project-awareness

Project context detection consolidates fragmented information across monorepo or multi-repo setups into a single structured view. It analyzes project type, tech stack, team assignments, recent git activity, and open PRs to create both a display-ready summary and a data payload for downstream workflows.

Yes, project context detection applies to both monorepo and multi-repo software projects. It works across web, API, CLI, and mobile stacks, reading .aiwg metadata and repository activity to build a comprehensive context object regardless of repository structure.

Project context detection analyzes project type, tech stack, iteration phase, team agent assignments, recent commit history, open pull requests, and artifact status. It consolidates this data to support planning, risk assessment, and decision-making for next steps.

Project context detection requires access to .aiwg project metadata files and repository activity including git logs and open PRs. These inputs enable it to detect project state, build the structured context object, and deliver outputs for downstream skills.

Project context detection produces both a display-ready summary and a structured data payload designed for downstream skills. This context object feeds planning, risk assessment, and other analysis tasks that depend on understanding current project state.