wrong-gen

What problem does it solve?

This Skill helps ICPC problem production reliably create multiple wrong solutions and the corresponding generators/data so that near-TL or subtly incorrect approaches are caught during local verification.

Core Features & Use Cases

• Mistake-driven wrong-solution enumeration: Systematically covers “idea mistakes,” “complexity mistakes,” and “implementation mistakes” using the provided mistake taxonomy.
• Multi-family wrong solution implementation: Produces several compilable src/wrong/*.cpp programs plus a src/generator/generator.cpp that can generate targeted cases.
• Config-aligned data generation: Updates config.json fields tied to generator.cases and wrongSolutions so generated datasets effectively distinguish the intended wrong families.
• Targeted and stressful test design: Mixes directed datasets (to defeat specific wrong families) with random data as supplements, ensuring enough scale and strength to hit performance and edge traps.
• Interactive-aware wrong strategies (if applicable): Extends enumeration to query strategy, order, and answering/fallback behaviors for interactive problems.

Quick Start

Ask the agent to produce wrong solution families and a generator for your current ICPC workspace, then update the config so the generated datasets can reproduce and defeat the planned wrong approaches.