From bottleneck-detector
Detects performance bottlenecks in CPU, memory, I/O, database, and lock contention layers. Provides analysis and remediation strategies for slow applications.
How this skill is triggered — by the user, by Claude, or both
Slash command
/bottleneck-detector:detecting-performance-bottlenecksThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Detect and diagnose performance bottlenecks across CPU, memory, I/O, database, and lock contention layers with targeted remediation strategies.
Detect and diagnose performance bottlenecks across CPU, memory, I/O, database, and lock contention layers with targeted remediation strategies.
This skill empowers Claude to identify and address performance bottlenecks across different layers of an application. By pinpointing performance issues in CPU, memory, I/O, and database operations, it assists in optimizing resource utilization and improving overall application speed and responsiveness.
This skill activates when you need to:
User request: "detect bottlenecks in my database queries"
The skill will:
User request: "analyze performance and find memory leaks"
The skill will:
This skill can be used in conjunction with code generation plugins to automatically implement the suggested remediation strategies. It also integrates with monitoring and logging tools to provide real-time performance data.
The skill produces structured output relevant to the task.
5plugins reuse this skill
First indexed Jul 10, 2026
npx claudepluginhub fleet-to-force/claude-code-plugins-plus --plugin bottleneck-detectorDetects and resolves performance bottlenecks across CPU, memory, I/O, and database layers. Use for diagnosing slow applications and optimizing resource usage.
Profiles system performance to identify bottlenecks using measurement before optimization — follows Brendan Gregg's USE Method and Google pprof methodology.
Profiles application performance across Node.js, Python, and Java stacks by analyzing CPU, memory, and execution hotspots to identify optimization targets.