> detecting-performance-bottlenecks
This skill enables Claude to detect and resolve performance bottlenecks in applications. It analyzes CPU, memory, I/O, and database performance to identify areas of concern. Use this skill when you need to diagnose slow application performance, optimize resource usage, or proactively prevent performance issues. The skill is triggered by requests to "detect bottlenecks", "analyze performance", "find performance issues", or similar phrases related to performance optimization. It helps uncover root
curl "https://skillshub.wtf/jeremylongshore/claude-code-plugins-plus-skills/bottleneck-detector?format=md"Overview
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.
How It Works
- Architecture Analysis: Claude analyzes the application's architecture and data flow to understand potential bottlenecks.
- Bottleneck Identification: The plugin identifies bottlenecks across CPU, memory, I/O, database, lock contention, and resource exhaustion.
- Remediation Suggestions: Claude provides remediation strategies with code examples to resolve the identified bottlenecks.
When to Use This Skill
This skill activates when you need to:
- Diagnose slow application performance.
- Optimize resource usage (CPU, memory, I/O, database).
- Proactively prevent performance issues.
Examples
Example 1: Diagnosing Slow Database Queries
User request: "detect bottlenecks in my database queries"
The skill will:
- Analyze database query performance and identify slow-running queries.
- Suggest optimizations like indexing or query rewriting to improve database performance.
Example 2: Identifying Memory Leaks
User request: "analyze performance and find memory leaks"
The skill will:
- Profile memory usage patterns to identify potential memory leaks.
- Provide code examples and recommendations to fix the memory leaks.
Best Practices
- Comprehensive Analysis: Always analyze all potential bottleneck areas (CPU, memory, I/O, database) for a complete picture.
- Prioritize by Severity: Focus on addressing the most severe bottlenecks first for maximum impact.
- Test Thoroughly: After implementing remediation strategies, thoroughly test the application to ensure the bottlenecks are resolved and no new issues are introduced.
Integration
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.
> related_skills --same-repo
> agent-context-loader
PROACTIVE AUTO-LOADING: Automatically detects and loads AGENTS.md files from the current working directory when starting a session or changing directories. This skill ensures agent-specific instructions are incorporated into Claude Code's context alongside CLAUDE.md, enabling specialized agent behaviors. Triggers automatically when Claude detects it's working in a directory, when starting a new session, or when explicitly requested to "load agent context" or "check for AGENTS.md file".
> Google Cloud Agent SDK Master
Automatic activation for ALL Google Cloud Agent Development Kit (ADK) and Agent Starter Pack operations - multi-agent systems, containerized deployment, RAG agents, and production orchestration. **TRIGGER PHRASES:** - "adk", "agent development kit", "agent starter pack", "multi-agent", "build agent" - "cloud run agent", "gke deployment", "agent engine", "containerized agent" - "rag agent", "react agent", "agent orchestration", "agent templates" **AUTO-INVOKES FOR:** - Agent creation and scaffold
> Vertex AI Media Master
Automatic activation for ALL Google Vertex AI multimodal operations - video processing, audio generation, image creation, and marketing campaigns. **TRIGGER PHRASES:** - "vertex ai", "gemini multimodal", "process video", "generate audio", "create images", "marketing campaign" - "imagen", "video understanding", "multimodal", "content generation", "media assets" **AUTO-INVOKES FOR:** - Video processing and understanding (up to 6 hours) - Audio generation and transcription - Image generation with I
> yaml-master
PROACTIVE YAML INTELLIGENCE: Automatically activates when working with YAML files, configuration management, CI/CD pipelines, Kubernetes manifests, Docker Compose, or any YAML-based workflows. Provides intelligent validation, schema inference, linting, format conversion (JSON/TOML/XML), and structural transformations with deep understanding of YAML specifications and common anti-patterns.