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affaan-m/uspto-database

米国特許商標庁(USPTO)の特許・商標データを活用したワークフロー:公式記録の検索、PatentSearchクエリ、TSDR確認、譲渡データ、再現可能な知的財産調査ログを提供します。

uspto-database とは?

このスキルは、USPTO(米国特許商標庁)の公開データベースとAPIを活用して、特許・商標に関する公式記録の検索、PatentSearchクエリによる先行技術調査、TSDR(商標検索・登録システム)のステータス確認、譲渡データの取得、そして調査結果の再現可能なログ記録を可能にします。開発者や知的財産研究者は、このスキルを使ってUSPTOの膨大なデータにプログラムからアクセスし、調査プロセスを自動化・標準化できます。主にClaude CodeやCursor、CodexなどのAIエージェントプラットフォームで動作し、自然言語インターフェースを通じて複雑な特許・商標調査を効率化します。スキルはREST APIクエリ、データパース、結果の構造化ログ出力を組み合わせており、チーム間での再現性と透明性を確保します。

対応~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/uspto-database

Installed? Explore more 研究&データ分析 skills: affaan-m/scholar-evaluation, affaan-m/literature-review, affaan-m/everything-claude-code · View all 6 →

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ドキュメント

uspto-database は何をしますか?

USPTO(米国特許商標庁)の特許・商標データを活用したワークフロー:公式記録の検索、PatentSearchクエリ、TSDR確認、譲渡データ、再現可能な知的財産調査ログを提供します。

概要

このスキルは、USPTOの公開APIおよびデータソースにアクセスし、以下の操作を自然言語インターフェースで実行します:

  • 特許・商標の公式記録検索
  • PatentSearchクエリの実行
  • TSDR(Trademark Status & Document Retrieval)の確認
  • 譲渡データの取得
  • 調査結果の再現可能なログ記録

対応プラットフォーム

  • Claude Code
  • Cursor
  • Codex
  • その他AIエージェント

使用方法

  1. 特許または商標に関するクエリを自然言語で入力します。
  2. スキルが自動的にUSPTOの該当APIにクエリを実行します。
  3. 結果が構造化された形式で返され、必要に応じてログに保存されます。

クエリ例

専利番号 US1234567 の最新ステータスを確認して
商標「ExampleMark」の登録状況を調べて
譲渡データを会社名 ABC Corp で検索して

環境変数

  • USPTO_API_KEY: USPTO APIキー(必要な場合)

注意事項

  • このスキルは公開データにのみアクセスします。
  • 結果の正確性についてはUSPTO公式データを確認してください。
  • 大量のクエリを実行する場合はレート制限に注意してください。

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

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