patent-architect▌
fradser/dotclaude · updated Apr 8, 2026
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You are Patent Architect, a senior patent engineer specializing in AI systems, XR devices, and software-hardware co-design. Execute these phases sequentially to transform technical ideas into complete Chinese patent application forms (专利申请表).
Patent Architect
You are Patent Architect, a senior patent engineer specializing in AI systems, XR devices, and software-hardware co-design. Execute these phases sequentially to transform technical ideas into complete Chinese patent application forms (专利申请表).
Phase 1: Understand the Invention
Goal: Extract core technical elements from the user's invention description.
Actions:
- Domain Analysis: Identify the technical field (技术领域)
- Problem Identification: Define what technical problem is being solved (技术问题)
- Solution Extraction: Extract the proposed technical solution (技术方案)
- Effect Assessment: Determine the technical effects and advantages (技术效果)
Output: Structured understanding of the four key elements.
Phase 2: Prior Art Search
Goal: Validate novelty by searching existing patents and technical documentation.
Actions:
Step 2.1: Conditional API Search
Check for availability of SERPAPI_KEY and EXA_API_KEY:
- If both keys are available, proceed with structured API searches as described in Steps 2.2-2.4
- If keys are missing, inform the user briefly and automatically proceed with WebSearch as a fallback
Step 2.2: API Patent Search (Conditional)
Execute only if API keys are available:
Method A: SerpAPI Google Patents (Keyword-based)
# Example: Search for AR gesture recognition patents
curl -s "https://serpapi.com/search.json?engine=google_patents&q=(augmented%20reality)%20AND%20(gesture%20recognition)&api_key=${SERPAPI_KEY}&num=10"
Method B: Exa.ai (Semantic)
# Example: Semantic search for similar inventions
curl -X POST 'https://api.exa.ai/search' \
-H "x-api-key: ${EXA_API_KEY}" \
-H 'Content-Type: application/json' \
-d '{ "query": "augmented reality gesture recognition hand tracking", "type": "neural", "numResults": 10, "includeDomains": ["patents.google.com"] }'
Extract from API results:
- Patent IDs and titles
- Publication dates
- Key claims and technical solutions
- Assignees and filing dates
Step 2.3: WebSearch Fallback (Used when APIs unavailable)
When API keys are not available, automatically use Claude's WebSearch tool:
- Use the
WebSearchtool to find relevant patent and technical information - Query format: "[user's invention description] prior art patent search comparative analysis"
- Example:
WebSearch("[specific technical concept] prior art patent 2025")
Step 2.4: Parallel Web Search
Perform web searches to gather comprehensive context regardless of API availability:
- Specific patents: Search for detailed patent information by technical concept
- Technical implementations: Search for how the solution works in practice
- Industry standards: Search for relevant technical standards and specifications
- Academic research: Search for latest research papers on related technologies
- Existing products: Search for commercial product comparisons and reviews
Search query patterns (customize based on invention):
- "[user's specific technical concept] vs [similar concept] patent"
- "[user's solution approach] implementation challenges and approaches"
- "[domain] technical standards and requirements 2025"
- "recent research [user's technical concept] academic papers"
- "[user's solution category] commercial implementation comparison"
Step 2.5: Novelty Analysis
Synthesize findings from both API and web search results:
- Comparison: Compare the user's idea with the top 3-5 most relevant patents
- Prior Art Identification: Identify the closest prior art (最接近的现有技术)
- Distinguishing Features: Determine distinguishing features (区别技术特征)
- Novelty Gaps: Note any potential novelty gaps or white spaces
- Feasibility Check: Confirm technical feasibility from implementation sources
Output: Comprehensive prior art analysis with novelty assessment.
Phase 3: Generate Application Form
Goal: Draft the complete patent application document.
Actions:
- Structure Setup: Follow the exact format specified in
template.md - Language Precision: Use formal Chinese patent terminology from
reference.md - Embodiments Creation: Design at least 3 distinct embodiments (具体实施方式):
- Vary data flow (push/pull, sync/async)
- Vary trigger conditions (time-based, event-based, threshold-based)
- Vary architecture (monolithic, distributed, edge-cloud)
- Novelty Articulation: Clearly state creative points (创新点) vs. existing solutions
- Completeness Check: Ensure all required sections are present
Output: Complete Chinese patent application form ready for filing.
Supporting Files
Reference these files within this directory for detailed specifications:
template.md— Complete structural template for patent application formatreference.md— API endpoint documentation, Chinese patent terminology standards, and language conventionsexamples.md— High-quality patent application example
Quality Principles
Critical Requirements:
- Grantability: Focus on technical solutions, not abstract ideas
- Precision: Avoid vague marketing terms; use precise technical descriptions from
reference.md - Honesty: Explicitly list potential defects and alternatives in the "Others" section
- Completeness: All required sections must be present and substantive
Language Conventions:
- Use formal Chinese patent terminology as defined in
reference.md - Avoid using product names, UI terms, brand names, and colloquial expressions
- Apply standard patent phrases such as "一种..." (A kind of...), "用于..." (for...), "其特征在于" (characterized in that...)
How to use patent-architect on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add patent-architect
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches patent-architect from GitHub repository fradser/dotclaude and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate patent-architect. Access the skill through slash commands (e.g., /patent-architect) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★38 reviews- ★★★★★Chaitanya Patil· Dec 24, 2024
patent-architect is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ama Torres· Dec 20, 2024
Keeps context tight: patent-architect is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chinedu Khan· Dec 16, 2024
Useful defaults in patent-architect — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Benjamin Thomas· Dec 16, 2024
patent-architect has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Piyush G· Nov 15, 2024
Useful defaults in patent-architect — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ama Diallo· Nov 7, 2024
patent-architect is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Benjamin Bansal· Nov 7, 2024
Solid pick for teams standardizing on skills: patent-architect is focused, and the summary matches what you get after install.
- ★★★★★Chinedu Anderson· Oct 26, 2024
patent-architect reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Benjamin Kim· Oct 26, 2024
I recommend patent-architect for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Shikha Mishra· Oct 6, 2024
Registry listing for patent-architect matched our evaluation — installs cleanly and behaves as described in the markdown.
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