits**: \"Create a professional headshot with warm studio lighting\"\n- **Product Shots**: \"Generate a hero image for a premium smartwatch on a dark surface\"\n- **Scenes**: \"Create a cozy autumn café interior with morning light\"\n- **Food Photography**: \"Generate an overhead shot of a colorful Buddha bowl\"\n\n### Character Consistency\n\nNano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:\n\n- **Character Series**: \"Create a tech entrepreneur character, then show them in 4 different scenes\"\n- **Brand Mascots**: \"Design a mascot and generate it in multiple poses and contexts\"\n- **Story Sequences**: \"Create a character and illustrate them across 5 story beats\"\n\n### Multi-Image Composition\n\nBlend elements from multiple reference images:\n\n- **Style Fusion**: \"Combine the color palette of image A with the composition of image B\"\n- **Character Placement**: \"Place this person into a new environment while preserving their likeness\"\n- **Product Mockups**: \"Put this product into a lifestyle setting\"\n\n### Image Editing\n\nTransform and enhance existing images:\n\n- **Style Transfer**: \"Transform this photo into a Studio Ghibli illustration\"\n- **Background Swap**: \"Place this product on a clean marble surface\"\n- **Enhancement**: \"Add dramatic lighting and cinematic color grading\"\n- **Modification**: \"Change the season from summer to winter in this landscape\"\n\n---\n\n## Image Specifications\n\n| Aspect | Options |\n|--------|---------|\n| **Aspect Ratios** | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9 |\n| **Sizes** | 1K (~1024px), 2K (~2048px), 4K (~4096px) |\n| **Styles** | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector |\n\n---\n\n## Chat Mode\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single images, quick edits | `\"agent\"` |\n| Character-consistent series, complex compositions | `\"agent\"` |\n| Large sets with brand guidelines | `\"agent team\"` |\n\n**Use `\"agent\"` for most image work.**\n\n---\n\n## Tips for Better Images\n\n1. **Be descriptive**: \"Woman in office\" → \"Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light\"\n\n2. **Specify style**: \"photorealistic\", \"digital illustration\", \"watercolor\", \"anime\"\n\n3. **Describe lighting**: \"Soft natural light\", \"dramatic side lighting\", \"golden hour glow\"\n\n4. **For character consistency**: Describe the character in detail first, then reference \"the same character\" in subsequent prompts.\n\n5. **Include composition**: \"Rule of thirds\", \"close-up portrait\", \"wide establishing shot\"\n\n---\n\n## If CellCog is not installed\n\n**Cursor:** Run `/cellcog-setup` to install and authenticate.\n**OpenClaw:** Run `clawhub install cellcog` for SDK setup.\n**Other agents:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.6:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"nano-banana-image-cellcog\",\n  \"version\": \"1.0.6\",\n  \"publishedAt\": 1776036888391\n}\n\nArchive v1.0.5: 2 files, 2684 bytes\n\nFiles: SKILL.md (4983b), _meta.json (144b)\n\nFile v1.0.5:SKILL.md\n\n---\nname: banana-cog\ndescription: \"Banana Cog × CellCog. Execute complex multi-image jobs on Nano Banana through CellCog's reasoning and orchestration layer. 10-20 coherent images in one prompt, character consistency across scenes, and production-grade composition — accessible to any agent. Nano Banana AI, Nano Banana Pro, Gemini image generation.\"\nmetadata:\n  openclaw:\n    emoji: \"🍌\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n\n# Banana Cog — Nano Banana × CellCog\n\n**Nano Banana × CellCog.** Complex multi-image jobs, executed perfectly, from a single prompt.\n\nNano 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.\n\n**What CellCog adds on top of Nano Banana:**\n\n```\nReasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery\n```\n\nCellCog'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.\"\n\n---\n\n## Prerequisites\n\nThis skill requires the `cellcog` skill for SDK setup and API calls.\n\n```bash\nclawhub install cellcog\n```\n\n**Read the cellcog skill first** for SDK setup. This skill shows you what's possible.\n\n**OpenClaw agents (fire-and-forget — recommended for long tasks):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",  # OpenClaw only\n    task_label=\"my-task\",\n    chat_mode=\"agent\",  # See cellcog skill for all modes\n)\n```\n\n**All other agents (blocks until done):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\nSee the **cellcog** mothership skill for complete SDK API reference — delivery modes, timeouts, file handling, and more.\n\n---\n\n## What You Can Create\n\n### Photorealistic Image Generation\n\nCreate stunning images from text descriptions:\n\n- **Portraits**: \"Create a professional headshot with warm studio lighting\"\n- **Product Shots**: \"Generate a hero image for a premium smartwatch on a dark surface\"\n- **Scenes**: \"Create a cozy autumn café interior with morning light\"\n- **Food Photography**: \"Generate an overhead shot of a colorful Buddha bowl\"\n\n### Character Consistency\n\nNano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:\n\n- **Character Series**: \"Create a tech entrepreneur character, then show them in 4 different scenes\"\n- **Brand Mascots**: \"Design a mascot and generate it in multiple poses and contexts\"\n- **Story Sequences**: \"Create a character and illustrate them across 5 story beats\"\n\n### Multi-Image Composition\n\nBlend elements from multiple reference images:\n\n- **Style Fusion**: \"Combine the color palette of image A with the composition of image B\"\n- **Character Placement**: \"Place this person into a new environment while preserving their likeness\"\n- **Product Mockups**: \"Put this product into a lifestyle setting\"\n\n### Image Editing\n\nTransform and enhance existing images:\n\n- **Style Transfer**: \"Transform this photo into a Studio Ghibli illustration\"\n- **Background Swap**: \"Place this product on a clean marble surface\"\n- **Enhancement**: \"Add dramatic lighting and cinematic color grading\"\n- **Modification**: \"Change the season from summer to winter in this landscape\"\n\n---\n\n## Image Specifications\n\n| Aspect | Options |\n|--------|---------|\n| **Aspect Ratios** | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9 |\n| **Sizes** | 1K (~1024px), 2K (~2048px), 4K (~4096px) |\n| **Styles** | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector |\n\n---\n\n## Chat Mode\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single images, quick edits | `\"agent\"` |\n| Character-consistent series, complex compositions | `\"agent\"` |\n| Large sets with brand guidelines | `\"agent team\"` |\n\n**Use `\"agent\"` for most image work.**\n\n---\n\n## Tips for Better Images\n\n1. **Be descriptive**: \"Woman in office\" → \"Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light\"\n\n2. **Specify style**: \"photorealistic\", \"digital illustration\", \"watercolor\", \"anime\"\n\n3. **Describe lighting**: \"Soft natural light\", \"dramatic side lighting\", \"golden hour glow\"\n\n4. **For character consistency**: Describe the character in detail first, then reference \"the same character\" in subsequent prompts.\n\n5. **Include composition**: \"Rule of thirds\", \"close-up portrait\", \"wide establishing shot\"\n\nFile v1.0.5:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"nano-banana-image-cellcog\",\n  \"version\": \"1.0.5\",\n  \"publishedAt\": 1775627847083\n}","readmeExcerpt":"Skill: Nano Banana Image Owner: cellcog Summary: AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation. Tags: latest:1.0.14 Version history: v1.0.14 | 2026-08-24T02:03:56.200Z | user Content updated. v1.0.13 | 2026-08-24T01:48:32.375Z | user Content u","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"Reasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery"},{"language":"python","snippet":"result = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)"},{"language":"python","snippet":"from cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])"},{"language":"text","snippet":"Reasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery"},{"language":"python","snippet":"result = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)"},{"language":"python","snippet":"from cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: nano-banana-image-cellcog\ndescription: \"AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation.\"\nmetadata:\n  openclaw:\n    emoji: \"🍌\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Nano Banana Image — Nano Banana × CellCog\n\n**Nano Banana × CellCog.** Complex multi-image jobs, executed perfectly, from a single prompt.\n\nNano 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.\n\n**What CellCog adds on top of Nano Banana:**\n\n```\nReasoning → Scene Planning → Character Design → Image Generation\n    → Consistency Verification → Composition Review → Delivery\n```\n\nCellCog'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.\"\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Create\n\n### Photorealistic Image Generation\n\nCreate stunning images from text descriptions:\n\n- **Portraits**: \"Create a professional headshot with warm studio lighting\"\n- **Product Shots**: \"Generate a hero image for a premium smartwatch on a dark surface\"\n- **Scenes**: \"Create a cozy autumn café interior with morning light\"\n- **Food Photography**: \"Generate an overhead shot of a colorful Buddha bowl\"\n\n### Character Consistency\n\nNano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:\n\n- **Character Series**: \"Create a tech entrepreneur character, then show them in 4 different scenes\"\n- **Brand Mascots**: \"Design a mascot and generate it in multiple poses and contexts\"\n- **Story Sequences**: \"Create a character and illustrate them across 5 story beats\"\n\n### Multi-Image Composition\n\nBlend"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"nano-banana-image-cellcog\",\n  \"version\": \"1.0.14\",\n  \"publishedAt\": 1787537036200\n}"},{"path":"skill-card.md","content":"## Description:\n\nNano Banana Image helps agents use CellCog with Nano Banana to generate and edit coherent multi-image visual projects with consistent characters and planned compositions.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[cellcog](https://clawhub.ai/user/cellcog)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers, creators, and agents use this skill to request image generation, image editing, character-consistent sequences, product mockups, and multi-image visual projects through CellCog.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill requires CELLCOG_API_KEY and may send prompts and uploaded reference images to the CellCog service.\n\nMitigation: Provide CELLCOG_API_KEY only in environments where the CellCog runtime needs it, and treat prompts and reference images as data shared with CellCog.\n\nRisk: Installation guidance includes unpinned third-party package or skill install commands.\n\nMitigation: Install only from official CellCog or OpenClaw sources, and prefer pinned versions or a reviewed environment when possible.\n\n## Reference(s):\n\n- [Nano Banana Image on ClawHub](https://clawhub.ai/cellcog/skills/nano-banana-image-cellcog)\n- [CellCog](https://cellcog.ai)\n- [CellCog publisher profile](https://clawhub.ai/user/cellcog)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration]\n\n**Output Format:** [Markdown with Python and shell code blocks]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Guidance may include image prompts, CellCog SDK calls, installation commands, and configuration steps requiring CELLCOG_API_KEY.]\n\n## Skill Version(s):\n\n1.0.14 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation. Skill: Nano Banana Image Owner: cellcog Summary: AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation. Tags: latest:1.0.14 Version history: v1.0.14 | 2026-08-24T02:03:56.200Z | user Content updated. v1.0.13 | 2026-08-24T01:48:32.375Z | user Content u","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":1184,"uniquenessScore":50,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-09T12:05:44.930Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-09T12:05:44.930Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-10T01:45:00.775Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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