CHASE

Identify performance bottlenecks and infrastructure hotspots in software projects using MCP tools.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/theLightArchitect/CORSO --skill chase
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: CHASE
Source: https://github.com/theLightArchitect/CORSO/tree/main/skills/CHASE
Command: npx skills add https://github.com/theLightArchitect/CORSO --skill chase

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CHASE identifies performance bottlenecks and infrastructure inefficiencies early by guiding automated analysis with MCP tools, enabling data-driven optimization across code paths and deployments.

Core Features & Use Cases

  • Test strategy inference: maps code patterns to appropriate test types (unit, integration, E2E) to streamline validation.
  • Bottleneck detection: identifies hot paths, resource hotspots (CPU, memory, I/O) and suggests actionable optimizations.
  • Metrics & coverage: selects key latency, throughput, and resource metrics, establishing baselines and enforcing coverage gates.
  • Infrastructure analysis: evaluates deployment and CI/CD configurations to improve reliability and speed.

Quick Start

Request a CHASE session against the current project to identify bottlenecks and propose concrete optimizations.

Frequently Asked Questions about CHASE

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

FAQPage Schema
How do I identify performance bottlenecks in my software project?

Bottleneck detection is performed by identifying hot paths and resource hotspots across CPU, memory, and I/O using MCP tools. It analyzes code patterns and deployment configurations to suggest actionable optimizations for infrastructure inefficiencies.

How do I infer a testing strategy from existing code patterns?

Test strategy inference maps your existing code patterns to appropriate test types like unit, integration, and E2E. This streamlines validation by aligning test coverage with the specific structure of your services and deployments.

What metrics should I select for measuring software performance?

Performance metrics selection focuses on key latency, throughput, and resource utilization measurements. It establishes baselines and enforces coverage gates to ensure your infrastructure meets reliability and speed requirements.

Can I use this to analyze CI/CD and deployment configurations?

Infrastructure analysis evaluates deployment and CI/CD configurations to improve reliability and speed. It identifies infrastructure hotspots and deployment inefficiencies using MCP tools to guide data-driven optimization.

What's the best way to enforce coverage gates in a CI pipeline?

Coverage gates are enforced by selecting key latency and throughput metrics then establishing baselines. The analysis applies performance gates across code paths and deployments to validate infrastructure reliability during execution.