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predictive-analysis

Identify risks, anti-patterns, and maintenance issues in codebases via static analysis.

Updated Apr 18, 2026
Search Tags:#code analysis#performance#security#technical debt#risk assessment
One-click install
npx skills add https://github.com/jey3dayo/apm-workspace --skill predictive-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: predictive-analysis
Source: https://github.com/jey3dayo/apm-workspace/tree/main/catalog/skills/predictive-analysis
Command: npx skills add https://github.com/jey3dayo/apm-workspace --skill predictive-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires project-detector, MCP Serena, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill identifies potential risks, anti-patterns, and future maintenance issues in code, helping to improve maintainability and security.

Core Features & Use Cases

  • Risk Identification: Predictive analysis of technical debt, security risks, and performance bottlenecks.
  • Code Health Assessment: Evaluates risk categories such as technical debt, security risks, and performance bottlenecks.
  • Quick Start: Use the /predictive-analysis command to analyze codebases for risks that may become problems in the future.

Quick Start

Analyze your codebase for potential risks with the command: /predictive-analysis

Frequently Asked Questions about predictive-analysis

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

FAQPage Schema
How do I predict technical debt and security risks in my codebase?▼

To predict technical debt and security risks, you can run static analysis and pattern detection on your codebase to identify code complexity, security anti-patterns, and performance bottlenecks proactively.

What is predictive code analysis for maintainability?▼

Predictive code analysis is the process of evaluating code health to detect anti-patterns and potential maintenance issues early, applying static analysis to manage technical debt, security vulnerabilities, and performance bottlenecks.

How do I run a code health assessment for performance bottlenecks?▼

You can run a code health assessment by executing the /predictive-analysis command, which analyzes code complexity, security patterns, and performance metrics to identify potential risks in your codebase.

Does predictive analysis work with Serena MCP for static code analysis?▼

Yes, predictive analysis works with Serena MCP and requires project-detector to analyze your codebase, applying static analysis and pattern detection to evaluate risk categories like technical debt and performance bottlenecks.

What's the best way to proactively identify security anti-patterns in software development?▼

The best way to identify security anti-patterns is using predictive analysis to evaluate code complexity and security patterns, applying static analysis to detect vulnerabilities before they become future maintenance issues.

When should I use static analysis to assess technical debt?▼

You should use static analysis to assess technical debt during software development workflows when you need to proactively manage code complexity, security vulnerabilities, and performance bottlenecks to improve maintainability.

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