Even though the MCP server gives coding agents the tools to interact with Stigg, AI models inherently lack the specific domain knowledge required to structure complex product configurations cleanly. Agent Skills for Claude Code eliminates that trial and error loop by injecting Stigg-specific knowledge, pricing best practices, and safety guardrails directly into Claude's context window, providing developers with the fastest, most structured stack to safely build usage-aware products.
When we launched our MCP server, we focused on a pain point every developer knows too well: context switching. Developers want to work exactly where they already live, inside the terminal and their codebase. By bringing Stigg into your native developer environment via MCP and the CLI, we made it possible to access your Stigg infrastructure and check configurations without constantly bouncing between your browser and your IDE.
But staying inside the terminal is only the first step. The friction shifts when you ask your coding agent to actually build or modify your monetization logic.
Even though the MCP server gives the agent the tools to interact with Stigg, AI models inherently lack the specific domain knowledge required to structure complex product configurations cleanly. When you ask a coding agent to write pricing logic or entitlement gating, it doesn't automatically know the recommended implementation patterns. To get it right, you find yourself stuck in an endless loop of fine tuning prompts, correcting terminology, and continuous testing.
Today, we are eliminating that trial and error loop. We are excited to announce Agent Skills for Claude Code, a powerful plugin that gives AI coding agents the structural domain knowledge they need to safely integrate Stigg into your app.
Pairing with a Stigg Expert
Think of Agent Skills as pairing with a Stigg expert directly inside your terminal. While our MCP server gives agents the tools to take action, Agent Skills give them the brains to use those tools correctly.
Skills work at the prompt layer, injecting Stigg-specific knowledge, pricing best practices, and safety guardrails directly into Claude's context window. They don't make API calls themselves, that is what the MCP server is for. Together, they cover the full loop: know what to do, then do it.
When you ask Claude Code to perform a task, the skill guides you through the process by asking the right questions. It ensures the agent follows the right patterns, uses the correct terminology, executes the right sequence of calls, and avoids common mistakes. Instead of getting generic scaffolding that you have to fix later, you get near-production-ready output from the first prompt.
From Blueprints to Production-Ready Code
Because Agent Skills understand the underlying logic of Stigg, they translate complex, real world requests into accurate architecture without the trial and error.
For instance, if you are designing a new pricing model from scratch and ask Claude to build a freemium structure with monthly credit grants for Pro users and a shared pool for Enterprise, the skills step in. Specialized skills like stigg-pricing-expert and stigg-pricing-modeling pick the right product types and structure the entire catalog of features, plans, and charges correctly.
What Stigg Agent Skills Bring to Claude Code
By providing deep structural context directly inside the prompt layer, Stigg Agent Skills solve the complexity of monetization operations with:
- Pricing Best Practices: Teaches Claude how to cleanly structure complex pricing models, entitlement gating, and checkout sequences.
- Subscription Sequencing: Guides Claude step-by-step through handling upgrades, downgrades, and cancellations properly.
- Safety Guardrails: Guides the agent to avoid common mistakes and protect your production environments while writing integration code.
Making AI Development Structured and Easy
We believe that building products in the AI era should feel fast, intuitive, and seamlessly integrated into your current developer experience.
By combining the structural context provided by MCP, explicit terminal control via the Stigg CLI, and now the expert guidance of Agent Skills for Claude Code, we are providing developers with the fastest, most structured stack to safely build usage-aware products.
