Investigating Code Patterns
Systematically trace code flows, locate implementations, diagnose performance issues, and map system architecture to understand complex codebases.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
120 skills found
Systematically trace code flows, locate implementations, diagnose performance issues, and map system architecture to understand complex codebases.
A comprehensive guide for designing high-performance, maintainable PostgreSQL database schemas, covering best practices, data types, indexing, and advanced features.
Transforms vague or poorly structured prompts into optimized, high-performance instructions using proven prompt engineering principles for better AI model execution.
AWS DynamoDB engineering assistant for schema design, query optimization, single-table patterns, and infrastructure management using Boto3 and AWS CLI.
Convert natural language queries to safe, optimized SQL. Automates database interactions with schema awareness and parameterized query generation.
A specialized code review agent that performs multi-dimensional analysis covering security vulnerabilities, performance optimization, code quality, and maintainability standards.
Elasticsearch DBA skill for cluster architecture, mapping design, performance tuning, and production operations including ILM, shard strategy, and troubleshooting.
Handles large-scale tasks by automatically breaking them down into manageable, recursive sub-tasks to overcome context window limits and improve reasoning accuracy on large codebases and document sets.
World-class senior data engineering skill for building scalable data pipelines, ETL/ELT systems, and modern data infrastructure using Python, Spark, dbt, and Kafka.
High-performance in-memory DataFrame library for Python and Rust. Features lazy evaluation, parallel execution, and an Apache Arrow backend for efficient ETL, data processing, and faster pandas alternatives.
Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).
Audit and optimize SwiftUI runtime performance. Diagnose slow rendering, janky scrolling, high resource usage, and layout thrash with code review, architecture analysis, and Instruments profiling guidance.