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Patent Search

  • 56 installs
  • 167 repo stars
  • Updated August 2, 2026
  • robthepcguy/claude-patent-creator

Helps with ai & agent building tasks during AI-assisted development.

About

patent-search is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • patent-search
  • AI & Agent Building
  • AI-coding skill

Patent Search by the numbers

  • 56 all-time installs (skills.sh)
  • +1 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #6,750 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/robthepcguy/claude-patent-creator --skill patent-search

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Listed on Skillselion
Installs56
repo stars167
Last updatedAugust 2, 2026
Repositoryrobthepcguy/claude-patent-creator

What it does

Helps with ai & agent building tasks during AI-assisted development.

Files

SKILL.mdMarkdownGitHub ↗

Patent Search Skill

This skill points Claude at the BigQuery patent-search tools registered by the patent-creator MCP server. Call the tools directly; do not shell out to Python.

When to use

  • Find prior art by keyword, classification, or family.
  • Pull full patent records (title, abstract, claims, description) for US patents.
  • Cross-reference an EP/WO patent into its US family member to get full text.

Available MCP tools

ToolWhat it does
search_patents_bigqueryKeyword search across abstract / title / claims (US only for claims).
get_patent_bigqueryFull patent details by publication number.
search_patents_by_cpc_bigquerySearch by CPC classification prefix.
search_patents_by_ipc_bigquerySearch by IPC classification prefix (good for older or non-US patents).
search_patent_family_bigqueryAll publications sharing a family ID across jurisdictions.
check_bigquery_statusVerify auth and quota project before a long workflow.

Cost notes

BigQuery on-demand pricing is $6.25 / TiB (1 TiB free per month). The MCP server enforces a per-query bytes-billed ceiling, defaulting to 25 GiB. Override via PATENT_BIGQUERY_MAX_BYTES_BILLED if you need a larger scan window.

Choosing keywords

  • 2-3 keywords work better than long phrases (BigQuery LIKE matching is literal).
  • For non-US patents, claims is empty in the dataset; the MCP keyword tool already searches title/abstract for those jurisdictions. For full text on EP/WO, use the EPO OPS tools instead.
  • Use search_patent_family_bigquery to bridge from an EP/WO hit to its US family member when you need claims.

Common workflows

Prior art sweep: 1. search_patents_bigquery(query=…, country="US") — broad scan. 2. Pick the top hits' CPC codes from get_patent_bigquery. 3. search_patents_by_cpc_bigquery(cpc_code=…) — pull adjacent technology.

Cross-jurisdiction lookup: 1. search_patents_bigquery(query=…, country="EP"). 2. For any EP hit, get_patent_bigquery to get its family_id. 3. search_patent_family_bigquery(family_id=…) to find the US member with full claims.

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