Initial commit

.claude-plugin/plugin.json

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+{
+  "name": "performance-optimization-advisor",
+  "description": "Get comprehensive performance optimization recommendations",
+  "version": "1.0.0",
+  "author": {
+    "name": "Claude Code Plugins",
+    "email": "[email protected]"
+  },
+  "skills": [
+    "./skills"
+  ],
+  "commands": [
+    "./commands"
+  ]
+}

README.md

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+# performance-optimization-advisor
+
+Get comprehensive performance optimization recommendations

commands/optimize.md

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+---
+description: Get performance optimization recommendations
+---
+
+# Performance Optimization Advisor
+
+Receive comprehensive, prioritized performance optimization recommendations.
+
+## Optimization Areas
+
+1. **Frontend Optimization**
+   - Bundle size reduction
+   - Code splitting
+   - Lazy loading
+   - Image optimization
+   - Caching strategies
+
+2. **Backend Optimization**
+   - Database query optimization
+   - API response time improvement
+   - Caching layers
+   - Connection pooling
+   - Async processing
+
+3. **Infrastructure Optimization**
+   - CDN implementation
+   - Load balancing
+   - Auto-scaling configuration
+   - Resource right-sizing
+
+4. **Architecture Optimization**
+   - Service decomposition
+   - Event-driven patterns
+   - Read replicas
+   - Queue-based processing
+
+## Process
+
+1. Analyze current application architecture
+2. Review code for performance anti-patterns
+3. Evaluate infrastructure setup
+4. Identify quick wins and long-term improvements
+5. Prioritize recommendations by impact and effort
+6. Generate implementation roadmap
+
+## Output
+
+Provide comprehensive report with:
+- Executive summary of performance state
+- Categorized optimization opportunities
+- Prioritization matrix (impact vs effort)
+- Detailed recommendations with:
+  - Current state analysis
+  - Proposed improvement
+  - Implementation steps
+  - Expected performance gains
+  - Code examples
+- Quick wins (low effort, high impact)
+- Long-term architectural improvements
+- Implementation roadmap with phases

plugin.lock.json

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+{
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+  "pluginId": "gh:jeremylongshore/claude-code-plugins-plus:plugins/performance/performance-optimization-advisor",
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+    "generatedAt": "2025-11-28T10:18:39.688252Z",
+    "toolVersion": "publish_plugins.py@0.2.0"
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+  "origin": {
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+    "branch": "master",
+    "commit": "aa1497ed0949fd50e99e70d6324a29c5b34f9390",
+    "repoRoot": "/Users/zhongweili/projects/openmind/42plugin-data"
+  },
+  "manifest": {
+    "name": "performance-optimization-advisor",
+    "description": "Get comprehensive performance optimization recommendations",
+    "version": "1.0.0"
+  },
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+        "path": "README.md",
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+}

skills/performance-optimization-advisor/SKILL.md

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+---
+name: providing-performance-optimization-advice
+description: |
+  This skill enables Claude to provide comprehensive, prioritized performance optimization recommendations for software projects. It is triggered when the user requests performance improvements, optimization suggestions, or asks for a performance review. The skill analyzes frontend, backend, and infrastructure aspects of the project to identify bottlenecks and anti-patterns. It then provides actionable advice, estimates potential performance gains, and suggests a phased implementation roadmap. Use this skill when the user mentions "optimize performance", "performance recommendations", "performance review", "improve speed", or asks about "bottlenecks".
+allowed-tools: Read, Write, Edit, Grep, Glob, Bash
+version: 1.0.0
+---
+
+## Overview
+
+This skill empowers Claude to act as a performance optimization advisor, delivering a detailed report of potential improvements across various layers of a software application. It prioritizes recommendations based on impact and effort, allowing for a focused and efficient optimization strategy.
+
+## How It Works
+
+1. **Analyze Project**: Claude uses the plugin to analyze the project's codebase, infrastructure configuration, and architecture.
+2. **Identify Optimization Areas**: The plugin identifies potential optimization areas in the frontend, backend, and infrastructure.
+3. **Prioritize Recommendations**: The plugin prioritizes recommendations based on estimated performance gains and implementation effort.
+4. **Generate Report**: Claude presents a comprehensive report with actionable advice, performance gain estimates, and a phased implementation roadmap.
+
+## When to Use This Skill
+
+This skill activates when you need to:
+- Identify performance bottlenecks in a software application.
+- Get recommendations for improving website loading speed.
+- Optimize database query performance.
+- Improve API response times.
+- Reduce infrastructure costs.
+
+## Examples
+
+### Example 1: Optimizing a Slow Website
+
+User request: "My website is loading very slowly. Can you help me optimize its performance?"
+
+The skill will:
+1. Analyze the website's frontend code, backend APIs, and infrastructure configuration.
+2. Identify issues such as unoptimized images, inefficient database queries, and lack of CDN usage.
+3. Generate a report with prioritized recommendations, including image optimization, database query optimization, and CDN implementation.
+
+### Example 2: Improving API Response Time
+
+User request: "The API response time is too slow. What can I do to improve it?"
+
+The skill will:
+1. Analyze the API code, database queries, and caching strategies.
+2. Identify issues such as inefficient database queries, lack of caching, and slow processing logic.
+3. Generate a report with prioritized recommendations, including database query optimization, caching implementation, and asynchronous processing.
+
+## Best Practices
+
+- **Specificity**: Provide specific details about the project and its performance issues to get more accurate and relevant recommendations.
+- **Context**: Explain the context of the performance problem, such as the expected user load or the specific use case.
+- **Iteration**: Review the recommendations and provide feedback to refine the optimization strategy.
+
+## Integration
+
+This skill integrates well with other plugins that provide code analysis, infrastructure management, and deployment automation capabilities. For example, it can be used in conjunction with a code linting plugin to identify code-level performance issues or with an infrastructure-as-code plugin to automate infrastructure optimization tasks.

skills/performance-optimization-advisor/assets/README.md

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+# Assets
+
+Bundled resources for performance-optimization-advisor skill
+
+- [ ] optimization_report_template.md: A template for generating performance optimization reports.
+- [ ] example_optimization_reports/: A directory containing example performance optimization reports for different types of applications.
+- [ ] configuration_templates/: A directory containing configuration templates for different performance monitoring tools.

skills/performance-optimization-advisor/references/README.md

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+# References
+
+Bundled resources for performance-optimization-advisor skill
+
+- [ ] performance_optimization_best_practices.md: A comprehensive guide to performance optimization best practices for different programming languages and platforms.
+- [ ] frontend_optimization_techniques.md: A detailed explanation of frontend optimization techniques, including code splitting, lazy loading, and image optimization.
+- [ ] backend_optimization_techniques.md: A detailed explanation of backend optimization techniques, including database optimization, caching, and load balancing.
+- [ ] infrastructure_optimization_techniques.md: A detailed explanation of infrastructure optimization techniques, including server configuration, network optimization, and cloud resource management.
+- [ ] anti_pattern_catalog.md: A catalog of common performance anti-patterns and their solutions.

skills/performance-optimization-advisor/scripts/README.md

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+# Scripts
+
+Bundled resources for performance-optimization-advisor skill
+
+- [ ] performance_profiler.py: A script to profile the performance of a given code snippet or application and identify bottlenecks.
+- [ ] optimization_suggestions.py: A script to generate optimization suggestions based on the profiling data.
+- [ ] impact_estimator.py: A script to estimate the performance impact of applying a given optimization.