What problem does it solve? Engineering agents need to know which language and framework conventions apply before writing code, and manually choosing the right stack-specific guidance for every task is error-prone and inconsistent. ## Core Features & Use Cases - File-Based Detection: Maps file extensions like .java, .go, .rs, .py, and .tsx to the corresponding stack skills. - Project Marker Detection: Inspects root-level build files such as pom.xml, go.mod, Cargo.toml, pyproject.toml, and package.json when file-level signals are ambiguous. - Mixed-Stack Support: Loads multiple stack skills simultaneously for tasks spanning several technologies, such as a Go backend with a React frontend. - Use Case: An engineer starts a task touching a TypeScript React component and a SQL migration; the skill detects both signals and loads javascript-stack, react-stack, and database-stack together. ## Quick Start Ask the agent to detect the technology stack of the files in this task and load the appropriate stack skills before implementing.