Crawler Summary

nano-banana answer-first brief

Generate images using Nano Banana Pro (Google Generative AI). Use this skill when the user asks to create, generate, or make images of any kind - illustrations, photos, product mockups, logos, scenes, textures, UI mockups, or any visual content. Handles style selection, prompt building, generation, and preview. --- name: nano-banana description: Generate images using Nano Banana Pro (Google Generative AI). Use this skill when the user asks to create, generate, or make images of any kind - illustrations, photos, product mockups, logos, scenes, textures, UI mockups, or any visual content. Handles style selection, prompt building, generation, and preview. license: MIT metadata: author: CarolMonroe22 version: "1.0.0" tags: - ai Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

nano-banana is best for any workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 89/100

nano-banana

Generate images using Nano Banana Pro (Google Generative AI). Use this skill when the user asks to create, generate, or make images of any kind - illustrations, photos, product mockups, logos, scenes, textures, UI mockups, or any visual content. Handles style selection, prompt building, generation, and preview. --- name: nano-banana description: Generate images using Nano Banana Pro (Google Generative AI). Use this skill when the user asks to create, generate, or make images of any kind - illustrations, photos, product mockups, logos, scenes, textures, UI mockups, or any visual content. Handles style selection, prompt building, generation, and preview. license: MIT metadata: author: CarolMonroe22 version: "1.0.0" tags: - ai

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Carolmonroe22

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Setup snapshot

git clone https://github.com/CarolMonroe22/nano-banana.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Carolmonroe22

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 25, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

echo 'export GOOGLE_AI_API_KEY="your-key-here"' >> ~/.zshrc
   source ~/.zshrc

text

[IMAGE TYPE], [AESTHETIC/STYLE], [COLOR PALETTE].

[CONCEPT DESCRIPTION]

[STYLE CONSTRAINTS]. [ASPECT RATIO]

text

Whimsical hand-drawn watercolor illustration, soft [USER_COLOR] palette with warm accents.

Simple composition with ONE/TWO main elements:
[CONCEPT]

Style: Simple and clean like Notion illustrations. NOT complex. NOT busy.
NO text. Cream background. Square 1:1.

text

MONOCHROMATIC [USER_COLOR] illustration - use ONLY shades of [USER_HEX] throughout. Ultra high quality.

[CONCEPT]

Style: Clean lines, modern like Notion/Slack. NO other colors.

text

Detailed flat illustration in [USER_COLOR] palette, editorial quality.

[CONCEPT]

Style: Clean linework. Modern editorial feel. High detail.
Wide format 16:9.

text

Minimal line art, thin black outlines with [USER_COLOR] as single accent color.

[CONCEPT]

Style: Minimal, lots of whitespace. NO fills except accent. White background.

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Generate images using Nano Banana Pro (Google Generative AI). Use this skill when the user asks to create, generate, or make images of any kind - illustrations, photos, product mockups, logos, scenes, textures, UI mockups, or any visual content. Handles style selection, prompt building, generation, and preview. --- name: nano-banana description: Generate images using Nano Banana Pro (Google Generative AI). Use this skill when the user asks to create, generate, or make images of any kind - illustrations, photos, product mockups, logos, scenes, textures, UI mockups, or any visual content. Handles style selection, prompt building, generation, and preview. license: MIT metadata: author: CarolMonroe22 version: "1.0.0" tags: - ai

Full README

name: nano-banana description: Generate images using Nano Banana Pro (Google Generative AI). Use this skill when the user asks to create, generate, or make images of any kind - illustrations, photos, product mockups, logos, scenes, textures, UI mockups, or any visual content. Handles style selection, prompt building, generation, and preview. license: MIT metadata: author: CarolMonroe22 version: "1.0.0" tags: - ai - images - google-ai - illustrations - design

Nano Banana Pro

Generate images using the Nano Banana Pro model via Google Generative AI API. Supports any image type: illustrations, realistic photos, product mockups, logos, scenes, patterns, UI concepts, and more.

Setup (first time only)

If GOOGLE_AI_API_KEY is not set:

  1. Go to https://aistudio.google.com/apikey
  2. Click "Create API Key" (free, no credit card needed)
  3. Add to shell profile:
    echo 'export GOOGLE_AI_API_KEY="your-key-here"' >> ~/.zshrc
    source ~/.zshrc
    

Interactive Workflow

  1. Ask for concept - What image do you want to create?
  2. Ask for type - Illustration, photo, mockup, logo, etc.
  3. Ask for model - Show options with cost (see Models below)
  4. Ask for size - What dimensions/aspect ratio?
  5. Ask for style - User describes their aesthetic, colors, or picks a preset
  6. Build prompt - Combine type + style + concept + size into a generation prompt
  7. Generate - Run scripts/generate.py
  8. Preview - Open in default viewer

Models & Cost

Present these options and confirm cost before generating:

| Model | Flag | Cost/image | Best for | |-------|------|-----------|----------| | Nano Banana Pro | -m nano-banana-pro | ~$0.13 | Best quality, recommended | | Gemini 2.5 Flash | -m gemini-2.5-flash | ~$0.05 | Fast, good quality, budget | | Gemini 2.0 Flash | -m gemini-2.0-flash | ~$0.03 | Fastest, lower quality |

Always confirm: "This will cost approximately $X.XX. Proceed?"

Sizes

Ask user what size they need. Add the size instruction to the END of the prompt:

| Size | Use case | Prompt suffix | |------|----------|---------------| | Square (1:1) | Blog posts, social | Square 1:1 aspect ratio. | | Wide (16:9) | Headers, banners, YouTube | Wide format 16:9 aspect ratio. | | Portrait (9:16) | Stories, mobile | Portrait 9:16 aspect ratio. | | Landscape (3:2) | Photos, cards | Landscape 3:2 aspect ratio. |

Building the Prompt

If user has brand/style preferences

Ask: "Do you have specific colors, aesthetic, or brand style you'd like?"

Use their answer to build the prompt with this structure:

[IMAGE TYPE], [AESTHETIC/STYLE], [COLOR PALETTE].

[CONCEPT DESCRIPTION]

[STYLE CONSTRAINTS]. [ASPECT RATIO]

Image Type Presets

Illustrations

Watercolor - Soft, whimsical, hand-drawn

Whimsical hand-drawn watercolor illustration, soft [USER_COLOR] palette with warm accents.

Simple composition with ONE/TWO main elements:
[CONCEPT]

Style: Simple and clean like Notion illustrations. NOT complex. NOT busy.
NO text. Cream background. Square 1:1.

Monochromatic - Single color, clean lines

MONOCHROMATIC [USER_COLOR] illustration - use ONLY shades of [USER_HEX] throughout. Ultra high quality.

[CONCEPT]

Style: Clean lines, modern like Notion/Slack. NO other colors.

Flat/Editorial - Detailed, informative

Detailed flat illustration in [USER_COLOR] palette, editorial quality.

[CONCEPT]

Style: Clean linework. Modern editorial feel. High detail.
Wide format 16:9.

Minimal line art - Simple outlines, one accent

Minimal line art, thin black outlines with [USER_COLOR] as single accent color.

[CONCEPT]

Style: Minimal, lots of whitespace. NO fills except accent. White background.

Photos / Realistic

Product photo - Clean, studio-style

Professional product photography, studio lighting, clean [white/colored] background.

[PRODUCT DESCRIPTION]

Ultra high quality, sharp focus, soft shadows. [ASPECT RATIO]

Lifestyle photo - Natural, contextual

Lifestyle photography, natural lighting, [warm/cool] tones.

[SCENE DESCRIPTION]

Authentic feel, shallow depth of field. [ASPECT RATIO]

Scene / Environment - Places, spaces

[Photorealistic/Cinematic] scene, [LIGHTING DESCRIPTION], [MOOD].

[SCENE DESCRIPTION]

High detail, professional photography quality. [ASPECT RATIO]

Design & Branding

Logo concept - Clean, symbolic

Minimalist logo design on white background. Clean vector style.

[BRAND/CONCEPT DESCRIPTION]

Simple, memorable, works at small sizes. NO text. Square 1:1.

UI mockup - Interface concepts

Clean UI design mockup, modern interface, [light/dark] theme.

[SCREEN/COMPONENT DESCRIPTION]

Style: Modern SaaS aesthetic, clean typography, subtle shadows. [ASPECT RATIO]

Pattern / Texture - Repeating visuals

Seamless [PATTERN TYPE] pattern, [USER_COLOR] palette.

[PATTERN DESCRIPTION]

Tileable, consistent spacing, high quality. Square 1:1.

Generation

Single image

python3 scripts/generate.py "<full_prompt>" -o ~/Desktop/<filename>.png -m <model> --open
  • -m selects the model (default: nano-banana-pro)
  • --open opens the image in the default viewer after generation
  • Use descriptive kebab-case filenames (e.g., laptop-notifications.png)
  • If user doesn't like the result, tweak the prompt and regenerate

Batch generation (same style)

When user needs multiple images in a consistent style (e.g., blog series, icon set, product shots):

  1. Define the style prompt once (colors, aesthetic, constraints)
  2. Ask user for a list of concepts/subjects
  3. Generate each image reusing the same style prefix, only changing the concept
  4. Save all to the same folder with numbered or descriptive names

Example batch flow:

# Same style, different concepts
python3 scripts/generate.py "<STYLE PREFIX> A laptop with sparkles. <STYLE SUFFIX>" -o ~/Desktop/batch/01-laptop.png -m nano-banana-pro
python3 scripts/generate.py "<STYLE PREFIX> A rocket launching. <STYLE SUFFIX>" -o ~/Desktop/batch/02-rocket.png -m nano-banana-pro
python3 scripts/generate.py "<STYLE PREFIX> A lightbulb moment. <STYLE SUFFIX>" -o ~/Desktop/batch/03-lightbulb.png -m nano-banana-pro

Confirm total cost before starting: "This batch of N images will cost approximately $X.XX total. Proceed?"

Tips for Better Results

  • Keep concepts focused: describe the main subject clearly
  • Specify what you DON'T want (no text, no watermarks, no blurry elements)
  • Include aspect ratio (1:1 for social, 16:9 for headers, 9:16 for stories)
  • Add "Ultra high quality" or "High detail" for sharper output
  • For illustrations: reference styles (Notion, Slack, Linear, Dribbble)
  • For photos: describe lighting, angle, and mood
  • For logos/design: emphasize simplicity and scalability
  • If result isn't right, iterate: adjust the prompt and regenerate

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/snapshot"
curl -s "https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/contract"
curl -s "https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

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

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

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!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T00:10:58.271Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "any",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:any|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Carolmonroe22",
    "href": "https://github.com/CarolMonroe22/nano-banana",
    "sourceUrl": "https://github.com/CarolMonroe22/nano-banana",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:29:09.117Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:29:09.117Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/carolmonroe22-nano-banana/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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