Systematic debugging frameworks for finding and fixing bugs - includes root cause analysis, defense-in-depth validation, and verification protocols
4-phase systematic debugging methodology with root cause analysis and evidence-based verification. Use when debugging complex issues.
Analyzes legacy PL/I (Programming Language One) programs to assist with migration to modern Java applications. Extracts business logic, data structures, procedure definitions, and file operations...
Deep security analysis of codebase. Checks for OWASP vulnerabilities, secrets exposure, and insecure patterns. Use for comprehensive security reviews.
Debug database performance issues through query analysis, index optimization, and execution plan review. Identify and fix slow queries.
Detects and fixes color contrast violations using WCAG 2.1 guidelines and perceptual analysis. Expert in contrast ratio calculation, color blindness simulation, and providing accessible...
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML,...
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML,...
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML,...
Master deep work productivity through the three types of work framework (Building, Maintenance, Recovery). Use when user needs to: (1) Build a sustainable deep work routine with just 1 hour/day,...
Conducts comprehensive frontend code reviews including React/Vue/Angular component analysis, TypeScript/JavaScript quality assessment, CSS/styling review, performance optimization, accessibility...
Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.
Enhanced project status dashboard with intelligent context analysis. Use for session start context, weekly reviews, or seeing what needs attention.
Detect anomalies and outliers in datasets using statistical and ML methods. Use for data cleaning, fraud detection, or quality control analysis.
Root cause analysis for debugging. Use when bugs, test failures, or unexpected behavior have non-obvious causes, or after multiple fix attempts have failed.
Unified quality gates for Laravel projects; Pint, static analysis (PHPStan/Psalm), Insights (optional), and JS linters; Sail and non-Sail pairs provided
High-performance cross-platform disk space monitoring, analysis, and cleaning toolkit with v2.0 optimization enhancements. Use when Claude needs to: (1) Analyze disk space usage and identify large...
Profile tables and columns for statistics and distributions. Handles "profile this table", "show column stats", "data distribution", "table statistics", "cardinality analysis".
Extract keywords and key phrases from text using TF-IDF, RAKE, and frequency analysis. Generate word clouds and export to various formats.
Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.