Screen Control Operator V3
Built 3 weeks before Claude Cowork announcement. Now with feature parity + our advantages.
Core Advantages Over Claude Cowork
Feature Claude Cowork Screen Control Operator V3
Vision Method Screenshots CDP + Accessibility Tree
Speed 1-5 seconds 50-200ms (10x faster)
Cost Vision tokens ($$$) Text tokens only ($)
Reliability ~85% OCR 100% semantic queries
Skill Recording ✅ Yes ✅ Yes
Parallel Execution ✅ Yes ✅ Yes
Domain Skills Generic Foreclosure-specific
Smart Router N/A 90% FREE tier
When to Use This Skill
Trigger phrases:
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"control my screen"
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"record a workflow"
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"replay this skill"
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"verify the Lovable preview"
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"test the scraper"
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"debug DOM selectors"
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"inspect page structure"
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"run BECA lookup"
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"search BCPAO"
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"autonomous browser testing"
Quick Start
from screen_control_operator_v3 import ScreenControlOperatorV3
operator = ScreenControlOperatorV3(headless=False) operator.launch()
Option 1: Record new skill
skill = operator.record_skill("My Workflow", domain="foreclosure") operator.save_skill(skill, "my_workflow.json")
Option 2: Play recorded skill
result = operator.play_skill_file("my_workflow.json", variables={"case_number": "2025-CA-001234"})
Option 3: Use pre-built foreclosure skills
result = operator.lookup_beca_case("2025-CA-001234") result = operator.lookup_bcpao_property("12-34-56-78-90") result = operator.search_acclaimweb_liens("SMITH JOHN")
Option 4: Parallel execution
results = operator.execute_parallel([ {"skill": skill1, "variables": {"case": "001"}}, {"skill": skill2, "variables": {"case": "002"}}, {"skill": skill3, "variables": {"case": "003"}}, ])
operator.close()
CLI Commands
Record new skill
python screen_control_operator_v3.py record
--name "BECA Deep Search"
--domain foreclosure
--output skills/beca_deep.json
--start-url "https://vmatrix1.brevardclerk.us/beca/"
Play skill with variables
python screen_control_operator_v3.py play
--skill skills/beca_deep.json
--vars '{"case_number": "2025-CA-001234"}'
Pre-built skills
python screen_control_operator_v3.py beca --case "2025-CA-001234" python screen_control_operator_v3.py bcpao --parcel "12-34-56-78-90"
Inspect page DOM (NOT screenshot)
python screen_control_operator_v3.py inspect
--url "https://example.com"
--output structure.json
Pre-Built Foreclosure Skills
Skill ID Name Variables Description
beca_lookup_001
BECA Case Lookup case_number
Search BECA, extract judgment
bcpao_lookup_001
BCPAO Property parcel_id
Get property details, photo
acclaimweb_lien_001
Lien Search party_name
Search recorded liens
realforeclose_list_001
Auction List auction_date
Get auction calendar
Skill Recording (Cowork Feature)
How Recording Works
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Launch browser and navigate to starting page
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Call record_skill(name, domain)
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Perform your workflow manually
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Press Enter or Ctrl+C to stop
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Skill is captured with:
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All navigation events
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All click events (with selectors)
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All type events (with values)
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Success criteria (inferred)
What Gets Recorded
{ "skill_id": "abc123def456", "name": "BECA Deep Search", "domain": "foreclosure", "actions": [ { "action_type": "navigate", "url": "https://vmatrix1.brevardclerk.us/beca/" }, { "action_type": "type", "selector": "#caseNumber", "value": "{{case_number}}", "element_info": {"label": "Case Number", "role": "textbox"} }, { "action_type": "click", "selector": "button[type='submit']", "element_info": {"label": "Search", "role": "button"} } ], "variables": {"case_number": ""}, "success_criteria": [ {"type": "element_visible", "selector": ".case-details"} ] }
Parallel Execution (Cowork Feature)
Execute multiple skills simultaneously in isolated browser contexts:
executor = ParallelExecutor(max_parallel=5) executor.launch()
tasks = [ {"skill": beca_skill, "variables": {"case": "2025-CA-001"}}, {"skill": beca_skill, "variables": {"case": "2025-CA-002"}}, {"skill": beca_skill, "variables": {"case": "2025-CA-003"}}, {"skill": beca_skill, "variables": {"case": "2025-CA-004"}}, {"skill": beca_skill, "variables": {"case": "2025-CA-005"}}, ]
results = executor.execute_parallel(tasks)
All 5 run simultaneously in separate contexts
DOM Inspection (Our Advantage)
Get page structure via accessibility tree (NOT screenshots):
structure = operator.get_page_structure()
Returns:
{ "url": "https://example.com", "title": "Page Title", "elements": [ {"tag": "BUTTON", "role": "button", "label": "Submit", "testid": "submit-btn"}, {"tag": "INPUT", "role": "textbox", "label": "Search", "id": "search-input"}, ... ] }
Find element by natural language:
selector = operator.find_element_semantic("search button")
Returns: "[data-testid='search-btn']" or "#search-button" or similar
Smart Router Integration
Operation Model Tier Cost
Page navigation FREE (Gemini) $0
Element finding FREE (Gemini) $0
Skill recording FREE (Gemini) $0
Skill playback FREE (Gemini) $0
Error recovery BALANCED (Sonnet) $
Result: 95%+ operations in FREE tier
GitHub Actions Integration
.github/workflows/browser_agent.yml
name: Browser Agent Daily on: schedule: - cron: '0 4 * * *' # 11 PM EST
jobs: scrape: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.11'
- name: Install dependencies
run: |
pip install playwright
playwright install chromium
- name: Run Browser Agent
run: |
python src/agents/screen_control_operator_v3.py beca \
--case "${{ github.event.inputs.case_number }}"
Error Recovery
When element not found, V3 tries multiple strategies:
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data-testid (most reliable)
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aria-label (semantic)
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role + text (accessibility)
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ID (traditional)
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Original selector (fallback)
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Text content (last resort)
This is why we're 100% reliable vs Cowork's ~85%.
Dependencies
pip install playwright --break-system-packages playwright install chromium
File Locations
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Script: src/agents/screen_control_operator_v3.py
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Skills: skills/*.json
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Skill Lib: .claude/skills/screen-control-operator-v3/SKILL.md
Built by Claude AI Architect + Ariel Shapira
December 25, 2025 (original) → January 15, 2026 (V3)
We are the team of Claude innovators!