mcp-cipher-complex-analysis

What problem does it solve?

This Skill streamlines the time-consuming and fragmented process of deep technical research, architectural design, and strategic decision-making. It centralizes knowledge, accelerates library investigation, and preserves critical design rationale, allowing you to focus on innovation.

Core Features & Use Cases

• Design Pattern Search: Discover past architectural decisions, implementation patterns, and lessons learned from project memory.
• Library Research (context7): Access official documentation and API references for major Python libraries directly, ensuring accurate technical understanding.
• Long-Term Knowledge Storage: Persist design choices, technical justifications, and best practices for future reference, building a valuable knowledge base.
• Use Case: Before starting a major refactoring, use cipher_memory_search to review similar past refactorings, context7 to research new library versions, and cipher_store_reasoning_memory to document the new architectural approach.

Quick Start

Example: Search for past design patterns

cipher_memory_search( query="widget communication pattern direct signal slot" )

Example: Get PySide6 threading documentation

pyside_id = mcp__context7__resolve-library_id(library_name="pyside6") mcp__context7__get-library-docs( library_id=pyside_id, section="threading" )

Example: Store a design decision

cipher_store_reasoning_memory( title="LoRAIro Async Processing Pattern Selection", content="Adopted QRunnable/QThreadPool for lightweight tasks." )