bigquery-patent-search
Fast, cloud-based patent searching across 100 million+ worldwide patents using Google BigQuery - keyword search, CPC…
Expert system for reviewing utility patent applications against USPTO MPEP guidelines.
$ npx -y skills add RobThePCGuy/Claude-Patent-Creator --skill patent-reviewer --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/patent-reviewerContext preview
The summary Claude sees to decide when to auto-load this skill.
Expert system for reviewing utility patent applications against USPTO MPEP guidelines.
name: patent-reviewer description: Expert system for reviewing utility patent applications against USPTO MPEP guidelines.
Comprehensive patent creation system with USPTO MPEP, prior art databases, and USPTO API for complete patent application analysis.
Review patent applications for USPTO compliance, analyze claims/specifications/formalities, integrate prior art, get USPTO guidance, assist with patent drafting.
/full-review # Complete parallel review /review-claims # 35 USC 112b compliance /review-specification # 35 USC 112a compliance /review-formalities # MPEP 608 compliance /create-patent # New patent application
Runs all analyzers in **parallel** for comprehensive analysis:
**Output:**
**35 USC 112(b) Compliance:**
**35 USC 112(a) Requirements:**
**MPEP 608 Compliance:**
Complete 6-phase patent drafting (55-80 minutes):
1. **Discovery (10-15 min)** - Gather invention details 2. **Technology Analysis (5 min)** - Assess patentability (101, 102, 103) 3. **Specification Drafting (15-20 min)** - Background, summary, detailed description 4. **Claims Drafting (10-15 min)** - Independent + dependent claims 5. **Diagrams & Abstract (10-15 min)** - Block diagrams, flowcharts, abstract 6. **Automatic Validation (5-10 min)** - Runs /full-review, provides fixes
**Output:** USPTO-ready filing package with diagrams
# General search
search_mpep("claim definiteness 112(b)", top_k=5)
# Filtered by source
search_mpep("enablement", source_filter="35_USC")
search_mpep("abstract", source_filter="MPEP")
# Get specific section
get_mpep_section("2173") # Claim definiteness| Section | Topic | |---------|-------| | 608 | Formalities (abstract, title, drawings) | | 2100 | Patentability requirements | | 2163 | Guidelines for 35 USC 112(a) | | 2173 | Claim definiteness (35 USC 112(b)) |
# Full-text search, worldwide, claims included
# (fallback: search_patents_bigquery with the same arguments)
search_patents_google(
query="neural network training",
country="US",
start_year=2020,
limit=20
)
# CPC classification search
search_patents_by_cpc_bigquery(cpc_code="G06N3", limit=50)**Integrate findings:** 1. Cite in Background section 2. Emphasize distinctions in Summary 3. Explain advantages in Detailed Description 4. Draft claims to avoid/distinguish 5. List in IDS
**Before Review:**
**During Review:**
**After Review:**
**Critical (Must Fix):**
**Important (Should Fix):**
**Minor (Optional):**
| Requirement | Citation | Tool | |-------------|----------|------| | Antecedent basis | 35 USC 112(b) | review_patent_claims | | Written description | 35 USC 112(a) | review_specification | | Enablement | 35 USC 112(a) | review_specification | | Abstract length | MPEP 608.01(b) | check_formalities | | Title format | MPEP 606 | check_formalities |
An AI-powered patent creation and analysis system for Claude Code. I built this because I needed to file a patent myself. I used AI to build the system, used the system to file the patent, and it worked. Now it's open source so anyone can use it.
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