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.
Installer avec mon Agent
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
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.Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.
Ressources lisibles par les agents
Utilisez ces liens lorsquâun Agent IA, un crawler ou un script a besoin dâun contexte propre au lieu de lire toute la page.
Tester
Utilisation de « performance-optimization ». The page has LCP of 4.2 seconds, a 1.8 MB JavaScript bundle, and large hero images.
RĂ©sultat attendu:
- 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.
Utilisation de « performance-optimization ». An API loads tasks and fetches each task owner separately.
RĂ©sultat attendu:
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.
Utilisation de « performance-optimization ». A cache serves user profiles by profile ID, but the response includes tenant-specific permissions.
RĂ©sultat attendu:
The cache key omits a response input. Include tenant and permission context, or avoid shared caching when authorization data must remain isolated.
Audit de sécurité
SûrAll 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.
Facteurs de risque
⥠Contient des scripts (2)
âïž Commandes externes (49)
đ AccĂšs au systĂšme de fichiers (2)
Partager et citer ce rapport
Partagez le rapport dâĂ©valuation versionnĂ©, le badge neutre, la carte intĂ©grable et les citations. Skillstore prĂ©sente les preuves sans dĂ©cider si ce Skill est sĂ»r.
Copier le lien du rapport
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>Carte intégrable
<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>Citations académiques (APA · BibTeX · CFF)
Citation APA
addyosmani. (2026). performance-optimization security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/addyosmani-performance-optimization/audits/2Citation 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"
Comparer les variantes
3 variantes installablesChaque auteur reste un skill installable distinct. La variante recommandée est classée selon les preuves Skillstore.
Pourquoi cette variante est premiĂšre
ariegoldkin-performance-optimization
2026-10-24
addyosmani-performance-optimization
2026-09-22
supercent-io-performance-optimization
2026-09-09
Score Skillstore
Pourquoi ce score Niveau de confiance des preuves: MoyenCe que vous pouvez créer
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.
Essayez ces 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.
Bonnes pratiques
- 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.
Ăviter
- 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.
Foire aux questions
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?
Détails du développeur
Auteur
addyosmaniLicence
MIT
RĂ©vision Skillstore
r2
Avis de version
Lâauteur nâa dĂ©clarĂ© aucune version.
RĂ©f
5d5054f8a23586f9b500fece1cb613a9dffc787b
RĂ©cence de maintenance
19/09/2026
Utilisation
1 téléchargements · 0 vues
Structure de fichiers
đ SKILL.md