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Performance Tuning

  • 3 installs
  • 158 repo stars
  • Updated August 4, 2026
  • adobe/skills

performance-tuning is a Claude Code skill that optimizes Adobe Dispatcher and Apache HTTPD cache and latency for AEM as a Cloud Service using a Dispatcher MCP tool contract.

About

performance-tuning optimizes the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration for AEM as a Cloud Service. It captures baseline metrics and cache evidence, applies cloud guardrails, proposes prioritized low-risk changes, and verifies improvements with a fixed set of Dispatcher MCP tools. A developer uses it to improve cache efficiency, latency, and throughput on AEMaaCS cloud deployments.

  • Tunes Adobe Dispatcher and Apache HTTPD cache efficiency, latency, and throughput for AEMaaCS cloud
  • Captures before/after runtime evidence via a fixed 7-tool Dispatcher MCP contract
  • Prioritizes low-risk, high-impact changes with rollback plans

Performance Tuning by the numbers

  • 3 all-time installs (skills.sh)
  • Ranked #892 of 1,039 Cloud & Infrastructure skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

performance-tuning capabilities & compatibility

Capabilities
performance tuning · cache tuning · dispatcher config · runtime monitoring
Use cases
devops
Pricing
Free
From the docs

What performance-tuning says it does

Improve cache efficiency, latency, and throughput for cloud deployments that use the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration.
SKILL.md
Route edge/WAF/CDN-only concerns to CDN layer guidance instead of Dispatcher config changes.
SKILL.md
npx skills add https://github.com/adobe/skills --skill performance-tuning

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Listed on Skillselion
Installs3
repo stars158
Last updatedAugust 4, 2026
Repositoryadobe/skills

What it does

Improve Adobe Dispatcher cache efficiency, latency, and throughput for AEM as a Cloud Service deployments.

Who is it for?

Improving cache efficiency, latency, and throughput on AEMaaCS Dispatcher cloud deployments.

Skip if: Non-cloud Dispatcher variants and edge/WAF/CDN-only concerns, which are routed to CDN guidance.

When should I use this skill?

Tuning Dispatcher cache and runtime performance for an AEM as a Cloud Service deployment.

What you get

A prioritized optimization list with before/after runtime evidence and a rollback plan.

  • Baseline metrics snapshot
  • Prioritized optimization list with impact/risk
  • Before/after runtime evidence

By the numbers

  • 7-tool Dispatcher MCP contract
  • 6-step tuning workflow

Files

SKILL.mdMarkdownGitHub ↗

Dispatcher Performance Tuning (Cloud)

Improve cache efficiency, latency, and throughput for cloud deployments that use the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration.

Variant Scope

  • This skill is cloud-service-only.
  • Scope is fixed by this skill directory; do not ask the user to choose deployment variant.

MCP Tool Contract

Use only these Dispatcher MCP tools:

  • validate
  • lint
  • sdk
  • trace_request
  • inspect_cache
  • monitor_metrics
  • tail_logs

Workflow

1. Capture baseline metrics and cache evidence. 2. Apply cloud guardrails (immutable/default includes, reserved probe paths, and CDN-vs-Dispatcher ownership) before proposing changes. 3. Prioritize low-risk/high-impact changes. 4. Apply minimal edits. 5. Verify with validate, lint, and sdk. 6. Compare before/after runtime evidence.

Verification Scope Selection

Use shared references to select optimization evidence depth:

  • mode-specific-verification-matrix.md
  • test-case-catalog.md

Output Contract

Always return:

  • baseline metrics snapshot
  • prioritized optimization list with impact/risk
  • changed files and intent
  • executed checks + before/after evidence
  • selected test IDs and outcomes
  • rollback plan and open risks

Guardrails

  • Do not claim improvement without measurable comparison.
  • Keep high-risk tuning opt-in unless user explicitly requests it.
  • Keep cloud assumptions explicit for each recommendation batch.
  • Route edge/WAF/CDN-only concerns to CDN layer guidance instead of Dispatcher config changes.

References

  • optimization-patterns.md
  • performance-scenario-playbooks.md – scenario-driven tuning flows adapted from broader MCP prompt surfaces
  • load-testing-guidance.md
  • performance-monitoring-setup.md
  • quick-start-execution-path.md – fast entry path for optimization requests
  • repo-layout-workflows.md – map performance findings to cache, farm, vhost, and rewrite file families
  • playbook-command-linkage.md – exact MCP command chains for tuning playbooks
  • mode-specific-verification-matrix.md
  • cloud-service-aemaacs-guardrails.md – cloud-service-only immutable/include/runtime boundary checks from AEMaaCS patterns
  • test-case-catalog.md
  • change-risk-and-rollback-template.md
  • public-docs-index.md
  • public-doc-citation-rules.md
  • core-7-tools-reference.md

Related skills

FAQ

Which deployment variants does it support?

It is cloud-service-only and requires the Dispatcher MCP configured with AEM_DEPLOYMENT_MODE=cloud.

Does it handle CDN or WAF tuning?

No. Edge/WAF/CDN-only concerns are routed to CDN layer guidance instead of Dispatcher config changes.

Cloud & Infrastructureinframonitoring

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