Rigour Governance Skills

You can enforce quality gates by registering AI agents and running configured checks like linting and tests before task completion. This ensures agents remain aligned with engineering standards and prevents quality drift during extended automated workflows.

Meta-cognitive governance is the process of monitoring and enforcing engineering standards, project context, and brand identity for AI agents. You need it during long-running coworking tasks where agents might drift from established quality conventions without automated oversight.

You can manage multi-agent sessions by registering each agent to claim a specific task scope. This registration process detects potential conflicts between agents and ensures clear boundaries are maintained throughout the coworking session.

Yes, you can run all configured quality gates including lint, test, and AST checks automatically before task completion. The governance system executes these gates to identify violations and provides detailed fix packets for resolving any detected issues.

The best way to persist project conventions is to use memory persistence features to store critical instructions and brand identity guidelines. This ensures future AI agent sessions automatically reference and align with established project standards without manual reconfiguration.