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Found 10 Skills
Analyzes code complexity, technical debt, and industry trends to propose a 3-month strategic roadmap. Aligns engineering effort with business ROI.
Analyze Go function lengths within a workspace and generate statistics (p50, p90, p99). Use when you need to audit function complexity, identify long functions, or generate code metrics for Go projects. Only analyzes files matching **/*.go within the current workspace, excluding dependencies.
Build complete call graphs with GrepAI trace. Use this skill for recursive dependency analysis.
Detect and simplify overly complex code. Apply KISS principle - less is more.
Deep code analysis for pplx-sdk — parse Python AST, build dependency graphs, extract knowledge graphs, detect patterns, and generate actionable insights about code structure, complexity, and relationships. Use when analyzing code quality, mapping dependencies, or building understanding of the codebase.
Technical development guidelines for Wednesday Solutions projects. Enforces import ordering, complexity limits, naming conventions, TypeScript best practices, and code quality standards for React/Next.js applications.
Automatically detect code quality issues and provide improvement recommendations
Generates a heat-map and metrics report of a repository based on code complexity, lack of tests, and 'TODO/FIXME' density. Use when you need to identify high-risk areas for refactoring or when planning technical debt reduction sprints.
Systematic tech debt inventory with complexity analysis, dead code detection, and remediation planning. Track debt over time. NOT for code review (review) or refactoring.
AST-based code analysis using tree-sitter. Use for parsing code structure, extracting symbols, finding patterns with tree-sitter queries, analyzing complexity, and understanding code architecture. Supports Python, JavaScript, TypeScript, Go, Rust, C, C++, Swift, Java, Kotlin, Julia, and more.