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Search patents by keywords\u002Finventors\u002Fassignees, retrieve examination history via PEDS, track assignments, analyze citations and office actions, access TSDR for trademarks, for IP analysis and prior art searches.\n\n## When to Use This Skill\n\nThis skill should be used when:\n\n- **Patent Search**: Finding patents by keywords, inventors, assignees, classifications, or dates\n- **Patent Details**: Retrieving full patent data including claims, abstracts, citations\n- **Trademark Search**: Looking up trademarks by serial or registration number\n- **Trademark Status**: Checking trademark status, ownership, and prosecution history\n- **Examination History**: Accessing patent prosecution data from PEDS (Patent Examination Data System)\n- **Office Actions**: Retrieving office action text, citations, and rejections\n- **Assignments**: Tracking patent\u002Ftrademark ownership transfers\n- **Citations**: Analyzing patent citations (forward and backward)\n- **Litigation**: Accessing patent litigation records\n- **Portfolio Analysis**: Analyzing patent\u002Ftrademark portfolios for companies or inventors\n\n## USPTO API Ecosystem\n\nThe USPTO provides multiple specialized APIs for different data needs:\n\n### Core APIs\n\n1. **PatentSearch API** - Modern ElasticSearch-based patent search (replaced legacy PatentsView in May 2025)\n   - Search patents by keywords, inventors, assignees, classifications, dates\n   - Access to patent data through June 30, 2025\n   - 45 requests\u002Fminute rate limit\n   - **Base URL**: `https:\u002F\u002Fsearch.patentsview.org\u002Fapi\u002Fv1\u002F`\n\n2. **PEDS (Patent Examination Data System)** - Patent examination history\n   - Application status and transaction history from 1981-present\n   - Office action dates and examination events\n   - Use `uspto-opendata-python` Python library\n   - **Replaced**: PAIR Bulk Data (PBD) - decommissioned\n\n3. **TSDR (Trademark Status & Document Retrieval)** - Trademark data\n   - Trademark status, ownership, prosecution history\n   - Search by serial or registration number\n   - **Base URL**: `https:\u002F\u002Ftsdrapi.uspto.gov\u002Fts\u002Fcd\u002F`\n\n### Additional APIs\n\n4. **Patent Assignment Search** - Ownership records and transfers\n5. **Trademark Assignment Search** - Trademark ownership changes\n6. **Enriched Citation API** - Patent citation analysis\n7. **Office Action Text Retrieval** - Full text of office actions\n8. **Office Action Citations** - Citations from office actions\n9. **Office Action Rejection** - Rejection reasons and types\n10. **PTAB API** - Patent Trial and Appeal Board proceedings\n11. **Patent Litigation Cases** - Federal district court litigation data\n12. **Cancer Moonshot Data Set** - Cancer-related patents\n\n## Quick Start\n\n### API Key Registration\n\nAll USPTO APIs require an API key. Register at:\n**https:\u002F\u002Faccount.uspto.gov\u002Fapi-manager\u002F**\n\nSet the API key as an environment variable:\n```bash\nexport USPTO_API_KEY=\"your_api_key_here\"\n```\n\n### Helper Scripts\n\nThis skill includes Python scripts for common operations:\n\n- **`scripts\u002Fpatent_search.py`** - PatentSearch API client for searching patents\n- **`scripts\u002Fpeds_client.py`** - PEDS client for examination history\n- **`scripts\u002Ftrademark_client.py`** - TSDR client for trademark data\n\n## Task 1: Searching Patents\n\n### Using the PatentSearch API\n\nThe PatentSearch API uses a JSON query language with various operators for flexible searching.\n\n#### Basic Patent Search Examples\n\n**Search by keywords in abstract:**\n```python\nfrom scripts.patent_search import PatentSearchClient\n\nclient = PatentSearchClient()\n\n# Search for machine learning patents\nresults = client.search_patents({\n    \"patent_abstract\": {\"_text_all\": [\"machine\", \"learning\"]}\n})\n\nfor patent in results['patents']:\n    print(f\"{patent['patent_number']}: {patent['patent_title']}\")\n```\n\n**Search by inventor:**\n```python\nresults = client.search_by_inventor(\"John Smith\")\n```\n\n**Search by assignee\u002Fcompany:**\n```python\nresults = client.search_by_assignee(\"Google\")\n```\n\n**Search by date range:**\n```python\nresults = client.search_by_date_range(\"2024-01-01\", \"2024-12-31\")\n```\n\n**Search by CPC classification:**\n```python\nresults = client.search_by_classification(\"H04N\")  # Video\u002Fimage tech\n```\n\n#### Advanced Patent Search\n\nCombine multiple criteria with logical operators:\n\n```python\nresults = client.advanced_search(\n    keywords=[\"artificial\", \"intelligence\"],\n    assignee=\"Microsoft\",\n    start_date=\"2023-01-01\",\n    end_date=\"2024-12-31\",\n    cpc_codes=[\"G06N\", \"G06F\"]  # AI and computing classifications\n)\n```\n\n#### Direct API Usage\n\nFor complex queries, use the API directly:\n\n```python\nimport requests\n\nurl = \"https:\u002F\u002Fsearch.patentsview.org\u002Fapi\u002Fv1\u002Fpatent\"\nheaders = {\n    \"X-Api-Key\": \"YOUR_API_KEY\",\n    \"Content-Type\": \"application\u002Fjson\"\n}\n\nquery = {\n    \"q\": {\n        \"_and\": [\n            {\"patent_date\": {\"_gte\": \"2024-01-01\"}},\n            {\"assignee_organization\": {\"_text_any\": [\"Google\", \"Alphabet\"]}},\n            {\"cpc_subclass_id\": [\"G06N\", \"H04N\"]}\n        ]\n    },\n    \"f\": [\"patent_number\", \"patent_title\", \"patent_date\", \"inventor_name\"],\n    \"s\": [{\"patent_date\": \"desc\"}],\n    \"o\": {\"per_page\": 100, \"page\": 1}\n}\n\nresponse = requests.post(url, headers=headers, json=query)\nresults = response.json()\n```\n\n### Query Operators\n\n- **Equality**: `{\"field\": \"value\"}` or `{\"field\": {\"_eq\": \"value\"}}`\n- **Comparison**: `_gt`, `_gte`, `_lt`, `_lte`, `_neq`\n- **Text search**: `_text_all`, `_text_any`, `_text_phrase`\n- **String matching**: `_begins`, `_contains`\n- **Logical**: `_and`, `_or`, `_not`\n\n**Best Practice**: Use `_text_*` operators for text fields (more performant than `_contains` or `_begins`)\n\n### Available Patent Endpoints\n\n- `\u002Fpatent` - Granted patents\n- `\u002Fpublication` - Pregrant publications\n- `\u002Finventor` - Inventor information\n- `\u002Fassignee` - Assignee information\n- `\u002Fcpc_subclass`, `\u002Fcpc_at_issue` - CPC classifications\n- `\u002Fuspc` - US Patent Classification\n- `\u002Fipc` - International Patent Classification\n- `\u002Fclaims`, `\u002Fbrief_summary_text`, `\u002Fdetail_description_text` - Text data (beta)\n\n### Reference Documentation\n\nSee `references\u002Fpatentsearch_api.md` for complete PatentSearch API documentation including:\n- All available endpoints\n- Complete field reference\n- Query syntax and examples\n- Response formats\n- Rate limits and best practices\n\n## Task 2: Retrieving Patent Examination Data\n\n### Using PEDS (Patent Examination Data System)\n\nPEDS provides comprehensive prosecution history including transaction events, status changes, and examination timeline.\n\n#### Installation\n\n```bash\nuv pip install uspto-opendata-python\n```\n\n#### Basic PEDS Usage\n\n**Get application data:**\n```python\nfrom scripts.peds_client import PEDSHelper\n\nhelper = PEDSHelper()\n\n# By application number\napp_data = helper.get_application(\"16123456\")\nprint(f\"Title: {app_data['title']}\")\nprint(f\"Status: {app_data['app_status']}\")\n\n# By patent number\npatent_data = helper.get_patent(\"11234567\")\n```\n\n**Get transaction history:**\n```python\ntransactions = helper.get_transaction_history(\"16123456\")\n\nfor trans in transactions:\n    print(f\"{trans['date']}: {trans['code']} - {trans['description']}\")\n```\n\n**Get office actions:**\n```python\noffice_actions = helper.get_office_actions(\"16123456\")\n\nfor oa in office_actions:\n    if oa['code'] == 'CTNF':\n        print(f\"Non-final rejection: {oa['date']}\")\n    elif oa['code'] == 'CTFR':\n        print(f\"Final rejection: {oa['date']}\")\n    elif oa['code'] == 'NOA':\n        print(f\"Notice of allowance: {oa['date']}\")\n```\n\n**Get status summary:**\n```python\nsummary = helper.get_status_summary(\"16123456\")\n\nprint(f\"Current status: {summary['current_status']}\")\nprint(f\"Filing date: {summary['filing_date']}\")\nprint(f\"Pendency: {summary['pendency_days']} days\")\n\nif summary['is_patented']:\n    print(f\"Patent number: {summary['patent_number']}\")\n    print(f\"Issue date: {summary['issue_date']}\")\n```\n\n#### Prosecution Analysis\n\nAnalyze prosecution patterns:\n\n```python\nanalysis = helper.analyze_prosecution(\"16123456\")\n\nprint(f\"Total office actions: {analysis['total_office_actions']}\")\nprint(f\"Non-final rejections: {analysis['non_final_rejections']}\")\nprint(f\"Final rejections: {analysis['final_rejections']}\")\nprint(f\"Allowed: {analysis['allowance']}\")\nprint(f\"Responses filed: {analysis['responses']}\")\n```\n\n### Common Transaction Codes\n\n- **CTNF** - Non-final rejection mailed\n- **CTFR** - Final rejection mailed\n- **NOA** - Notice of allowance mailed\n- **WRIT** - Response filed\n- **ISS.FEE** - Issue fee payment\n- **ABND** - Application abandoned\n- **AOPF** - Office action mailed\n\n### Reference Documentation\n\nSee `references\u002Fpeds_api.md` for complete PEDS documentation including:\n- All available data fields\n- Transaction code reference\n- Python library usage\n- Portfolio analysis examples\n\n## Task 3: Searching and Monitoring Trademarks\n\n### Using TSDR (Trademark Status & Document Retrieval)\n\nAccess trademark status, ownership, and prosecution history.\n\n#### Basic Trademark Usage\n\n**Get trademark by serial number:**\n```python\nfrom scripts.trademark_client import TrademarkClient\n\nclient = TrademarkClient()\n\n# By serial number\ntm_data = client.get_trademark_by_serial(\"87654321\")\n\n# By registration number\ntm_data = client.get_trademark_by_registration(\"5678901\")\n```\n\n**Get trademark status:**\n```python\nstatus = client.get_trademark_status(\"87654321\")\n\nprint(f\"Mark: {status['mark_text']}\")\nprint(f\"Status: {status['status']}\")\nprint(f\"Filing date: {status['filing_date']}\")\n\nif status['is_registered']:\n    print(f\"Registration #: {status['registration_number']}\")\n    print(f\"Registration date: {status['registration_date']}\")\n```\n\n**Check trademark health:**\n```python\nhealth = client.check_trademark_health(\"87654321\")\n\nprint(f\"Mark: {health['mark']}\")\nprint(f\"Status: {health['status']}\")\n\nfor alert in health['alerts']:\n    print(alert)\n\nif health['needs_attention']:\n    print(\"⚠️  This mark needs attention!\")\n```\n\n#### Trademark Portfolio Monitoring\n\nMonitor multiple trademarks:\n\n```python\ndef monitor_portfolio(serial_numbers, api_key):\n    \"\"\"Monitor trademark portfolio health.\"\"\"\n    client = TrademarkClient(api_key)\n\n    results = {\n        'active': [],\n        'pending': [],\n        'problems': []\n    }\n\n    for sn in serial_numbers:\n        health = client.check_trademark_health(sn)\n\n        if 'REGISTERED' in health['status']:\n            results['active'].append(health)\n        elif 'PENDING' in health['status'] or 'PUBLISHED' in health['status']:\n            results['pending'].append(health)\n        elif health['needs_attention']:\n            results['problems'].append(health)\n\n    return results\n```\n\n### Common Trademark Statuses\n\n- **REGISTERED** - Active registered mark\n- **PENDING** - Under examination\n- **PUBLISHED FOR OPPOSITION** - In opposition period\n- **ABANDONED** - Application abandoned\n- **CANCELLED** - Registration cancelled\n- **SUSPENDED** - Examination suspended\n- **REGISTERED AND RENEWED** - Registration renewed\n\n### Reference Documentation\n\nSee `references\u002Ftrademark_api.md` for complete trademark API documentation including:\n- TSDR API reference\n- Trademark Assignment Search API\n- All status codes\n- Prosecution history access\n- Ownership tracking\n\n## Task 4: Tracking Assignments and Ownership\n\n### Patent and Trademark Assignments\n\nBoth patents and trademarks have Assignment Search APIs for tracking ownership changes.\n\n#### Patent Assignment API\n\n**Base URL**: `https:\u002F\u002Fassignment-api.uspto.gov\u002Fpatent\u002Fv1.4\u002F`\n\n**Search by patent number:**\n```python\nimport requests\nimport xml.etree.ElementTree as ET\n\ndef get_patent_assignments(patent_number, api_key):\n    url = f\"https:\u002F\u002Fassignment-api.uspto.gov\u002Fpatent\u002Fv1.4\u002Fassignment\u002Fpatent\u002F{patent_number}\"\n    headers = {\"X-Api-Key\": api_key}\n\n    response = requests.get(url, headers=headers)\n    if response.status_code == 200:\n        return response.text  # Returns XML\n\nassignments_xml = get_patent_assignments(\"11234567\", api_key)\nroot = ET.fromstring(assignments_xml)\n\nfor assignment in root.findall('.\u002F\u002Fassignment'):\n    recorded_date = assignment.find('recordedDate').text\n    assignor = assignment.find('.\u002F\u002Fassignor\u002Fname').text\n    assignee = assignment.find('.\u002F\u002Fassignee\u002Fname').text\n    conveyance = assignment.find('conveyanceText').text\n\n    print(f\"{recorded_date}: {assignor} → {assignee}\")\n    print(f\"  Type: {conveyance}\\n\")\n```\n\n**Search by company name:**\n```python\ndef find_company_patents(company_name, api_key):\n    url = \"https:\u002F\u002Fassignment-api.uspto.gov\u002Fpatent\u002Fv1.4\u002Fassignment\u002Fsearch\"\n    headers = {\"X-Api-Key\": api_key}\n    data = {\"criteria\": {\"assigneeName\": company_name}}\n\n    response = requests.post(url, headers=headers, json=data)\n    return response.text\n```\n\n### Common Assignment Types\n\n- **ASSIGNMENT OF ASSIGNORS INTEREST** - Ownership transfer\n- **SECURITY AGREEMENT** - Collateral\u002Fsecurity interest\n- **MERGER** - Corporate merger\n- **CHANGE OF NAME** - Name change\n- **ASSIGNMENT OF PARTIAL INTEREST** - Partial ownership\n\n## Task 5: Accessing Additional USPTO Data\n\n### Office Actions, Citations, and Litigation\n\nMultiple specialized APIs provide additional patent data.\n\n#### Office Action Text Retrieval\n\nRetrieve full text of office actions using application number. Integrate with PEDS to identify which office actions exist, then retrieve full text.\n\n#### Enriched Citation API\n\nAnalyze patent citations:\n- Forward citations (patents citing this patent)\n- Backward citations (prior art cited)\n- Examiner vs. applicant citations\n- Citation context\n\n#### Patent Litigation Cases API\n\nAccess federal district court patent litigation records:\n- 74,623+ litigation records\n- Patents asserted\n- Parties and venues\n- Case outcomes\n\n#### PTAB API\n\nPatent Trial and Appeal Board proceedings:\n- Inter partes review (IPR)\n- Post-grant review (PGR)\n- Appeal decisions\n\n### Reference Documentation\n\nSee `references\u002Fadditional_apis.md` for comprehensive documentation on:\n- Enriched Citation API\n- Office Action APIs (Text, Citations, Rejections)\n- Patent Litigation Cases API\n- PTAB API\n- Cancer Moonshot Data Set\n- OCE Status\u002FEvent Codes\n\n## Complete Analysis Example\n\n### Comprehensive Patent Analysis\n\nCombine multiple APIs for complete patent intelligence:\n\n```python\ndef comprehensive_patent_analysis(patent_number, api_key):\n    \"\"\"\n    Full patent analysis using multiple USPTO APIs.\n    \"\"\"\n    from scripts.patent_search import PatentSearchClient\n    from scripts.peds_client import PEDSHelper\n\n    results = {}\n\n    # 1. Get patent details\n    patent_client = PatentSearchClient(api_key)\n    patent_data = patent_client.get_patent(patent_number)\n    results['patent'] = patent_data\n\n    # 2. Get examination history\n    peds = PEDSHelper()\n    results['prosecution'] = peds.analyze_prosecution(patent_number)\n    results['status'] = peds.get_status_summary(patent_number)\n\n    # 3. Get assignment history\n    import requests\n    assign_url = f\"https:\u002F\u002Fassignment-api.uspto.gov\u002Fpatent\u002Fv1.4\u002Fassignment\u002Fpatent\u002F{patent_number}\"\n    assign_resp = requests.get(assign_url, headers={\"X-Api-Key\": api_key})\n    results['assignments'] = assign_resp.text if assign_resp.status_code == 200 else None\n\n    # 4. Analyze results\n    print(f\"\\n=== Patent {patent_number} Analysis ===\\n\")\n    print(f\"Title: {patent_data['patent_title']}\")\n    print(f\"Assignee: {', '.join(patent_data.get('assignee_organization', []))}\")\n    print(f\"Issue Date: {patent_data['patent_date']}\")\n\n    print(f\"\\nProsecution:\")\n    print(f\"  Office Actions: {results['prosecution']['total_office_actions']}\")\n    print(f\"  Rejections: {results['prosecution']['non_final_rejections']} non-final, {results['prosecution']['final_rejections']} final\")\n    print(f\"  Pendency: {results['prosecution']['pendency_days']} days\")\n\n    # Analyze citations\n    if 'cited_patent_number' in patent_data:\n        print(f\"\\nCitations:\")\n        print(f\"  Cites: {len(patent_data['cited_patent_number'])} patents\")\n    if 'citedby_patent_number' in patent_data:\n        print(f\"  Cited by: {len(patent_data['citedby_patent_number'])} patents\")\n\n    return results\n```\n\n## Best Practices\n\n1. **API Key Management**\n   - Store API key in environment variables\n   - Never commit keys to version control\n   - Use same key across all USPTO APIs\n\n2. **Rate Limiting**\n   - PatentSearch: 45 requests\u002Fminute\n   - Implement exponential backoff for rate limit errors\n   - Cache responses when possible\n\n3. **Query Optimization**\n   - Use `_text_*` operators for text fields (more performant)\n   - Request only needed fields to reduce response size\n   - Use date ranges to narrow searches\n\n4. **Data Handling**\n   - Not all fields populated for all patents\u002Ftrademarks\n   - Handle missing data gracefully\n   - Parse dates consistently\n\n5. **Combining APIs**\n   - Use PatentSearch for discovery\n   - Use PEDS for prosecution details\n   - Use Assignment APIs for ownership tracking\n   - Combine data for comprehensive analysis\n\n## Important Notes\n\n- **Legacy API Sunset**: PatentsView legacy API discontinued May 1, 2025 - use PatentSearch API\n- **PAIR Bulk Data Decommissioned**: Use PEDS instead\n- **Data Coverage**: PatentSearch has data through June 30, 2025; PEDS from 1981-present\n- **Text Endpoints**: Claims and description endpoints are in beta with ongoing backfilling\n- **Rate Limits**: Respect rate limits to avoid service disruptions\n\n## Resources\n\n### API Documentation\n- **PatentSearch API**: https:\u002F\u002Fsearch.patentsview.org\u002Fdocs\u002F\n- **USPTO Developer Portal**: https:\u002F\u002Fdeveloper.uspto.gov\u002F\n- **USPTO Open Data Portal**: https:\u002F\u002Fdata.uspto.gov\u002F\n- **API Key Registration**: https:\u002F\u002Faccount.uspto.gov\u002Fapi-manager\u002F\n\n### Python Libraries\n- **uspto-opendata-python**: https:\u002F\u002Fpypi.org\u002Fproject\u002Fuspto-opendata-python\u002F\n- **USPTO Docs**: https:\u002F\u002Fdocs.ip-tools.org\u002Fuspto-opendata-python\u002F\n\n### Reference Files\n- `references\u002Fpatentsearch_api.md` - Complete PatentSearch API reference\n- `references\u002Fpeds_api.md` - PEDS API and library documentation\n- `references\u002Ftrademark_api.md` - Trademark APIs (TSDR and Assignment)\n- `references\u002Fadditional_apis.md` - Citations, Office Actions, Litigation, PTAB\n\n### Scripts\n- `scripts\u002Fpatent_search.py` - PatentSearch API client\n- `scripts\u002Fpeds_client.py` - PEDS examination data client\n- `scripts\u002Ftrademark_client.py` - Trademark search client\n","# USPTO Database\n\n## Overview\n\nUSPTO provides specialized APIs for patent and trademark data. Search patents by keywords\u002Finventors\u002Fassignees, retrieve examination history via PEDS, track assignments, analyze citations and office actions, access TSDR for trademarks, for IP analysis and prior art searches.\n\n## When to Use This Skill\n\nThis skill should be used when:\n\n- **Patent Search**: Finding patents by keywords, inventors, assignees, classifications, or dates\n- **Patent Details**: Retrieving full patent data including claims, abstracts, citations\n- **Trademark Search**: Looking up trademarks by serial or registration number\n- **Trademark Status**: Checking trademark status, ownership, and prosecution history\n- **Examination History**: Accessing patent prosecution data from PEDS (Patent Examination Data System)\n- **Office Actions**: Retrieving office action text, citations, and rejections\n- **Assignments**: Tracking patent\u002Ftrademark ownership transfers\n- **Citations**: Analyzing patent citations (forward and backward)\n- **Litigation**: Accessing patent litigation records\n- **Portfolio Analysis**: Analyzing patent\u002Ftrademark portfolios for companies or inventors\n\n## USPTO API Ecosystem\n\nThe USPTO provides multiple specialized APIs for different data needs:\n\n### Core APIs\n\n1. **PatentSearch API** - Modern ElasticSearch-based patent search (replaced legacy PatentsView in May 2025)\n   - Search patents by keywords, inventors, assignees, classifications, dates\n   - Access to patent data through June 30, 2025\n   - 45 requests\u002Fminute rate limit\n   - **Base URL**: `https:\u002F\u002Fsearch.patentsview.org\u002Fapi\u002Fv1\u002F`\n\n2. **PEDS (Patent Examination Data System)** - Patent examination history\n   - Application status and transaction history from 1981-present\n   - Office action dates and examination events\n   - Use `uspto-opendata-python` Python library\n   - **Replaced**: PAIR Bulk Data (PBD) - decommissioned\n\n3. **TSDR (Trademark Status & Document Retrieval)** - Trademark data\n   - Trademark status, ownership, prosecution history\n   - Search by serial or registration number\n   - **Base URL**: `https:\u002F\u002Ftsdrapi.uspto.gov\u002Fts\u002Fcd\u002F`\n\n### Additional APIs\n\n4. **Patent Assignment Search** - Ownership records and transfers\n5. **Trademark Assignment Search** - Trademark ownership changes\n6. **Enriched Citation API** - Patent citation analysis\n7. **Office Action Text Retrieval** - Full text of office actions\n8. **Office Action Citations** - Citations from office actions\n9. **Office Action Rejection** - Rejection reasons and types\n10. **PTAB API** - Patent Trial and Appeal Board proceedings\n11. **Patent Litigation Cases** - Federal district court litigation data\n12. **Cancer Moonshot Data Set** - Cancer-related patents\n\n## Quick Start\n\n### API Key Registration\n\nAll USPTO APIs require an API key. Register at:\n**https:\u002F\u002Faccount.uspto.gov\u002Fapi-manager\u002F**\n\nSet the API key as an environment variable:\n```bash\nexport USPTO_API_KEY=\"your_api_key_here\"\n```\n\n### Helper Scripts\n\nThis skill includes Python scripts for common operations:\n\n- **`scripts\u002Fpatent_search.py`** - PatentSearch API client for searching patents\n- **`scripts\u002Fpeds_client.py`** - PEDS client for examination history\n- **`scripts\u002Ftrademark_client.py`** - TSDR client for trademark data\n\n## Task 1: Searching Patents\n\n### Using the PatentSearch API\n\nThe PatentSearch API uses a JSON query language with various operators for flexible searching.\n\n#### Basic Patent Search Examples\n\n**Search by keywords in abstract:**\n```python\nfrom scripts.patent_search import PatentSearchClient\n\nclient = PatentSearchClient()\n\n# Search for machine learning patents\nresults = client.search_patents({\n    \"patent_abstract\": {\"_text_all\": [\"machine\", \"learning\"]}\n})\n\nfor patent in results['patents']:\n    print(f\"{patent['patent_number']}: {patent['patent_title']}\")\n```\n\n**Search by inventor:**\n```python\nresults = client.search_by_inventor(\"John Smith\")\n```\n\n**Search by assignee\u002Fcompany:**\n```python\nresults = client.search_by_assignee(\"Google\")\n```\n\n**Search by date range:**\n```python\nresults = client.search_by_date_range(\"2024-01-01\", \"2024-12-31\")\n```\n\n**Search by CPC classification:**\n```python\nresults = client.search_by_classification(\"H04N\")  # Video\u002Fimage tech\n```\n\n#### Advanced Patent Search\n\nCombine multiple criteria with logical operators:\n\n```python\nresults = client.advanced_search(\n    keywords=[\"artificial\", \"intelligence\"],\n    assignee=\"Microsoft\",\n    start_date=\"2023-01-01\",\n    end_date=\"2024-12-31\",\n    cpc_codes=[\"G06N\", \"G06F\"]  # AI and computing classifications\n)\n```\n\n#### Direct API Usage\n\nFor complex queries, use the API directly:\n\n```python\nimport requests\n\nurl = \"https:\u002F\u002Fsearch.patentsview.org\u002Fapi\u002Fv1\u002Fpatent\"\nheaders = {\n    \"X-Api-Key\": \"YOUR_API_KEY\",\n    \"Content-Type\": \"application\u002Fjson\"\n}\n\nquery = {\n    \"q\": {\n        \"_and\": [\n            {\"patent_date\": {\"_gte\": \"2024-01-01\"}},\n            {\"assignee_organization\": {\"_text_any\": [\"Google\", \"Alphabet\"]}},\n            {\"cpc_subclass_id\": [\"G06N\", \"H04N\"]}\n        ]\n    },\n    \"f\": [\"patent_number\", \"patent_title\", \"patent_date\", \"inventor_name\"],\n    \"s\": [{\"patent_date\": \"desc\"}],\n    \"o\": {\"per_page\": 100, \"page\": 1}\n}\n\nresponse = requests.post(url, headers=headers, json=query)\nresults = response.json()\n```\n\n### Query Operators\n\n- **Equality**: `{\"field\": \"value\"}` or `{\"field\": {\"_eq\": \"value\"}}`\n- **Comparison**: `_gt`, `_gte`, `_lt`, `_lte`, `_neq`\n- **Text search**: `_text_all`, `_text_any`, `_text_phrase`\n- **String matching**: `_begins`, `_contains`\n- **Logical**: `_and`, `_or`, `_not`\n\n**Best Practice**: Use `_text_*` operators for text fields (more performant than `_contains` or `_begins`)\n\n### Available Patent Endpoints\n\n- `\u002Fpatent` - Granted patents\n- `\u002Fpublication` - Pregrant publications\n- `\u002Finventor` - Inventor information\n- `\u002Fassignee` - Assignee information\n- `\u002Fcpc_subclass`, `\u002Fcpc_at_issue` - CPC classifications\n- `\u002Fuspc` - US Patent Classification\n- `\u002Fipc` - International Patent Classification\n- `\u002Fclaims`, `\u002Fbrief_summary_text`, `\u002Fdetail_description_text` - Text data (beta)\n\n### Reference Documentation\n\nSee `references\u002Fpatentsearch_api.md` for complete PatentSearch API documentation including:\n- All available endpoints\n- Complete field reference\n- Query syntax and examples\n- Response formats\n- Rate limits and best practices\n\n## Task 2: Retrieving Patent Examination Data\n\n### Using PEDS (Patent Examination Data System)\n\nPEDS provides comprehensive prosecution history including transaction events, status changes, and examination timeline.\n\n#### Installation\n\n```bash\nuv pip install uspto-opendata-python\n```\n\n#### Basic PEDS Usage\n\n**Get application data:**\n```python\nfrom scripts.peds_client import PEDSHelper\n\nhelper = PEDSHelper()\n\n# By application number\napp_data = helper.get_application(\"16123456\")\nprint(f\"Title: {app_data['title']}\")\nprint(f\"Status: {app_data['app_status']}\")\n\n# By patent number\npatent_data = helper.get_patent(\"11234567\")\n```\n\n**Get transaction history:**\n```python\ntransactions = helper.get_transaction_history(\"16123456\")\n\nfor trans in transactions:\n    print(f\"{trans['date']}: {trans['code']} - {trans['description']}\")\n```\n\n**Get office actions:**\n```python\noffice_actions = helper.get_office_actions(\"16123456\")\n\nfor oa in office_actions:\n    if oa['code'] == 'CTNF':\n        print(f\"Non-final rejection: {oa['date']}\")\n    elif oa['code'] == 'CTFR':\n        print(f\"Final rejection: {oa['date']}\")\n    elif oa['code'] == 'NOA':\n        print(f\"Notice of allowance: {oa['date']}\")\n```\n\n**Get status summary:**\n```python\nsummary = helper.get_status_summary(\"16123456\")\n\nprint(f\"Current status: {summary['current_status']}\")\nprint(f\"Filing date: {summary['filing_date']}\")\nprint(f\"Pendency: {summary['pendency_days']} days\")\n\nif summary['is_patented']:\n    print(f\"Patent number: {summary['patent_number']}\")\n    print(f\"Issue date: {summary['issue_date']}\")\n```\n\n#### Prosecution Analysis\n\nAnalyze prosecution patterns:\n\n```python\nanalysis = helper.analyze_prosecution(\"16123456\")\n\nprint(f\"Total office actions: {analysis['total_office_actions']}\")\nprint(f\"Non-final rejections: {analysis['non_final_rejections']}\")\nprint(f\"Final rejections: {analysis['final_rejections']}\")\nprint(f\"Allowed: {analysis['allowance']}\")\nprint(f\"Responses filed: {analysis['responses']}\")\n```\n\n### Common Transaction Codes\n\n- **CTNF** - Non-final rejection mailed\n- **CTFR** - Final rejection mailed\n- **NOA** - Notice of allowance mailed\n- **WRIT** - Response filed\n- **ISS.FEE** - Issue fee payment\n- **ABND** - Application abandoned\n- **AOPF** - Office action mailed\n\n### Reference Documentation\n\nSee `references\u002Fpeds_api.md` for complete PEDS documentation including:\n- All available data fields\n- Transaction code reference\n- Python library usage\n- Portfolio analysis examples\n\n## Task 3: Searching and Monitoring Trademarks\n\n### Using TSDR (Trademark Status & Document Retrieval)\n\nAccess trademark status, ownership, and prosecution history.\n\n#### Basic Trademark Usage\n\n**Get trademark by serial number:**\n```python\nfrom scripts.trademark_client import TrademarkClient\n\nclient = TrademarkClient()\n\n# By serial number\ntm_data = client.get_trademark_by_serial(\"87654321\")\n\n# By registration number\ntm_data = client.get_trademark_by_registration(\"5678901\")\n```\n\n**Get trademark status:**\n```python\nstatus = client.get_trademark_status(\"87654321\")\n\nprint(f\"Mark: {status['mark_text']}\")\nprint(f\"Status: {status['status']}\")\nprint(f\"Filing date: {status['filing_date']}\")\n\nif status['is_registered']:\n    print(f\"Registration #: {status['registration_number']}\")\n    print(f\"Registration date: {status['registration_date']}\")\n```\n\n**Check trademark health:**\n```python\nhealth = client.check_trademark_health(\"87654321\")\n\nprint(f\"Mark: {health['mark']}\")\nprint(f\"Status: {health['status']}\")\n\nfor alert in health['alerts']:\n    print(alert)\n\nif health['needs_attention']:\n    print(\"⚠️  This mark needs attention!\")\n```\n\n#### Trademark Portfolio Monitoring\n\nMonitor multiple trademarks:\n\n```python\ndef monitor_portfolio(serial_numbers, api_key):\n    \"\"\"Monitor trademark portfolio health.\"\"\"\n    client = TrademarkClient(api_key)\n\n    results = {\n        'active': [],\n        'pending': [],\n        'problems': []\n    }\n\n    for sn in serial_numbers:\n        health = client.check_trademark_health(sn)\n\n        if 'REGISTERED' in health['status']:\n            results['active'].append(health)\n        elif 'PENDING' in health['status'] or 'PUBLISHED' in health['status']:\n            results['pending'].append(health)\n        elif health['needs_attention']:\n            results['problems'].append(health)\n\n    return results\n```\n\n### Common Trademark Statuses\n\n- **REGISTERED** - Active registered mark\n- **PENDING** - Under examination\n- **PUBLISHED FOR OPPOSITION** - In opposition period\n- **ABANDONED** - Application abandoned\n- **CANCELLED** - Registration cancelled\n- **SUSPENDED** - Examination suspended\n- **REGISTERED AND RENEWED** - Registration renewed\n\n### Reference Documentation\n\nSee `references\u002Ftrademark_api.md` for complete trademark API documentation including:\n- TSDR API reference\n- Trademark Assignment Search API\n- All status codes\n- Prosecution history access\n- Ownership tracking\n\n## Task 4: Tracking Assignments and Ownership\n\n### Patent and Trademark Assignments\n\nBoth patents and trademarks have Assignment Search APIs for tracking ownership changes.\n\n#### Patent Assignment API\n\n**Base URL**: `https:\u002F\u002Fassignment-api.uspto.gov\u002Fpatent\u002Fv1.4\u002F`\n\n**Search by patent number:**\n```python\nimport requests\nimport xml.etree.ElementTree as ET\n\ndef get_patent_assignments(patent_number, api_key):\n    url = f\"https:\u002F\u002Fassignment-api.uspto.gov\u002Fpatent\u002Fv1.4\u002Fassignment\u002Fpatent\u002F{patent_number}\"\n    headers = {\"X-Api-Key\": api_key}\n\n    response = requests.get(url, headers=headers)\n    if response.status_code == 200:\n        return response.text  # Returns XML\n\nassignments_xml = get_patent_assignments(\"11234567\", api_key)\nroot = ET.fromstring(assignments_xml)\n\nfor assignment in root.findall('.\u002F\u002Fassignment'):\n    recorded_date = assignment.find('recordedDate').text\n    assignor = assignment.find('.\u002F\u002Fassignor\u002Fname').text\n    assignee = assignment.find('.\u002F\u002Fassignee\u002Fname').text\n    conveyance = assignment.find('conveyanceText').text\n\n    print(f\"{recorded_date}: {assignor} → {assignee}\")\n    print(f\"  Type: {conveyance}\\n\")\n```\n\n**Search by company name:**\n```python\ndef find_company_patents(company_name, api_key):\n    url = \"https:\u002F\u002Fassignment-api.uspto.gov\u002Fpatent\u002Fv1.4\u002Fassignment\u002Fsearch\"\n    headers = {\"X-Api-Key\": api_key}\n    data = {\"criteria\": {\"assigneeName\": company_name}}\n\n    response = requests.post(url, headers=headers, json=data)\n    return response.text\n```\n\n### Common Assignment Types\n\n- **ASSIGNMENT OF ASSIGNORS INTEREST** - Ownership transfer\n- **SECURITY AGREEMENT** - Collateral\u002Fsecurity interest\n- **MERGER** - Corporate merger\n- **CHANGE OF NAME** - Name change\n- **ASSIGNMENT OF PARTIAL INTEREST** - Partial ownership\n\n## Task 5: Accessing Additional USPTO Data\n\n### Office Actions, Citations, and Litigation\n\nMultiple specialized APIs provide additional patent data.\n\n#### Office Action Text Retrieval\n\nRetrieve full text of office actions using application number. Integrate with PEDS to identify which office actions exist, then retrieve full text.\n\n#### Enriched Citation API\n\nAnalyze patent citations:\n- Forward citations (patents citing this patent)\n- Backward citations (prior art cited)\n- Examiner vs. applicant citations\n- Citation context\n\n#### Patent Litigation Cases API\n\nAccess federal district court patent litigation records:\n- 74,623+ litigation records\n- Patents asserted\n- Parties and venues\n- Case outcomes\n\n#### PTAB API\n\nPatent Trial and Appeal Board proceedings:\n- Inter partes review (IPR)\n- Post-grant review (PGR)\n- Appeal decisions\n\n### Reference Documentation\n\nSee `references\u002Fadditional_apis.md` for comprehensive documentation on:\n- Enriched Citation API\n- Office Action APIs (Text, Citations, Rejections)\n- Patent Litigation Cases API\n- PTAB API\n- Cancer Moonshot Data Set\n- OCE Status\u002FEvent Codes\n\n## Complete Analysis Example\n\n### Comprehensive Patent Analysis\n\nCombine multiple APIs for complete patent intelligence:\n\n```python\ndef comprehensive_patent_analysis(patent_number, api_key):\n    \"\"\"\n    Full patent analysis using multiple USPTO APIs.\n    \"\"\"\n    from scripts.patent_search import PatentSearchClient\n    from scripts.peds_client import PEDSHelper\n\n    results = {}\n\n    # 1. Get patent details\n    patent_client = PatentSearchClient(api_key)\n    patent_data = patent_client.get_patent(patent_number)\n    results['patent'] = patent_data\n\n    # 2. Get examination history\n    peds = PEDSHelper()\n    results['prosecution'] = peds.analyze_prosecution(patent_number)\n    results['status'] = peds.get_status_summary(patent_number)\n\n    # 3. Get assignment history\n    import requests\n    assign_url = f\"https:\u002F\u002Fassignment-api.uspto.gov\u002Fpatent\u002Fv1.4\u002Fassignment\u002Fpatent\u002F{patent_number}\"\n    assign_resp = requests.get(assign_url, headers={\"X-Api-Key\": api_key})\n    results['assignments'] = assign_resp.text if assign_resp.status_code == 200 else None\n\n    # 4. Analyze results\n    print(f\"\\n=== Patent {patent_number} Analysis ===\\n\")\n    print(f\"Title: {patent_data['patent_title']}\")\n    print(f\"Assignee: {', '.join(patent_data.get('assignee_organization', []))}\")\n    print(f\"Issue Date: {patent_data['patent_date']}\")\n\n    print(f\"\\nProsecution:\")\n    print(f\"  Office Actions: {results['prosecution']['total_office_actions']}\")\n    print(f\"  Rejections: {results['prosecution']['non_final_rejections']} non-final, {results['prosecution']['final_rejections']} final\")\n    print(f\"  Pendency: {results['prosecution']['pendency_days']} days\")\n\n    # Analyze citations\n    if 'cited_patent_number' in patent_data:\n        print(f\"\\nCitations:\")\n        print(f\"  Cites: {len(patent_data['cited_patent_number'])} patents\")\n    if 'citedby_patent_number' in patent_data:\n        print(f\"  Cited by: {len(patent_data['citedby_patent_number'])} patents\")\n\n    return results\n```\n\n## Best Practices\n\n1. **API Key Management**\n   - Store API key in environment variables\n   - Never commit keys to version control\n   - Use same key across all USPTO APIs\n\n2. **Rate Limiting**\n   - PatentSearch: 45 requests\u002Fminute\n   - Implement exponential backoff for rate limit errors\n   - Cache responses when possible\n\n3. **Query Optimization**\n   - Use `_text_*` operators for text fields (more performant)\n   - Request only needed fields to reduce response size\n   - Use date ranges to narrow searches\n\n4. **Data Handling**\n   - Not all fields populated for all patents\u002Ftrademarks\n   - Handle missing data gracefully\n   - Parse dates consistently\n\n5. **Combining APIs**\n   - Use PatentSearch for discovery\n   - Use PEDS for prosecution details\n   - Use Assignment APIs for ownership tracking\n   - Combine data for comprehensive analysis\n\n## Important Notes\n\n- **Legacy API Sunset**: PatentsView legacy API discontinued May 1, 2025 - use PatentSearch API\n- **PAIR Bulk Data Decommissioned**: Use PEDS instead\n- **Data Coverage**: PatentSearch has data through June 30, 2025; PEDS from 1981-present\n- **Text Endpoints**: Claims and description endpoints are in beta with ongoing backfilling\n- **Rate Limits**: Respect rate limits to avoid service disruptions\n\n## Resources\n\n### API Documentation\n- **PatentSearch API**: https:\u002F\u002Fsearch.patentsview.org\u002Fdocs\u002F\n- **USPTO Developer Portal**: https:\u002F\u002Fdeveloper.uspto.gov\u002F\n- **USPTO Open Data Portal**: https:\u002F\u002Fdata.uspto.gov\u002F\n- **API Key Registration**: https:\u002F\u002Faccount.uspto.gov\u002Fapi-manager\u002F\n\n### Python Libraries\n- **uspto-opendata-python**: https:\u002F\u002Fpypi.org\u002Fproject\u002Fuspto-opendata-python\u002F\n- **USPTO Docs**: https:\u002F\u002Fdocs.ip-tools.org\u002Fuspto-opendata-python\u002F\n\n### Reference Files\n- `references\u002Fpatentsearch_api.md` - Complete PatentSearch API reference\n- `references\u002Fpeds_api.md` - PEDS API and library documentation\n- `references\u002Ftrademark_api.md` - Trademark APIs (TSDR and Assignment)\n- `references\u002Fadditional_apis.md` - Citations, Office Actions, Litigation, PTAB\n\n### Scripts\n- `scripts\u002Fpatent_search.py` - PatentSearch API client\n- `scripts\u002Fpeds_client.py` - PEDS examination data client\n- `scripts\u002Ftrademark_client.py` - Trademark search client\n",{"name":5,"description":7},"main","2b749c82b5d11fac39d9a6e021ce3f5b8a541bd1","cli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fuspto-database",3931,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates","https:\u002F\u002Faitmpl.com","https:\u002F\u002Fgithub.com\u002Fdavila7","https:\u002F\u002Fdanielavila.me","Building AI dev tools with LLMs","2026-11-14 06:14:46",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add davila7\u002Fclaude-code-templates --skill uspto-database",{"tool":60,"command":61},"bunx","bunx skills add davila7\u002Fclaude-code-templates --skill uspto-database",{"tool":63,"command":64},"pnpm","pnpm dlx skills add davila7\u002Fclaude-code-templates --skill uspto-database","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fuspto-database\u002FSKILL.md",true,[68,74,78,82,86,92,96],{"path":69,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":72,"sourceHtmlUrl":73},"references\u002Fadditional_apis.md","REFERENCE","参考文档",9773,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fuspto-database\u002Freferences\u002Fadditional_apis.md",{"path":75,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002Fpatentsearch_api.md",7435,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fuspto-database\u002Freferences\u002Fpatentsearch_api.md",{"path":79,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002Fpeds_api.md",6546,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fuspto-database\u002Freferences\u002Fpeds_api.md",{"path":83,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":84,"sourceHtmlUrl":85},"references\u002Ftrademark_api.md",9754,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fuspto-database\u002Freferences\u002Ftrademark_api.md",{"path":87,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":90,"sourceHtmlUrl":91},"scripts\u002Fpatent_search.py","SCRIPT","脚本",9072,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fuspto-database\u002Fscripts\u002Fpatent_search.py",{"path":93,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":94,"sourceHtmlUrl":95},"scripts\u002Fpeds_client.py",9602,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fuspto-database\u002Fscripts\u002Fpeds_client.py",{"path":97,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":98,"sourceHtmlUrl":99},"scripts\u002Ftrademark_client.py",10564,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fuspto-database\u002Fscripts\u002Ftrademark_client.py",[101,130,157,186,221,245],{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":110,"publishedAt":39},"01M70NHBTQ8BV0A2SCAZXEPHCX","wealthville-pool-scoring","Score DeFi liquidity pools before providing liquidity. Returns a 0-100 pool score and an Enter\u002FHold\u002FExit\u002FReduce\u002FAvoid verdict with calibrated confidence for ~68,800 Solana pools and 575 EVM pools, plus a public miss-inclusive track record. Use when asked whether a pool is worth LPing into, which pools look best right now, or how accurate the scores have actually been.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fweb-data\u002Fwealthville-pool-scoring\u002FSKILL.md",[107],{"categoryNo":108,"categoryName":109,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[111,112,113,114,115,37,116,117,118,119,120,121,122,123,124,125,126,127,128,129],"scoring","pool","wealthville pool scoring","liquidity","which","exit","now","use","when","reduce","with","record","track","verdict","evm","solana","how","public","look",{"skillNo":131,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":134,"categories":135,"keywords":137,"publishedAt":39},"01M70MB6VR8ERJ4EM8D5KHBMEV","technical-debt-auditor","Scans a codebase and produces a quantified technical debt report with a prioritized remediation plan. Analyzes dead code, TODO\u002FFIXME\u002FHACK markers, dependency staleness, complexity hotspots, code duplication signals, test coverage gaps, unused exports, and outdated patterns. Use this skill when the user asks to audit their codebase for tech debt, wants a health check of their code quality, says things like \"where should I focus refactoring\", \"find code smells\", \"audit my codebase\", \"what technical debt do we have\", \"prioritize cleanup work\", or asks about code quality metrics. Also trigger when the user mentions \"code rot\", \"legacy cleanup\", \"refactoring priorities\", or wants to understand the overall health of a project before a major effort. Trigger even if the user doesn't say \"technical debt\" explicitly — any request to systematically assess code quality and identify improvement priorities belongs here.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Ftechnical-debt-auditor\u002FSKILL.md",[136],{"categoryNo":108,"categoryName":109,"taxonomyType":21,"taxonomyTypeDesc":22},[138,139,140,141,142,143,144,145,146,147,148,119,149,150,151,152,153,154,155,156],"technical debt","debt","technical","technical debt auditor","auditor","coverage","complexity","markers","project","cleanup","unused","code","todo","work","plan","focus","signals","audit","dependency",{"skillNo":158,"name":159,"nameZh":6,"description":160,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":161,"categories":162,"keywords":170,"publishedAt":39},"01M70KPYH9QNHCNME5GJQGE22K","readonly-sql-guard","Make an agent's database access provably read-only. Use when an agent runs caller-supplied SQL against a production\u002FERP\u002Fanalytics database (a \"query\" MCP tool, text-to-SQL, an admin console), or when reviewing DB-access code for write\u002FDDL\u002Fside-effect\u002Ftransaction-escape risks. Checks what a statement CALLS, not just its shape.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdatabase\u002Freadonly-sql-guard\u002FSKILL.md",[163,164,165],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":108,"categoryName":109,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":166,"categoryName":167,"taxonomyType":168,"taxonomyTypeDesc":169},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[171,172,173,174,175,176,177,37,178,179,180,181,182,183,184,118,31,24,119,185],"readonly","guard","sql guard","sql","readonly sql guard","erp","effect","read-only","db","just","tool","calls","only","MCP","query",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":190,"licenseFileUrl":191,"sourceHtmlUrl":192,"categories":193,"keywords":197,"publishedAt":39},"01M6AFY6F7CC2BBZP1QD6VTNVC","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[194],{"categoryNo":195,"categoryName":196,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,37,220],"artifacts builder","web","web artifacts builder","artifacts","builder","state","routing","state management","component","css","frontend","ui","Tools","file","components","shadcn","react","Tailwind","suite","jsx","html","single-file","ui components",{"skillNo":222,"name":223,"nameZh":6,"description":224,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":190,"licenseFileUrl":225,"sourceHtmlUrl":226,"categories":227,"keywords":232,"publishedAt":39},"01M6AFWF33SFV9Z3SF4PEEE4BF","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[228,231],{"categoryNo":229,"categoryName":230,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":195,"categoryName":196,"taxonomyType":21,"taxonomyTypeDesc":22},[233,234,235,236,237,199,238,208,209,239,240,241,242,37,243,121,244],"webapp testing","testing","webapp","browser","playwright","applications","debugging","toolkit","logs","screenshots","local","behavior",{"skillNo":246,"name":247,"nameZh":6,"description":248,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":190,"licenseFileUrl":249,"sourceHtmlUrl":250,"categories":251,"keywords":259,"publishedAt":39},"01M6AF67Q67JJJ5V51JR2P52KA","discernment-nudge","After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FSKILL.md",[252,255,256],{"categoryNo":253,"categoryName":254,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":108,"categoryName":109,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":257,"categoryName":258,"taxonomyType":168,"taxonomyTypeDesc":169},"01JBSEEDCAT000000000000036","内容创作者",[260,261,262,263,264,265,266,267,201,268,211,149,269,270,271,272,273,183,274,119,275,30,276,277,278,127,279],"discernment nudge","nudge","interpretation","help","run","reasoning","data","writing","lookup","content","review","conversation","short","up","invoke","you","claims","argument","assemble","recommendations"]