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performance-monitor-analyst

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Original

English

🇨🇳

Translation

Chinese

Performance Monitor Analyst

性能监控分析师

This skill compares "what we want" (NFR) with "what we have" (Profiling Logs).

该Skill将“我们的期望目标”（NFR）与“实际情况”（性能分析日志）进行对比。

Capabilities

功能特性

1. Profiling Log Analysis

1. 性能分析日志分析

Reads outputs from
```
Clinic.js
```
,
```
cProfile
```
, or
```
chrome://tracing
```
.
Identifies heavy functions and memory leaks.

读取
```
Clinic.js
```
、
```
cProfile
```
或
```
chrome://tracing
```
的输出结果。
识别资源消耗大的函数和内存泄漏问题。

2. Gap Analysis

2. 差距分析

Compares measured response times (Latency) and other Golden Signals against the targets in
```
knowledge/nonfunctional/
```
.
Evaluates SLO attainment and remaining Error Budget based on SLO & Dashboard Best Practices.
Issues "Warning" if targets are missed or if saturation levels are too high.

将测得的响应时间（延迟）及其他黄金指标与
```
knowledge/nonfunctional/
```
中的目标值进行对比。
根据《SLO与仪表板最佳实践》（../knowledge/operations/slo_dashboard_best_practices.md）评估SLO达成情况及剩余错误预算。
若未达成目标或饱和度水平过高，则发出“警告”。

Usage

使用示例

"Analyze this
```
profile.json
```
and tell me if we are meeting our 200ms response time requirement."
"Where is the bottleneck in this Python profile?"

“分析这份
```
profile.json
```
，告诉我是否达到了200ms的响应时间要求。”
“这份Python性能分析报告中的瓶颈在哪里？”

Knowledge Protocol

知识协议

This skill adheres to the
```
knowledge/orchestration/knowledge-protocol.md
```
. It automatically integrates Public, Confidential (Company/Client), and Personal knowledge tiers, prioritizing the most specific secrets while ensuring no leaks to public outputs.
References Monitoring Best Practices for standard performance metrics (Golden Signals).
References SLO & Dashboard Best Practices for service level objectives and error budget analysis.

该Skill遵循
```
knowledge/orchestration/knowledge-protocol.md
```
中的知识协议。它会自动整合公开、保密（公司/客户）和个人三个知识层级，优先使用最具体的保密信息，同时确保不会泄露到公开输出中。
参考《监控最佳实践》（../knowledge/operations/monitoring_best_practices.md）获取标准性能指标（黄金指标）。
参考《SLO与仪表板最佳实践》（../knowledge/operations/slo_dashboard_best_practices.md）进行服务水平目标（SLO）和错误预算分析。