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
Crawler Summary
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
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
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Carolmonroe22
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
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.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Carolmonroe22
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
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.
Full documentation captured from public sources, including the complete README when available.
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
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.
If GOOGLE_AI_API_KEY is not set:
echo 'export GOOGLE_AI_API_KEY="your-key-here"' >> ~/.zshrc
source ~/.zshrc
scripts/generate.pyPresent 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?"
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. |
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]
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.
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]
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.
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 generationlaptop-notifications.png)When user needs multiple images in a consistent style (e.g., blog series, icon set, product shots):
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?"
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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
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
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
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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
}
]Sponsored
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