prior-art-search
Search patent databases and academic literature for prior art relevant to an invention
Install / Use
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill prior-art-searchInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Data & AnalyticsSupported Platforms
Our assessment of prior-art-search
prior-art-search scores 89/100 on our quality scale, 90th of 219 Data & Analytics skills we index (top 42%).
Its SKILL.md is 5.4 KB long, well organised into 20 sections with 2 code examples: a solid amount of guidance for an agent.
With 16,644 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 7 days ago, so prior-art-search is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
prior-art-search compared with similar skills
All 4 of these similar skills score higher than prior-art-search; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| prior-art-search (this skill)by wanshuiyin | 89 | 16.6k | 7d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 4d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 4d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 5d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 5d ago | SKILL.md |
Frequently asked questions
- How do I install prior-art-search?
- Run
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill prior-art-search. The install tabs above show the steps for each supported agent. - Which AI agents does prior-art-search work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is prior-art-search safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is prior-art-search still maintained?
- The repository was last updated 7 days ago, so prior-art-search is actively maintained.
Skill content
View source on GitHubname: prior-art-search description: "Search patent databases and academic literature for prior art relevant to an invention. Use when user says "现有技术检索", "prior art search", "专利检索", "check patents", or wants to find relevant prior art." argument-hint: "[invention-description-or-path]" allowed-tools: Bash(*), Read, Glob, Grep, WebSearch, WebFetch, Write
Prior Art Search
Search patents and literature for prior art relevant to: $ARGUMENTS
Adapted from /research-lit for patent-specific searching.
Constants
MAX_PATENT_RESULTS = 20— Maximum patent documents to analyze in detailMAX_PAPER_RESULTS = 15— Maximum academic papers to analyze in detailSEARCH_YEARS = 10— How many years back to searchPATENT_DATABASES = "google-patents, espacenet"— Patent databases to search
Inputs
Read the invention description from:
$ARGUMENTSif it contains technical detailspatent/INVENTION_BRIEF.mdif it existsINVENTION_BRIEF.mdif it exists at project root
Shared References
Load ../shared-references/prior-art-databases.md for search strategy templates and IPC/CPC classification guidance.
Workflow
Step 1: Extract Search Concepts
From the invention description, identify:
- Core inventive concept: The primary technical contribution (1-2 sentences)
- Technical problem: What problem it solves
- Key technical features: 4-6 specific technical elements that define the invention
- IPC/CPC classes: Predict relevant classification codes (e.g., G06N, G06F)
Step 2: Patent Search
For EACH search concept, search via:
Google Patents (via WebSearch):
WebSearch: "site:patents.google.com [keywords]"
WebSearch: "[keywords] patent"
- Try primary keywords + technical problem keywords
- Search in English regardless of target jurisdiction
- For CN inventions, also search Chinese keywords via WebSearch
Espacenet (via WebFetch):
- WebFetch worldwide.espacenet.com/search results for key queries
- Search by predicted IPC/CPC classes
Assignee/Inventor Search:
- If known companies/universities work in this area, search their patent portfolios
- WebSearch: "[assignee name] patent [technical area]"
For each potentially relevant patent found:
- WebFetch the patent page to extract: title, abstract, representative claims, filing date, assignee, current status
- Record IPC/CPC classification codes
Step 3: Academic Literature Search
Search the same concepts in academic databases:
- Google Scholar (via WebSearch):
WebSearch "[keywords] site:scholar.google.com" - arXiv (via
/arxivif available, or WebSearch): Search for preprints - Semantic Scholar (via
/semantic-scholarif API key set, or WebSearch)
For each relevant paper found:
- Extract title, authors, venue, year, key contribution
Step 4: Classification and Analysis
For each reference found, assess:
- Relevance: How closely does it relate to the invention?
- Overlap Risk: Does it disclose the same or similar technical solution?
- HIGH: Anticipates one or more claim elements
- MEDIUM: Discloses a related but different approach
- LOW: Same general field, different approach
- Relationship: Is it anticipating, relevant, or merely background?
Organize results by IPC/CPC classification to see the technical landscape.
Step 5: Freedom-to-Operate Assessment (Preliminary)
Based on the search results:
- Identify patents with claims that potentially cover the invention
- Note any expired patents (public domain)
- Flag areas where claim scope overlap is significant
Disclaimer: This is a preliminary assessment only. A professional freedom-to-operate analysis by a patent attorney is recommended before filing.
Step 6: Output
Write patent/PRIOR_ART_REPORT.md with:
## Prior Art Search Report
### Invention Summary
[1-2 sentence description of the searched invention]
### Search Strategy
- Keywords used: [...]
- IPC/CPC classes searched: [...]
- Databases searched: Google Patents, Espacenet, Google Scholar, arXiv
- Date range: [year] to present
### Patent References Found
| # | Patent No. | Title | Date | Assignee | IPC/CPC | Key Teaching | Overlap Risk |
|---|-----------|-------|------|----------|---------|-------------|-------------|
| 1 | CN... / US... | [title] | [date] | [assignee] | [codes] | [2-3 sentences] | HIGH/MEDIUM/LOW |
### Non-Patent Literature Found
| # | Reference | Title | Authors/Venue | Year | Key Contribution | Relevance |
|---|-----------|-------|--------------|------|-----------------|-----------|
| 1 | [DOI/link] | [title] | [authors] | [year] | [1-2 sentences] | HIGH/MEDIUM/LOW |
### Prior Art Landscape
[Organized by technical approach or IPC class, not just chronological]
### Freedom-to-Operate Preliminary Assessment
[Which existing patents might block the invention? What is the risk level?]
### Recommendations
- Suggested claim scope adjustments based on prior art
- Areas where novelty appears strongest
- References to watch during prosecution
Key Rules
- Never fabricate patent numbers or citations. Mark uncertain references with
[VERIFY]. - Search in English AND the target jurisdiction language (Chinese for CN).
- Patent prior art includes everything published before the priority date, not just patents.
- Academic papers are valid prior art for both novelty and inventive step.
- Include expired patents -- they are public domain but still relevant for novelty.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
