semiont-tag

Apply IRAC or Toulmin schema tags to classify textual passages in Semiont resources.

88|9|Updated Jul 29, 2025
One-click install
npx skills add https://github.com/The-AI-Alliance/semiont --skill semiont-tag
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: semiont-tag
Source: https://github.com/The-AI-Alliance/semiont/tree/main/docs/protocol/skills/semiont-tag
Command: npx skills add https://github.com/The-AI-Alliance/semiont --skill semiont-tag

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @semiont/sdk, and includes scripts (resource) components.

What problem does it solve?

This Skill helps users apply structural-analysis tag schemas to categorize passages within Semiont resources, enabling better document organization and retrieval.

Core Features & Use Cases

  • Structural-analysis tagging: Classify sections using schemas like IRAC, IMRAD, or Toulmin to identify their role in a document.
  • Semantic annotation: Attach schema-based tags to passages for advanced querying and aggregation.
  • Use Case: A legal analyst tags court opinions with IRAC components to facilitate research and case comparison.

Quick Start

Use the semiont-tag skill to apply IRAC schema tags to a legal opinion resource by specifying the resource ID.

Frequently Asked Questions about semiont-tag

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

FAQPage Schema
How do I apply structural schemas like IRAC to classify document passages?

Schema-driven tagging classifies textual passages by applying standardized structural schemas like IRAC or Toulmin. This creates semantic annotations that mark passage roles within documents, enabling advanced organization and retrieval for legal and technical workflows.

What is schema-based document tagging for structural analysis?

Schema-based document tagging is the process of attaching standardized structural schemas, such as IMRAD or Toulmin, to textual passages. It identifies the role of each section within a document to facilitate semantic annotation and advanced research aggregation.

How do I tag legal opinions with IRAC components for case comparison?

Tag legal opinions with IRAC components by specifying the resource ID within the Semiont platform and applying the IRAC schema. This tags individual passages with their structural role, facilitating research and case comparison.

Do I need registered schemas to classify document structures?

Yes, applying structural-analysis tag schemas requires registered schemas within the Semiont platform. The tagging process operates on Semiont resources, meaning you must specify an existing resource ID to attach schema-based tags to its passages.

What are the limitations of schema-driven document annotation?

Schema-driven document annotation is limited to operating within the Semiont platform using registered schemas. It requires structured tagging workflows and does not function on unregistered resources or outside the Semiont ecosystem.