Prospero Types Skill

🌐Community
by prospero-digital · vlatest · Repository

This skill analyzes text to determine its primary type (e.g., news, blog, technical) for improved content understanding and categorization.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add prospero-types-skill npx -- -y @trustedskills/prospero-types-skill
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "prospero-types-skill": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/prospero-types-skill"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill provides access to a collection of custom data types for use within AI agents. It allows users to define and utilize structured information, improving the agent's ability to reason about complex concepts and relationships. The skill facilitates creating more sophisticated workflows by enabling agents to interact with specialized datasets in a predictable manner.

When to use it

  • Complex Data Handling: When your agent needs to process data beyond simple text or numbers, such as structured product catalogs or scientific measurements.
  • Workflow Automation: To build automated processes that require specific data structures and validation rules.
  • Knowledge Representation: When you want the AI agent to understand and reason about relationships between entities in a more formal way than free-form text allows.
  • Custom Data Integration: When integrating with external systems or APIs that return data in custom formats.

Key capabilities

  • Definition of custom data types
  • Data validation based on type definitions
  • Structured data interaction
  • Type inference for data processing

Example prompts

  • "Define a 'Product' data type with fields: name, price, description."
  • "Create an agent workflow that uses the 'Product' data type to find products under $50."
  • "Validate this data against the 'Customer' data type: [customer data]"

Tips & gotchas

This skill requires a foundational understanding of data structures and how AI agents process information. Ensure your data types are clearly defined for optimal performance and accuracy; ambiguous definitions can lead to unexpected behavior.

Tags

🛡️

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Details

Version
vlatest
License
Author
prospero-digital
Installs
15

🌐 Community

Passed automated security scans.