analyzing-network-latency

This skill enables Claude to analyze network latency and optimize request patterns within an application. It helps identify bottlenecks and suggest improvements for faster and more efficient network communication. Use this skill when the user asks to "analyze network latency", "optimize request patterns", or when facing performance issues related to network requests. It focuses on identifying serial requests that can be parallelized, opportunities for request batching, connection pooling improvements, timeout configuration adjustments, and DNS resolution enhancements. The skill provides concrete suggestions for reducing latency and improving overall network performance.

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill analyzing-network-latency

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Review — 60%

Does it follow best practices?

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Learn more

Evaluation — 96%

Agent success when using this skill

Validation — 11 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

80%

E-Commerce Checkout Performance Review

Request parallelization and batching

Criteria

Without context

With context

All requests identified

100%

Serial pattern flagged

100%

Parallelization recommended

100%

Specific calls grouped

100%

Batching opportunity identified

Batching recommendation given

Latency anomaly noted

100%

Concrete code or pseudocode

100%

Expected latency improvement

100%

Dependency ordering respected

100%

Without context: $0.1702 · 1m 29s · 8 turns · 9 in / 3,665 out tokens

With context: $0.3491 · 2m · 16 turns · 47 in / 4,839 out tokens

100%

30%

Data Ingestion Pipeline Latency Audit

Connection pooling and timeout configuration

Criteria

Without context

With context

Requests enumerated

100%

Connection overhead identified

100%

Connection pooling recommended

100%

Pooling code example

100%

Timeout problem identified

100%

Timeout recommendation given

100%

Timeout code example

100%

Latency pattern analysis

100%

Concrete improvement estimate

100%

No deprecated libraries

100%

Without context: $0.2168 · 1m 37s · 10 turns · 11 in / 4,647 out tokens

With context: $0.4668 · 2m 25s · 22 turns · 55 in / 6,846 out tokens

95%

13%

Marketing Attribution Report Aggregation Latency

DNS resolution and multi-host latency analysis

Criteria

Without context

With context

All hosts enumerated

100%

DNS overhead identified

100%

DNS enhancement recommended

100%

Per-host latency patterns noted

62%

75%

Serial pattern across hosts flagged

100%

Parallelization across hosts

100%

Connection reuse per host

100%

Concrete implementation example

100%

Anomaly or bottleneck called out

100%

62%

Expected improvement described

100%

Without context: $0.2248 · 1m 36s · 8 turns · 9 in / 4,551 out tokens

With context: $0.3673 · 2m 24s · 17 turns · 52 in / 5,802 out tokens

100%

Slow Financial Data Aggregator

Parallelization via async code modification

Criteria

Without context

With context

Serial pattern identified

100%

Independence stated

100%

Parallel execution used

100%

No dependency violations

100%

Connection/session reuse

100%

Timeout preserved or improved

100%

Same public interface

100%

Modified code file produced

100%

Quantitative latency estimate

100%

Bottleneck explanation

100%

Without context: $0.2319 · 1m 28s · 16 turns · 17 in / 2,986 out tokens

With context: $0.4176 · 1m 53s · 25 turns · 170 in / 4,833 out tokens

100%

Backend API Latency Investigation

Latency analysis and anomaly detection from trace data

Criteria

Without context

With context

All services enumerated

100%

Per-service latency breakdown

100%

Outlier identified: billing spike

100%

Outlier identified: analytics spike

100%

Duplicate call pattern flagged

100%

Parallelization opportunity noted

100%

Recommendations ranked or prioritized

100%

Quantitative savings estimates

100%

Batching recommendation

100%

Timeout recommendation

100%

Without context: $0.4515 · 2m 28s · 18 turns · 19 in / 8,091 out tokens

With context: $0.4542 · 2m 23s · 19 turns · 52 in / 7,168 out tokens

100%

Contact Sync Performance Problem

Request batching for bulk API operations

Criteria

Without context

With context

Per-item pattern identified

100%

Batch endpoint used

100%

Batch size limit respected

100%

Batch size explicit

100%

Session/connection reuse

100%

Timeout configuration retained

100%

Same function signature

100%

Call count: before

100%

Call count: after

100%

Latency improvement estimate

100%

Without context: $0.2478 · 1m 35s · 16 turns · 16 in / 3,635 out tokens

With context: $0.3158 · 1m 55s · 17 turns · 17 in / 4,278 out tokens

100%

24%

Product Detail Page Performance Audit

Holistic network optimization in Node.js

Criteria

Without context

With context

All requests enumerated

100%

Serial pattern identified

100%

Parallelization recommended

100%

Independence argued correctly

100%

Connection pooling recommended

100%

Timeout configuration recommended

100%

Parallel execution code example

100%

Connection pooling code example

100%

No dependency violation

100%

Quantitative latency improvement

100%

Optimization categories coverage

50%

100%

Without context: $0.1657 · 1m 25s · 10 turns · 11 in / 3,027 out tokens

With context: $0.4015 · 2m 21s · 21 turns · 52 in / 6,299 out tokens

100%

API Gateway Latency Investigation

Log-based latency anomaly detection

Criteria

Without context

With context

All services enumerated

100%

Per-service latency stats

100%

Payment spike anomaly flagged

100%

Catalog slow pattern flagged

100%

Serial call pattern identified

100%

Parallelization recommended

100%

Timeout recommendation

100%

Recommendations ranked

100%

Quantitative savings estimate

100%

Connection reuse mentioned

50%

100%

Without context: $0.3110 · 2m 9s · 11 turns · 12 in / 6,059 out tokens

With context: $0.5634 · 3m 30s · 25 turns · 25 in / 9,187 out tokens

90%

User Profile Enrichment Pipeline Optimization

Bulk API batching with connection management

Criteria

Without context

With context

Per-user pattern identified

100%

Batch endpoint used

100%

Batch size limit respected

100%

Batch size as named constant

100%

Session/connection reuse

Timeout configuration retained

100%

Same function signature

100%

Call count: before

100%

Call count: after

100%

Latency improvement estimate

100%

Without context: $0.1881 · 1m 22s · 12 turns · 13 in / 2,402 out tokens

With context: $0.3655 · 1m 53s · 22 turns · 367 in / 4,110 out tokens

Evaluated: about 4 hours ago
Agent: Claude Code

Table of Contents

E-Commerce Checkout Performance Review Data Ingestion Pipeline Latency Audit Marketing Attribution Report Aggregation Latency Slow Financial Data Aggregator Backend API Latency Investigation Contact Sync Performance Problem Product Detail Page Performance Audit API Gateway Latency Investigation User Profile Enrichment Pipeline Optimization

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