setup-sensemaking-skills

Configuring a repository for an AI agent sensemaking pipeline involves creating agent instructions, workflow mode defaults, and artifact contract references. This setup ensures downstream sensemaking workflows operate consistently across your codebase.

Workflow mode defaults and safety gates in repository setup establish default execution paths like fast versus full modes and permitted run modes to control risk. They require strict interactive user approval before writing any configuration files.

Safely bootstrapping configuration files for a codebase onboarding workflow requires interactive, one-at-a-time user decisions and strict approval gating before any file writes. This ensures only configuration artifacts are managed without executing the pipeline itself.

Yes, you need to run repository setup before executing the sensemaking diagnostic pipeline. The setup creates required agent instructions, artifact contracts, and downstream skill mappings, but it strictly manages configuration artifacts and never executes the diagnostic pipeline itself.

The best way to route documentation for AI agents in a sensemaking workflow is to establish downstream skill mappings during repository setup. This adds links and routing so agents can discover the right documentation at runtime.

No, you cannot use this repository setup tool to directly run codebase diagnostics. It only manages configuration artifacts like agent instructions and workflow defaults, requiring you to run separate downstream workflows like repo-sensemaker for actual diagnostic execution.