shape-your-agent

Craft system prompts for Sanity Agent Context MCP agents.

4|1|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/sanity-io/agent-context --skill shape-your-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: shape-your-agent
Source: https://github.com/sanity-io/agent-context/tree/main/skills/shape-your-agent
Command: npx skills add https://github.com/sanity-io/agent-context --skill shape-your-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides an interactive session to craft a precise system prompt for an AI agent powered by the Sanity Agent Context MCP. It helps users define agent personality, tone, boundaries, guardrails, and refusal behaviors, ensuring consistent behavior across conversations.

Core Features & Use Cases

  • Guided, question-driven prompt design that captures tone, verbosity, and policies.
  • Tools to establish boundaries and refusal rules, reducing misinterpretations.
  • Generates a ready-to-use system prompt that aligns with the MCP Instructions guidance for Sanity data access.

Quick Start

Start the Shape Your Agent session and answer the guided questions to define tone, boundaries, and communication rules for your Sanity Agent Context MCP.

Frequently Asked Questions about shape-your-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a system prompt for a Sanity Agent Context MCP?

To create a system prompt for a Sanity Agent Context MCP, use an interactive question-driven session to define agent personality, tone, boundaries, guardrails, and refusal behaviors, ensuring consistent behavior across conversations.

What are the best guardrails for an AI agent accessing Sanity data?

The best guardrails for an AI agent accessing Sanity data involve setting explicit refusal rules and boundaries during interactive prompt design, reducing misinterpretations and ensuring consistent behavior across conversations.

How do I set boundaries and refusal policies for an AI agent?

You set boundaries and refusal policies for an AI agent by answering guided questions that capture tone, verbosity, and communication rules, which generates a ready-to-use system prompt aligned with MCP Instructions.

Can I define the tone and verbosity of an agent powered by MCP?

Yes, you can define the tone and verbosity of an agent powered by MCP through a guided, question-driven prompt design session that captures these functional requirements for your system prompt.

Does the Sanity Agent Context MCP require specific instructions?

The Sanity Agent Context MCP requires a system prompt with specified functional requirements that integrate with the MCP and Instructions field to define agent personality, tone, boundaries, guardrails, and refusal behaviors.

Why does my AI agent misinterpret requests when accessing Sanity data?

An AI agent misinterprets requests when accessing Sanity data if it lacks a precise system prompt with established boundaries and refusal rules, which are necessary to reduce misinterpretations and enforce consistent behavior.