patent-software-ip

# Patent & Software Copyright Generation (AI + Big Data) Generate CNIPA invention patent documents or CPCC software copyright materials from AI / big-data project code, design docs, and research papers. **Covers 7 AI domains + Big Data (23 sub-directions), 11 claim templates.** Full version (Chinese, with Word/PPT output): see `AI-Copyright-Skill` project. ## Triggers patent / claims / specification / software copyright / disclosure / IP application / paper-to-patent / `/patent-software-ip` ## Overall Flow ``` Phase A Requirement Diagnosis -> path + domain classification + risk level Phase B Project Analysis -> auto-detect domain + extract key technical points Phase C Generation (branch by path) C1 Patent: prior art search -> claims (11 templates) -> specification -> abstract -> self-check C2 Software Copyright: manual -> source code doc -> self-check Phase D Iterative Correction ``` ## Phase A: Requirement Diagnosis Confirm: path (patent/copyright/both), tech topic, applicant/inventor info, existing materials. **Auto domain classification** (see Section "AI Domain Taxonomy" below). **Gate**: 3-5 line diagnosis summary including domain + risk level. ## AI Domain Taxonomy | Domain | Sub-directions | High-Risk Flags | |--------|---------------|-----------------| | **D1 Perceptual Intelligence** | 2D vision, 3D vision, multi-sensor fusion | 3D vision: bind 4-stage pipeline | | **D2 Cognition & Language** | NLP, multimodal LLM, RAG, knowledge graph | RAG: sho...