Patent Claim Mapper

Workflow

above for related details. Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable. Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script. Primary implementation surface: scripts/main.py . Reference guidance: references/ contains supporting rules, prompts, or checklists. Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints. Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects. Quick Check Use this command to verify that the packaged script entry point can be parsed before deeper execution. python -m py_compile scripts/main.py Audit-Ready Commands Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths. python -m py_compile scripts/main.py python scripts/main.py -- help Workflow Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions. Use the packaged script path or the documented reasoning path with only the inputs that are actually available. Return a structured result that separates assumptions, deliverables, risks, and unresolved items. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion. Quick Start from scripts.claim_mapper import ClaimMapper

mapper = ClaimMapper()

Map claims to product

mapping = mapper.analyze( patent_claims= "patent_claims.txt" , product_description= "product_spec.txt" ) Core Capabilities

1. Claim Parsing claims = mapper.parse_claims( patent_file= "US10123456B2.pdf" , independent_only= False )
2. Feature Mapping mapping = mapper.map_to_product( claim= "A monoclonal antibody that binds to PD-1..." , product_features=product_specs ) Mapping Results: Fully covered : Product implements claim Partially covered : Some elements present Not covered : Claim element missing Questionable : Requires legal review
3. Gap Analysis gaps = mapper.identify_gaps( mapping_results, strategy= "design_around" ) CLI Usage python scripts/claim_mapper.py
   --patent US10123456B2
   --product product_spec.txt
   --output mapping_report.pdf Skill ID : 213 | Version : 1.0 | License : MIT Output Requirements Every final response should make these items explicit when they are relevant: Objective or requested deliverable Inputs used and assumptions introduced Workflow or decision path Core result, recommendation, or artifact Constraints, risks, caveats, or validation needs Unresolved items and next-step checks Error Handling If required inputs are missing, state exactly which fields are missing and request only the minimum additional information. If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment. If scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback. Do not fabricate files, citations, data, search results, or execution outcomes. Input Validation This skill accepts requests that match the documented purpose of patent-claim-mapper and include enough context to complete the workflow safely. Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond: patent-claim-mapper only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill. References references/audit-reference.md

• Supported scope, audit commands, and fallback boundaries Response Template Use the following fixed structure for non-trivial requests: Objective Inputs Received Assumptions Workflow Deliverable Risks and Limits Next Checks If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.