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.