capabilities

Image Analyzer

Name: Image Analyzer
Author: Athina AI

Analyze images with AI - extract text, describe content, detect objects

by Athina AI

Run in Gooseworks View skill in Github

Install

Terminal

npx gooseworks install --all

# then, in Claude Code, Cursor, or Codex:
/gooseworks use the image-analyzer skill

About This Skill

Image Analyzer - AI Image Analysis

Setup

Read your credentials from ~/.gooseworks/credentials.json:

export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Analyze images to extract text, describe content, and detect objects using AI.

Workflow

Step 1: Get Image from URL

Fetch image content:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/fetch","body":{"url":"https://example.com/image.jpg"}}'

Step 2: Extract Text (OCR)

Use AI to extract text from images:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
  "website_url": "https://example.com/screenshot.png",
  "user_prompt": "Extract all visible text from this image"
}'

Step 3: Extract Structured Data

Get specific data from images:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"riveter","path":"/v1/run"}'
  "input": {
    "urls": ["https://example.com/receipt.jpg"]
  },
  "output": {
    "store_name": {"prompt": "Store name", "contexts": ["urls"]},
    "date": {"prompt": "Date", "contexts": ["urls"]},
    "items": {"prompt": "Items with names and prices", "contexts": ["urls"]},
    "total": {"prompt": "Total amount", "contexts": ["urls"]}
  }
}'

Step 4: Capture Website Screenshots

Get screenshots of web pages:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"brand-dev","path":"/v1/brand/screenshot","query":{"domain":"stripe.com"}}'

Example Usage

# Extract receipt data
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
  "website_url": "https://example.com/receipt.jpg",
  "user_prompt": "Extract store name, date, all items with prices, and total amount"
}'
 
# Get website screenshot
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"brand-dev","path":"/v1/brand/screenshot","query":{"domain":"openai.com"}}'

Tips

Use clear, high-resolution images
Specify exact data needed for extraction
Combine with OCR for text-heavy images
Use screenshots for website analysis

Discover More

List all endpoints, or add a path for parameter details:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"brand-dev API endpoints"}' api show linkup
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"riveter API endpoints"}' api show scrapegraph

Example: curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \ -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ -H "Content-Type: application/json" \ -d '{"api":"olostep","path":"/v1/scrapes"}' for endpoint parameters.

What's included

Use clear, high-resolution images

Specify exact data needed for extraction

Combine with OCR for text-heavy images

Use screenshots for website analysis

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