improve-prompt

Validate translated prompts against originals and flag inconsistencies.

282|23|Updated Jan 3, 2026
One-click install
npx skills add https://github.com/team-attention/stanford-cs146s-kr --skill improve-prompt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: improve-prompt
Source: https://github.com/team-attention/stanford-cs146s-kr/tree/main/.claude/skills/improve-prompt
Command: npx skills add https://github.com/team-attention/stanford-cs146s-kr --skill improve-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill validates translated prompts against the original sources, detects inconsistencies, and coordinates a fact-checking workflow to ensure high-quality prompt content across chapters and pages.

Core Features & Use Cases

  • Automated evaluation: Compare translated prompts with originals to identify concept drift and terminology mismatches.
  • Fact-check integration: Trigger WebSearch-based verification of extracted claims to ensure accuracy of technical terms and data.
  • Auditable remediation: Generate an issue-driven report, allow user confirmation, and apply approved fixes to prompts.
  • Use Case: If you publish translated course prompts, use this Skill to maintain alignment with the English source while documenting changes for review.

Quick Start

Run /improve-prompt week1/deep-dive-llms/tokenization to start a single-chapter evaluation. For a broader sweep, run /improve-prompt week1/deep-dive-llms --all-chapters. To generate a report only without applying changes, use /improve-prompt week1/slug --skip-apply.

Frequently Asked Questions about improve-prompt

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

FAQPage Schema
How do I validate translated prompts against the original source?▼

To validate translated prompts, this Skill compares them against originals to identify concept drift and terminology mismatches, then generates an issue-driven report for tracking and remediation.

How does fact-checking work for prompt evaluation?▼

Fact-checking for prompt evaluation triggers a WebSearch-based workflow to verify extracted claims, ensuring the accuracy of technical terms and data within your translated content.

Can I apply translation fixes automatically without manual review?▼

You cannot apply fixes automatically without review; this Skill generates an issue-driven report for user confirmation, then applies only the approved fixes to your prompts.

What is the best way to run prompt QA across multiple chapters?▼

The best way to run prompt QA across multiple chapters is using the broad sweep command with the --all-chapters flag to evaluate an entire directory structure at once.

Can I generate a prompt validation report without modifying the original files?▼

Yes, you can generate a validation report without modifying files by running the evaluation command with the --skip-apply flag to audit issues without applying changes.