Performance Optimization
Optimize Full-Stack Performance
Slow applications lose users and make incidents harder to diagnose. This skill gives Claude, Codex, and Claude Code practical patterns for faster systems.
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Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "Performance Optimization" from https://skillstore.io/skills/ariegoldkin-performance-optimization.md and its manifest at https://skillstore.io/api/skills/ariegoldkin-performance-optimization/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "Performance Optimization". A product list page loads slowly and has high database time.
Expected outcome:
- Likely causes include N+1 queries, missing indexes, and unbounded result sets.
- Recommended actions include cursor pagination, query plan review, and a targeted index on the filtering column.
- Validation should compare query duration, row counts, and user-visible load time before and after the change.
Using "Performance Optimization". A React dashboard has poor interaction latency with large lists.
Expected outcome:
- Likely causes include large list rendering, unstable callbacks, and repeated layout reads during updates.
- Recommended actions include virtualization, memoized callbacks, and batching layout reads before writes.
- Validation should track interaction latency, component render counts, and bundle size.
Using "Performance Optimization". An API becomes slow during traffic spikes.
Expected outcome:
- Likely causes include missing response compression, repeated expensive reads, and weak cache invalidation.
- Recommended actions include cache-aside reads, ETags for unchanged responses, and response field selection.
- Validation should monitor response latency, cache hit rate, and error rate under load.
Security Audit
SafeAll 36 static findings are false positives caused by Markdown formatting, TypeScript syntax, local diagnostics, and ordinary performance examples. No malicious commands, credential exposure, reconnaissance, prompt injection, or uncontrolled code loading were found.
Risk Factors
โ๏ธ External commands (23)
๐ Network access (1)
โก Contains scripts (2)
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APA citation
ArieGoldkin. (2026). Performance Optimization security audit report (audit version 9) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/ariegoldkin-performance-optimization/audits/9BibTeX citation
@techreport{ariegoldkin-ariegoldkin-performance-optimization-2026,
author = {ArieGoldkin},
title = {Performance Optimization security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/ariegoldkin-performance-optimization/audits/9},
note = {Author version 1.0.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "Performance Optimization security audit report (audit version 9)"
version: "1.0.0"
type: report
authors:
- name: "ArieGoldkin"
date-released: "2026-07-18"
url: "https://skillstore.io/skills/ariegoldkin-performance-optimization/audits/9"
identifiers:
- type: other
value: "skillstore:ariegoldkin-performance-optimization:audit:9"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
ariegoldkin-performance-optimization
2026-08-21
supercent-io-performance-optimization
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Diagnose Slow Queries
Review database access patterns, find likely query bottlenecks, and plan indexing or pagination changes.
Improve Frontend Responsiveness
Apply bundle splitting, memoization, virtualization, and layout fixes to reduce load time and interaction delay.
Set Performance Guardrails
Define budgets, metrics, and launch checks that keep API latency and Core Web Vitals within targets.
Try These Prompts
Review this feature for likely performance bottlenecks. Focus on database queries, API responses, frontend rendering, and missing measurements.
Analyze these database access patterns. Recommend indexes, query changes, pagination, and N+1 fixes with clear tradeoffs.
Review this React screen for rendering and bundle performance. Recommend code splitting, memoization, virtualization, and layout improvements.
Create a full-stack performance plan for this application. Include targets, instrumentation, caching, database changes, API changes, and rollout checks.
Best Practices
- Measure before and after every optimization so improvements are tied to real performance data.
- Prioritize bottlenecks by user impact, frequency, and cost instead of optimizing isolated code paths.
- Pair caching with explicit invalidation rules, observability, and safe fallback behavior.
Avoid
- Do not add indexes, caches, or memoization without a measured bottleneck and validation plan.
- Do not load full datasets when cursor pagination or bounded queries can satisfy the workflow.
- Do not treat a high lab score as proof that real user performance is healthy.
Frequently Asked Questions
Does this skill run performance tests automatically?
Which parts of the stack does it cover?
Can it improve Core Web Vitals?
Is it specific to one framework?
Can it replace production monitoring?
How should teams validate recommendations?
Developer Details
Author
ArieGoldkinLicense
MIT
Author version
v1.0.0
Skillstore revision
r1
Ref
1b5b6c4962b2ad5a7a34603cab2685bbbd1b61ef
Maintenance freshness
7/18/2026
Usage
9 downloads ยท 188 views
File structure
๐ SKILL.md
๐ templates/
๐ api-optimization.ts
๐ caching-patterns.ts