What problem does it solve? AI coding agents produce wrong patterns, hallucinated APIs, and convention violations when they lack the right project context. This Skill structures what the agent sees — CLAUDE.md rules files, specs, source files, error output, and conversation history — so .NET/C# projects get consistent, convention-following output. ## Core Features & Use Cases - Five-level context hierarchy: Organizes context from persistent rules files (CLAUDE.md, .editorconfig) down to transient conversation history, with .NET-specific templates covering solution layout, dotnet CLI commands, and naming conventions. - Context packing strategies: Provides brain-dump, selective-include, and hierarchical-summary templates for loading only task-relevant files, plus MCP server integrations (Context7, Microsoft Learn, PostgreSQL/SQL Server). - Confusion management: Supplies explicit patterns for surfacing spec conflicts, missing requirements, and inline plans instead of silently guessing. - Use Case: When starting a new Avalonia/ASP.NET Core session, generate a CLAUDE.md covering tech stack, solution layout, build/test commands, and boundaries so the agent stops inventing APIs and follows project conventions. ## Quick Start Set up a CLAUDE.md and context strategy for my .NET 8 Avalonia project so the agent follows our conventions.
