claims-drafting

Solid

Draft patent claims for an invention. Use when user says "撰写权利要求", "draft claims", "写权利要求书", "claim drafting", or wants to create patent claims. The core skill of the patent pipeline.

AI & Automation 11,977 stars 1099 forks Updated yesterday MIT

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Quality Score: 96/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Claims Drafting: The Core Patent Skill Draft patent claims based on: **$ARGUMENTS** This is the most critical skill in the patent pipeline. Claims define the legal scope of protection -- everything else (specification, figures, abstract) exists to support and enable the claims. ## Constants - `REVIEWER_MODEL = gpt-5.5` — External examiner for claim quality review - `MAX_CLAIM_REVISION_ROUNDS = 3` — Maximum revision iterations - `CLAIM_STYLE = "auto"` — `US` (Jepson or open), `EP` (two-part mandatory), `CN` (two-part), `auto` (detect from jurisdiction) - `MIN_INDEPENDENT_CLAIMS = 2` — Typically method + system. For utility model (实用新型): apparatus/device only, NO method claims. - `MAX_TOTAL_CLAIMS = 20` — Practical limit (USPTO includes 20 in base fee) - `PATENT_TYPE = "invention"` — `invention` (发明专利) or `utility_model` (实用新型, apparatus claims only) ## Inputs 1. `patent/INVENTION_DISCLOSURE.md` — structured invention with core/supporting/optional features 2. `patent/PRIOR_ART_REPORT.md` — prior art to avoid 3. `patent/NOVELTY_ASSESSMENT.md` — novelty analysis with suggested amendments 4. Target jurisdiction from invention disclosure or `$ARGUMENTS` ## Shared References Load `../shared-references/patent-writing-principles.md` for claim drafting principles, antecedent basis rules, and common pitfalls. Load `../shared-references/patent-format-cn.md` for CN claim format (其特征在于). Load `../shared-references/patent-format-us.md` for US claim format (comprising, means-plus-f...

Details

Author
wanshuiyin
Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Created
3 months ago
Last Updated
yesterday
Language
Python
License
MIT

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