performance-optimization
Improve Application Performance with Evidence
Performance problems are difficult to diagnose when teams optimize from assumptions. This skill provides a measurement-first workflow for finding bottlenecks, testing fixes, and preventing regressions.
Instalar com meu Agente
Copie esta solicitação para o seu Agente. Ela inclui a página canônica do Skill e o manifesto.
Review the Skillstore skill "performance-optimization" from https://skillstore.io/skills/addyosmani-performance-optimization.md and its manifest at https://skillstore.io/api/skills/addyosmani-performance-optimization/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Seu Agente ainda deve apresentar o plano e solicitar qualquer confirmação exigida pela política de segurança.
Recursos legíveis por agentes
Use estes links quando um agente de IA, crawler ou script precisar de contexto limpo em vez de ler a página completa.
Testar
Usando "performance-optimization". The page has LCP of 4.2 seconds, a 1.8 MB JavaScript bundle, and large hero images.
Resultado esperado:
- Prioritize the hero image and initial JavaScript payload.
- Measure image transfer, render blocking, and bundle composition.
- Test responsive image formats and route-level code splitting.
- Keep the change only if LCP improves beyond normal run-to-run variance.
Usando "performance-optimization". An API loads tasks and fetches each task owner separately.
Resultado esperado:
This is an N+1 query pattern. Fetch tasks with their owners in one query, then compare query count and p95 latency before and after.
Usando "performance-optimization". A cache serves user profiles by profile ID, but the response includes tenant-specific permissions.
Resultado esperado:
The cache key omits a response input. Include tenant and permission context, or avoid shared caching when authorization data must remain isolated.
Auditoria de segurança
SeguroAll 55 static findings were reviewed against SKILL.md. They are false positives caused by documentation examples, Markdown syntax, a relative reference link, and fixed diagnostic SQL; no malicious behavior or prompt injection was found.
Fatores de risco
⚡ Contém scripts (2)
⚙️ Comandos externos (49)
📁 Acesso ao sistema de arquivos (2)
Compartilhar e citar este relatório
Compartilhe o relatório de avaliação versionado, o badge neutro, o cartão incorporável e as citações. A Skillstore apresenta evidências sem decidir se este Skill é seguro.
Copiar link do relatório
https://skillstore.io/skills/addyosmani-performance-optimization/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportBadge Markdown
[](https://skillstore.io/skills/addyosmani-performance-optimization?utm_source=security_passport_badge)Badge HTML
<a href="https://skillstore.io/skills/addyosmani-performance-optimization?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/addyosmani-performance-optimization/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Cartão incorporável
<iframe src="https://skillstore.io/embed/skills/addyosmani-performance-optimization.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Citações acadêmicas (APA · BibTeX · CFF)
Citação APA
addyosmani. (2026). performance-optimization security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/addyosmani-performance-optimization/audits/2Citação BibTeX
@techreport{addyosmani-addyosmani-performance-optimization-2026,
author = {addyosmani},
title = {performance-optimization security audit report (audit version 2)},
institution = {Skillstore},
year = {2026},
number = {2},
url = {https://skillstore.io/skills/addyosmani-performance-optimization/audits/2},
note = {Author version unspecified}
}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 2)"
version: "unspecified"
type: report
authors:
- name: "addyosmani"
date-released: "2026-09-19"
url: "https://skillstore.io/skills/addyosmani-performance-optimization/audits/2"
identifiers:
- type: other
value: "skillstore:addyosmani-performance-optimization:audit:2"
description: "Skillstore immutable audit report identifier"
Comparar variantes
3 variantes instaláveisCada autor permanece como um skill instalável separado. A variante recomendada é classificada pelas evidências do Skillstore.
Por que esta variante está em primeiro
ariegoldkin-performance-optimization
2026-09-09
addyosmani-performance-optimization
2026-09-22
supercent-io-performance-optimization
2026-09-09
Pontuação do Skillstore
Por que esta pontuação Confiança das evidências: MédioO que você pode criar
Diagnose a Slow Web Page
Use measured browser data to identify bundle, rendering, image, interaction, or server-response bottlenecks.
Tune Database-Backed APIs
Review query plans, indexes, pagination, N+1 patterns, and connection pools before changing backend code.
Set a Regression Guardrail
Create performance budgets and monitoring checks that verify improvements and catch later regressions.
Teste estes prompts
My application feels slow. Ask for the minimum data needed, then identify the first measurements I should collect.
Review these LCP, INP, CLS, bundle, and network results. Identify the most likely bottleneck and propose one testable fix.
Analyze this query and EXPLAIN ANALYZE output. Explain the bottleneck, evaluate index options, and state the measurement needed after the change.
Design a controlled performance experiment for this suspected bottleneck. Define the baseline, one change, success threshold, variance check, rollback rule, and regression guard.
Boas práticas
- Measure a representative baseline before proposing an optimization.
- Change one variable at a time and compare results against run-to-run variance.
- Keep only changes that improve the target metric without reducing correctness.
Evitar
- Adding indexes, caches, or memoization without evidence of a measured bottleneck.
- Keeping a neutral optimization because it has already been implemented.
- Combining several changes in one experiment so their effects cannot be attributed.
Perguntas frequentes
What should I measure first?
Can this skill optimize my code automatically?
When should I add a database index?
How should I choose a cache?
How do I know an optimization worked?
Does this cover production monitoring?
Detalhes do desenvolvedor
Autor
addyosmaniLicença
MIT
Revisão da Skillstore
r2
Aviso de versão
O autor não declarou uma versão.
Referência
5d5054f8a23586f9b500fece1cb613a9dffc787b
Atualidade da manutenção
19/09/2026
Uso
1 downloads · 0 visualizações
Estrutura de arquivos
📄 SKILL.md