How does Insight save context window space?

Insight intelligently truncates large source code blocks (>50 lines) while providing structural metadata and line counts to prevent context overflow while maintaining understanding.

Can I use Insight to find dead or unused code?

Yes, the suggest_refactoring tool includes a specific focus for detecting unused functions and high coupling, helping you prune and clean your codebase.

Does this skill work on specific functions or entire directories?

Both. You can target individual symbols (classes/functions), specific files, or entire directories to get the appropriate level of detail for your task.

What is the benefit of using 'insight' over standard file reading tools?

Insight combines information from multiple sources—file system, git logs, and symbol parsers—into a single response, reducing the number of tool calls and the time it takes for an AI to understand a module.

How are refactoring suggestions prioritized?

Suggestions are categorized into High, Medium, and Low priority based on metrics like function length, number of imports, and cyclomatic complexity.

Code Insight & Refactoring

Name: Code Insight & Refactoring
Author: Technikhighknee

byTechnikhighknee

Herramientas para Desarrolladores

Analyzes codebases instantly to reveal structures, relationships, and refactoring opportunities in a single command.

Acerca de

The Insight skill streamlines how developers and AI agents explore unfamiliar codebases by consolidating fragmented discovery tasks—such as symbol listing, dependency mapping, and git history—into a unified, high-context output. It eliminates the need for sequential tool calls by providing a holistic view of files, directories, or specific symbols. Additionally, it features an intelligent refactoring engine that automatically detects technical debt, high coupling, and complex logic, offering prioritized suggestions to improve code quality and maintainability before development begins.

Características Principales

Directory-level summaries that identify entry points and module architecture.
0 GitHub stars
Consolidated analysis of symbols, imports, exports, and git history in one call.
Deep relationship mapping including callers, callees, and module dependencies.
Automated technical debt detection for complexity, coupling, and unused code.
Smart context management with intelligent code truncation to prevent token overflow.

Casos de Uso

Performing impact analysis by tracing symbol relationships before making changes.
Rapidly orienting to a new or complex repository during onboarding.
Automated code quality auditing to identify and prioritize refactoring tasks.

Acerca de

Características Principales

Directory-level summaries that identify entry points and module architecture.
0 GitHub stars
Consolidated analysis of symbols, imports, exports, and git history in one call.
Deep relationship mapping including callers, callees, and module dependencies.
Automated technical debt detection for complexity, coupling, and unused code.
Smart context management with intelligent code truncation to prevent token overflow.

Casos de Uso

Performing impact analysis by tracing symbol relationships before making changes.
Rapidly orienting to a new or complex repository during onboarding.
Automated code quality auditing to identify and prioritize refactoring tasks.