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logical-bug-finder

Identify core bug patterns and generate reusable fix strategies across codebases.

15|2|Updated May 26, 2025
Search Tags:#debugging#heuristics#code-analysis#bug-fixing#pattern-recognition#fuzzy-bug
One-click install
npx skills add https://github.com/Manamama/Puzzles_for_AIs --skill logical-bug-finder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: logical-bug-finder
Source: https://github.com/Manamama/Puzzles_for_AIs/tree/main/skills/logical-bug-finder
Command: npx skills add https://github.com/Manamama/Puzzles_for_AIs --skill logical-bug-finder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This diagnostic framework helps engineers move from a single bug instance to a reusable heuristic that can detect the same issue across diverse files and languages, enabling scalable debugging of fuzzy logical errors.

Core Features & Use Cases

  • Phase-based analysis: deconstructs symptoms, isolates clues, and formulates a concrete hypothesis to convert a local bug into a general pattern.
  • Abstract heuristic generation: translates a specific failure into a portable set of roles and constraints that apply across codebases.
  • Faceted search workflow: guides targeted codebase scanning by intersecting results from context-init patterns and failure-to-tool usage patterns.
  • Iterative verification & correction: validates suspected patterns and applies concept-level fixes that preserve context and reduce regression risk.

Quick Start

Provide a buggy code snippet and ask the system to extract the underlying heuristic, then propose a general, reusable fix pattern.

Frequently Asked Questions about logical-bug-finder

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

FAQPage Schema
How do I find similar logical bugs across an entire codebase after finding one instance?▼

Code analysis for fuzzy bugs converts a specific failure into a portable heuristic with roles and constraints, enabling targeted codebase scanning to locate candidate files and verify findings.

What is the best way to create a reusable bug fixing pattern from a single code snippet?▼

Debugging fuzzy bugs involves isolating clues and formulating a concrete hypothesis to convert a local bug into a general pattern, enabling iterative verification and concept-level fixes that reduce regression risk.

Can I use pattern recognition to detect bugs across diverse files and programming languages?▼

Yes, abstract heuristic generation translates a specific failure into a portable set of roles and constraints that apply across codebases, enabling pattern recognition across diverse files and languages.

How do I perform a faceted search to scan my repository for fuzzy logical errors?▼

Faceted search for fuzzy logical errors guides targeted codebase scanning by intersecting results from context-init patterns and failure-to-tool usage patterns to locate candidate files and verify findings.

Does this debugging approach work for finding bugs without specific error messages?▼

Yes, this debugging approach works for fuzzy bugs without specific error messages by deconstructing symptoms and isolating clues to formulate a concrete hypothesis and identify the core bug pattern.

What are the limitations of using heuristics for codebase bug fixing?▼

A limitation of using heuristics for codebase bug fixing is the need for iterative verification and correction to validate suspected patterns, ensuring concept-level fixes preserve context and reduce regression risk.

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