Agent skill · Databases

uspto-database

Access USPTO patent data via PatentsView REST API and Google Patents Public Data (BigQuery). Search by inventor, assignee, CPC, or keywords; download metadata and claims; analyze portfolios; track tech trends. For IP landscape analysis, competitor monitoring, prior art search, and tech forecasting in life sciences and biotech.

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claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill uspto-database --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 18 KB
Bundled scripts: none
Path: skills/sciagent/uspto-database/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# uspto-database ## Overview The USPTO provides two primary programmatic access points for patent data: the **PatentsView API** (REST, free, no key required for basic use) for structured queries by inventor, assignee, CPC classification, and keywords; and **Google Patents Public Data** (BigQuery public dataset) for large-scale analytics across the full patent corpus. Both expose data under the CC0 Public Domain Dedication. This skill covers Python-based access patterns for both, plus basic patent portfolio analytics. ## When to Use - **Prior art search**: Finding existing patents relevant to a technology before filing or to assess freedom-to-operate. - **Competitor IP landscape analysis**: Querying all patents from a specific assignee (company or institution) to map their technology portfolio. - **CPC classification search**: Finding patents in a specific technology area using Cooperative Patent Classification codes (e.g., C12N for nucleotides/genetic engineering). - **Inventor network analysis**: Identifying prolific inventors in a field and their institutional affiliations. - **Technology trend tracking**: Counting patent filings by year and technology category to identify emergi

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Prerequisites
  4. Quick Start
  5. Core API
  6. Query Type 1: Search by Assignee (Company / Institution)
  7. Query Type 2: Search by CPC Classification
  8. Query Type 3: Full-Text Keyword Search
  9. Query Type 4: Inventor Search
  10. Query Type 5: Date Range and Combined Filters
  11. Query Type 6: Google Patents BigQuery
  12. Key Parameters
  13. Best Practices
  14. Common Workflows
Commands it runs
pip install requests pandas matplotlib
pip install google-cloud-bigquery  # optional: for BigQuery access
More from awesome-bio-agent-skills
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About this skill
What does the uspto-database skill do?

Access USPTO patent data via PatentsView REST API and Google Patents Public Data (BigQuery). Search by inventor, assignee, CPC, or keywords; download metadata and claims; analyze portfolios; track tech trends. For IP landscape analysis, competitor monitoring, prior art search, and tech forecasting in life sciences and biotech.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill uspto-database --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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