project-onboarding

RAG collections centralize project knowledge by organizing documentation, code, decisions, and research into semantic-searchable stores. Use the onboarding script with your project slug and code path to automatically create per-project collections, routing rules, and baseline knowledge ingestion in a unified workspace.

Automate documentation ingestion and semantic routing by running the onboard-project.sh script, which provisions RAG collections, registers routing rules, ingests existing docs and code references, and validates readiness with a test query. This eliminates manual setup and ensures consistent knowledge discovery across teams.

Yes. After running the onboarding script, validate with validate-onboarding.py to check RAG collections, project config, code symlinks, and routing readiness. This verification step confirms all baseline knowledge and semantic search components are functioning correctly.

No. The onboarding process automatically registers routing rules that direct queries to appropriate documentation and code stores, eliminating manual routing configuration. You define the project config and code path, and the Skill handles semantic routing provisioning.

Project onboarding enforces concrete requirements: a project config file, routing definitions, code symlinks, and environment credentials for documentation and code access. The validation step confirms all configuration prerequisites are met before semantic search is operational.

Yes. Specify your existing documentation path and code repository during onboarding. The Skill ingests those references into RAG collections and establishes semantic routing, converting unstructured documentation into a centralized, queryable knowledge base accessible across your team.