Xpersona
Claim this agent
Agent DossierCLAWHUBSafety 84/100

Xpersona Agent

visual-prompt-engine

Generate diverse, non-repetitive image prompts powered by real visual references from Dribbble and design platforms. USE WHEN: user wants an image prompt, needs creative visual inspiration, asks for design-informed prompts, wants to avoid repetitive AI image generation, or says 'generate a prompt for an image', 'give me a creative image idea', 'make me a unique visual prompt'. DON'T USE WHEN: user wants to generate the image itself (use an image generation tool), wants to edit an existing image, or needs text-only content. EDGE CASES: 'make me an image' → use image generation tool, then optionally this skill for the prompt. 'improve this image prompt' → this skill. 'I keep getting similar AI images' → this skill (solves repetition). --- name: visual-prompt-engine description: "Generate diverse, non-repetitive image prompts powered by real visual references from Dribbble and design platforms. USE WHEN: user wants an image prompt, needs creative visual inspiration, asks for design-informed prompts, wants to avoid repetitive AI image generation, or says 'generate a prompt for an image', 'give me a creative image idea', 'make me a unique visual prom

OpenClaw · self-declared
Trust evidence available
View on ClawHub
clawhub skill install skills:abdullah4ai:visual-prompt-engine

Overall rank

#62

Adoption

No public adoption signal

Trust

Unknown

Freshness

Feb 25, 2026

Freshness

Last checked Feb 25, 2026

Best For

visual-prompt-engine is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, CLAWHUB, runtime-metrics, public facts pack

OverviewEvidence & TimelineArtifacts & DocsAPI & ReliabilityMedia & RelatedMachine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

Generate diverse, non-repetitive image prompts powered by real visual references from Dribbble and design platforms. USE WHEN: user wants an image prompt, needs creative visual inspiration, asks for design-informed prompts, wants to avoid repetitive AI image generation, or says 'generate a prompt for an image', 'give me a creative image idea', 'make me a unique visual prompt'. DON'T USE WHEN: user wants to generate the image itself (use an image generation tool), wants to edit an existing image, or needs text-only content. EDGE CASES: 'make me an image' → use image generation tool, then optionally this skill for the prompt. 'improve this image prompt' → this skill. 'I keep getting similar AI images' → this skill (solves repetition). --- name: visual-prompt-engine description: "Generate diverse, non-repetitive image prompts powered by real visual references from Dribbble and design platforms. USE WHEN: user wants an image prompt, needs creative visual inspiration, asks for design-informed prompts, wants to avoid repetitive AI image generation, or says 'generate a prompt for an image', 'give me a creative image idea', 'make me a unique visual prom Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Openclaw

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

clawhub skill install skills:abdullah4ai:visual-prompt-engine
  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 & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Openclaw

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 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

Events

Release & Crawl Timeline

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredCLAWHUB

Captured outputs

Artifacts Archive

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

Dribbble Scraper → Style Cards → Prompt Generator → Quality Reviewer → Final Prompt

bash

python3 scripts/scrape_dribbble.py --method import --import-file manual_shots.json --output data/references.json

bash

python3 scripts/scrape_dribbble.py --output data/references.json --count 20

bash

python3 scripts/style_card.py build --input data/references.json --output data/style_cards.json

bash

# Run daily to keep references current
python3 scripts/scrape_dribbble.py --output data/references.json --count 20
python3 scripts/style_card.py build --input data/references.json --output data/style_cards.json

text

data/
├── references.json      # Raw Dribbble scrape results
├── style_cards.json     # Processed style cards
└── prompt_history.json  # Generated prompts (for deduplication)

Editorial read

Docs & README

Docs source

CLAWHUB

Editorial quality

ready

Generate diverse, non-repetitive image prompts powered by real visual references from Dribbble and design platforms. USE WHEN: user wants an image prompt, needs creative visual inspiration, asks for design-informed prompts, wants to avoid repetitive AI image generation, or says 'generate a prompt for an image', 'give me a creative image idea', 'make me a unique visual prompt'. DON'T USE WHEN: user wants to generate the image itself (use an image generation tool), wants to edit an existing image, or needs text-only content. EDGE CASES: 'make me an image' → use image generation tool, then optionally this skill for the prompt. 'improve this image prompt' → this skill. 'I keep getting similar AI images' → this skill (solves repetition). --- name: visual-prompt-engine description: "Generate diverse, non-repetitive image prompts powered by real visual references from Dribbble and design platforms. USE WHEN: user wants an image prompt, needs creative visual inspiration, asks for design-informed prompts, wants to avoid repetitive AI image generation, or says 'generate a prompt for an image', 'give me a creative image idea', 'make me a unique visual prom

Full README

name: visual-prompt-engine description: "Generate diverse, non-repetitive image prompts powered by real visual references from Dribbble and design platforms. USE WHEN: user wants an image prompt, needs creative visual inspiration, asks for design-informed prompts, wants to avoid repetitive AI image generation, or says 'generate a prompt for an image', 'give me a creative image idea', 'make me a unique visual prompt'. DON'T USE WHEN: user wants to generate the image itself (use an image generation tool), wants to edit an existing image, or needs text-only content. EDGE CASES: 'make me an image' → use image generation tool, then optionally this skill for the prompt. 'improve this image prompt' → this skill. 'I keep getting similar AI images' → this skill (solves repetition)."

Visual Prompt Engine

Generate high-quality, diverse image prompts by feeding real visual references into a structured prompt pipeline.

Problem

AI agents reuse the same visual patterns and clichés when writing image prompts. This skill breaks that cycle by grounding prompts in real, trending design work.

Architecture

Dribbble Scraper → Style Cards → Prompt Generator → Quality Reviewer → Final Prompt

Quick Start

1. Collect Visual References

Recommended: Browser-based collection (Dribbble blocks automated requests)

Browse https://dribbble.com/shots/popular with a browser tool (Camofox, Playwright, etc.), collect shot URLs, titles, and image URLs, then save as JSON:

python3 scripts/scrape_dribbble.py --method import --import-file manual_shots.json --output data/references.json

Alternative: RSS/HTML (may be blocked by WAF)

python3 scripts/scrape_dribbble.py --output data/references.json --count 20

The import JSON format: [{"title": "...", "url": "https://dribbble.com/shots/...", "image_url": "..."}]

2. Build Style Cards

Convert raw references into style cards:

python3 scripts/style_card.py build --input data/references.json --output data/style_cards.json

3. Generate Prompts

When the user requests an image prompt:

  1. Read data/style_cards.json for available visual references
  2. Select 1-3 cards relevant to the user's goal
  3. Read references/prompt-patterns.md for diverse prompt structures
  4. Read references/visual-vocabulary.md for precise design terminology
  5. Compose a prompt combining: user goal + style card elements + varied pattern
  6. Check against recent prompts in data/prompt_history.json to prevent repetition
  7. Append the new prompt to history

4. Review and Deliver

Before delivering, verify the prompt:

  • Uses specific visual language (not generic adjectives)
  • References concrete design elements from the style card
  • Follows a pattern different from the last 5 prompts
  • Includes composition, lighting, color palette, and mood

Style Card Schema

See references/style-card-schema.md for the full schema. A style card contains:

| Field | Description | |-------|-------------| | palette | Hex colors extracted from the design | | composition | Layout structure (grid, asymmetric, centered, etc.) | | typography | Font style and weight characteristics | | mood | Emotional tone (bold, minimal, playful, etc.) | | textures | Surface qualities (glass, grain, matte, etc.) | | lighting | Light direction and quality | | source_url | Original Dribbble shot URL | | tags | Design categories |

Prompt Patterns

See references/prompt-patterns.md for 12+ distinct prompt structures that prevent repetition. Rotate through patterns to keep outputs fresh.

Visual Vocabulary

See references/visual-vocabulary.md for precise design terminology covering color, composition, lighting, texture, and typography. Use these terms instead of generic words like "beautiful" or "nice".

Automation (Optional)

Set up a daily cron to refresh visual references:

# Run daily to keep references current
python3 scripts/scrape_dribbble.py --output data/references.json --count 20
python3 scripts/style_card.py build --input data/references.json --output data/style_cards.json

Data Directory

The skill stores working data in data/:

data/
├── references.json      # Raw Dribbble scrape results
├── style_cards.json     # Processed style cards
└── prompt_history.json  # Generated prompts (for deduplication)

Create the data/ directory on first run if it does not exist.

Dependencies

Python 3.9+ with standard library only. Optional: requests, beautifulsoup4 for live scraping (falls back to Dribbble RSS if not installed).

Install optional dependencies:

pip install requests beautifulsoup4

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingCLAWHUB

Machine interfaces

Contract & API

Endpoints

Dossier APISnapshot APIContract APITrust API

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/clawhub-skills-abdullah4ai-visual-prompt-engine/snapshot"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-abdullah4ai-visual-prompt-engine/contract"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-abdullah4ai-visual-prompt-engine/trust"

Operational fit

Reliability & Benchmarks

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 & Related

Public screenshots, demo and owner links, plus neighboring agents from the same ecosystem for shortlist building.

Missingno-media

Visual context

Media & Demo

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

Comparison set

Related Agents

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Rank

70

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Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
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Rank

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Traction

No public download signal

Freshness

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GITHUB_REPOSAionUi

Rank

70

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Traction

No public download signal

Freshness

Updated 6d ago

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Rank

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Traction

No public download signal

Freshness

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OPENCLAW
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Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingCLAWHUB

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/clawhub-skills-abdullah4ai-visual-prompt-engine/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-abdullah4ai-visual-prompt-engine/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-abdullah4ai-visual-prompt-engine/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-abdullah4ai-visual-prompt-engine/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-abdullah4ai-visual-prompt-engine/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-abdullah4ai-visual-prompt-engine/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "CLAWHUB",
      "generatedAt": "2026-04-17T02:18:53.997Z"
    }
  },
  "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"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|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": "Openclaw",
    "href": "https://github.com/openclaw/skills/tree/main/skills/abdullah4ai/visual-prompt-engine",
    "sourceUrl": "https://github.com/openclaw/skills/tree/main/skills/abdullah4ai/visual-prompt-engine",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-abdullah4ai-visual-prompt-engine/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-abdullah4ai-visual-prompt-engine/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-abdullah4ai-visual-prompt-engine/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-abdullah4ai-visual-prompt-engine/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

Ads related to visual-prompt-engine and adjacent AI workflows.