The Stigg Governance Skill gives your AI coding assistant the exact context it needs to help implement Usage Governance correctly, from modeling entity hierarchies and assigning usage limits to reporting usage and enforcing budgets.

It eliminates setup friction by training your agent on Stigg's Governance concepts, API patterns, and edge-case handling, taking you from initial hierarchy design to working enforcement in minutes.

✨ What’s New

With the Governance Skill, your AI coding assistant can help you:

• Model entity types and hierarchies: Define multi-level parent-child structures across organizations, departments, teams, users, and AI agents using natural language.
• Assign contextual limits: Configure independent usage limits and reset cadences for features and credit wallets at any node in the hierarchy.
• Attribute multi-dimensional usage: Implement usage events that count against multiple entity levels simultaneously.
• Integrate real-time checks: Write robust entitlement checks that pass contextual metadata (like workspaceId or agentId) for precise access decisions.
• Query tree states: Fetch hierarchy structures, child node usage, and remaining credit balances.

⭐️ Why It Matters

Building multi-tiered governance manually usually means digging through dense API docs and wrestling with complex schema design.

By embedding Stigg's governance architecture directly into your AI assistant's memory, you can simply describe your desired domain model (e.g., "Set up a 1,000 credit monthly cap for Workspaces, with a 50 credit daily sub-limit for AI Agents"), and let your agent generate production-ready code instantly.

📦 Availability

The Governance Skill is available now across Stigg's AI-assisted development tools and MCP server integration.

If you're participating in the Usage Governance Private Beta, update your local Stigg AI skills to start using run: npx @stigg/terminal