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Installing AI Skills

Mockzilla is an AI-first platform. While the standard MCP tools are powerful, you can supercharge your AI assistant (including specialized agents and compatible CLI tools) by installing Agent Skills.

Skills are specialized instruction sets that teach your AI how to build high-fidelity mocks and complex workflows following Mockzilla's best practices.

1. Universal Installation

You can use the universal npx skills tool to install Mockzilla's expert skills into any compatible agent by pointing to our repository:

npx skills add github.com/andrecrjr/mockzilla

When you run this command, you will be able to select one or more of the following specialized experts:

Official Mock Maker Skill

Expert for creating high-quality, stateless mocks and dynamic schemas using JSON Schema + Faker.

Official Workflow Architect Skill

Specialized skill for designing complex, stateful workflows, logic, and transitions.

Elite Spec Translator Skill

Industrial-grade project bootstrapping from OpenAPI, technical specs, or Jira requirements.

Forensic Logic Doctor Skill

Elite specialist for diagnosing and surgically repairing complex stateful workflows and state issues.

2. Verifying Installation

Once installed, you can verify that the skills are available in your interactive session. For most compatible CLI agents:

  1. Start your AI agent session.
  2. Run the skills listing command (e.g., /skills list).
  3. Verify that mockzilla-mock-maker and mockzilla-workflow-architect appear in the list.

3. How to Use Skills

Skills are activated automatically when you prompt your agent with relevant tasks. For better results, explicitly mention the skill name:

"Use mockzilla-mock-maker to generate a realistic product catalog API."

"Use mockzilla-workflow-architect to design a stateful login flow."

Why use Skills?

  • Expert-Guided: Skills embed our best practices directly into the AI's logic.
  • Spec-Driven: They prioritize building from OpenAPI or JSON Schema.
  • Developer-First: They follow idiomatic Mockzilla patterns (e.g., "Stateless First").
  • Reliability: Ensures the AI doesn't hallucinate non-existent tools or parameters.
  • Efficiency: Reduces the number of turns needed to get a working simulation.

Pro Tip: You can also create your own custom skills to share with your team! See the documentation for your specific AI agent for more details on creating and sharing skills.