irac-practice

Grade IRAC essays on structure, issue-spotting, rule accuracy, and analysis depth.

Updated May 26, 2026
One-click install
npx skills add https://github.com/yachela/claude-for-legal-ar --skill irac-practice-yachela
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: irac-practice
Source: https://github.com/yachela/claude-for-legal-ar/tree/main/law-student/skills/irac-practice
Command: npx skills add https://github.com/yachela/claude-for-legal-ar --skill irac-practice-yachela

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps law students improve IRAC/issue-spotting essay performance by giving structured, actionable grading feedback on organization, rule accuracy, and analysis depth.

Core Features & Use Cases

  • IRAC Structure Grading: Evaluates whether the student actually uses an IRAC/CRAC-shaped structure (issues, rules, application, conclusions) and whether writing is organized for exam-style evaluation.
  • Issue-Spotting & Rule Accuracy Feedback: Identifies issues spotted, missed, or misidentified and flags rule statements that are wrong, incomplete, or require verification.
  • Application-to-Facts Assessment: Checks whether the student connects rule elements to specific facts using clear mapping language, and highlights analysis gaps.
  • Practice Pattern Tracking: Appends session results to a per-student tracker and surfaces recurring weaknesses after multiple sessions.

Quick Start

Paste an IRAC hypo (or point to a draft/hypo path) plus your essay and ask the assistant to grade it for structure, issue-spotting, rule accuracy, analysis depth, and organization.

Frequently Asked Questions about irac-practice

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

FAQPage Schema
How do I grade IRAC essay structure without providing a model answer?

To grade IRAC essay structure without providing a model answer, the Skill evaluates student responses by assessing organization, issue-spotting, rule accuracy, analysis depth, and application-to-facts mapping while strictly avoiding rewriting the essay.

What is the best way to track recurring weaknesses in legal issue-spotting practice?

Tracking recurring weaknesses in legal issue-spotting practice works by appending session results to a persistent per-student tracker, which detects and surfaces multi-session patterns in rule accuracy and organization for targeted feedback.

Can I use this tool to grade a student-provided hypothetical and their draft essay?

Yes, you can grade student-provided hypotheticals and draft essays by pasting both the IRAC hypo and the essay to receive structured markdown feedback on issue-spotting, rule accuracy, and analysis depth.

Does IRAC grading check if rule statements are wrong or require verification?

IRAC grading checks rule accuracy by flagging statements that are wrong, incomplete, or require verification, utilizing confidence-based verification flags to ensure students identify accurate legal rules.

How does application-to-facts assessment work in legal writing evaluation?

Application-to-facts assessment in legal writing evaluation checks whether students connect rule elements to specific facts using clear mapping language, highlighting analysis gaps where the application of law to the hypothetical is weak.

What are the limitations of automated essay grading for law students?

Limitations of automated essay grading include the refusal to rewrite essays or provide model answers, meaning students only receive structural feedback and must independently correct misidentified issues and analysis gaps.