One-click install
npx skills add https://github.com/pasunboneleve/oiticica-style --skill oiticica-confused-words
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oiticica-confused-words
Source: https://github.com/pasunboneleve/oiticica-style/tree/main/src/oiticica-confused-words
Command: npx skills add https://github.com/pasunboneleve/oiticica-style --skill oiticica-confused-words

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It prevents readers from misreading your prose by correcting near-synonym and near-homophone word pairs that are swapped for the wrong relation in context.

Core Features & Use Cases

  • Confused-word diagnosis: Detects mismatches among commonly swapped pairs (e.g., affect/effect, imply/infer, flaunt/flout) by checking the sentence’s actual relation and action.
  • Concrete contrast repairs: Produces a corrected word choice and explains the contrast in one sentence so the fix is transferable to future writing.
  • Objective, rubric-based review: Verifies the pair is named, the chosen word fits the sentence relation, the register stays consistent, and the explanation enables correct next-time choice.

Quick Start

Use oiticica-confused-words to review this paragraph and repair any confused word pairs with a Pass/Fail rubric.

Frequently Asked Questions about oiticica-confused-words

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

FAQPage Schema
How do I fix commonly confused word pairs like affect and effect during proofreading?▼

To fix confused word pairs during proofreading, the Skill validates the sentence relation and context, then applies a Pass/Fail rubric to confirm the correct word choice and provide a one-sentence contrast explanation.

What is the best way to check for swapped near-synonym words when editing English prose?▼

Checking for swapped near-synonym words involves diagnosing mismatches among pairs like imply/infer by examining the sentence's actual relation and action, then repairing the choice with an objective rubric check.

How does semantic contrast review work for correcting word choice errors?▼

Semantic contrast review works by detecting mismatches in commonly swapped pairs, verifying the chosen word fits the sentence relation, and producing a concrete contrast explanation to ensure correct future word choice.

Can I use rubric-based review for peer review and rewriting tasks involving near-homophones?▼

Yes, rubric-based review applies to peer review and rewriting tasks by enforcing a Principle/Preserve or Weak/Fault/Better workflow to verify the confused pair is named, the word fits context, and register stays consistent.

Does word choice revision explain why a commonly confused word is incorrect in context?▼

Yes, word choice revision explains the correction by generating a one-sentence contrast explanation that clarifies the semantic difference between the swapped pair, enabling transferable learning for future writing.

What are the limitations of automated confused words detection in writing revision?▼

Automated confused words detection focuses strictly on near-synonym and near-homophone pairs causing ambiguity or misinterpretation, requiring objective rubric checks rather than addressing broad stylistic or grammatical rewriting.