# Performance Tuning

> Optimize performance of the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration for AEM 6.5 / AMS workflows only, with AMS-specific baseline and runtime verification.

- **Type:** Skill
- **Install:** `agentstack add skill-adobe-skills-performance-tuning`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [adobe](https://agentstack.voostack.com/s/adobe)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [adobe](https://github.com/adobe)
- **Source:** https://github.com/adobe/skills/tree/main/plugins/aem/6.5-lts/skills/dispatcher/performance-tuning
- **Website:** https://www.adobe.com/ai/overview.html

## Install

```sh
agentstack add skill-adobe-skills-performance-tuning
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Dispatcher Performance Tuning (AMS)

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

## Variant Scope

- This skill is AMS-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 AMS 6.5 guardrails (tier boundaries, variable-driven config, flush ACL safety) to candidate optimizations.
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](./references/dispatcher-foundation/mode-specific-verification-matrix.md)
- [test-case-catalog.md](./references/dispatcher-foundation/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 AMS assumptions explicit for each recommendation batch.

## References

- [optimization-patterns.md](./references/performance-tuning/optimization-patterns.md)
- [performance-scenario-playbooks.md](./references/performance-tuning/performance-scenario-playbooks.md) – scenario-driven tuning flows adapted from broader MCP prompt surfaces
- [load-testing-guidance.md](./references/performance-tuning/load-testing-guidance.md)
- [performance-monitoring-setup.md](./references/performance-tuning/performance-monitoring-setup.md)
- [quick-start-execution-path.md](./references/dispatcher-foundation/quick-start-execution-path.md) – fast entry path for optimization requests
- [repo-layout-workflows.md](./references/dispatcher-foundation/repo-layout-workflows.md) – map performance findings to cache, farm, vhost, rewrite, and variable file families
- [playbook-command-linkage.md](./references/dispatcher-foundation/playbook-command-linkage.md) – exact MCP command chains for tuning playbooks
- [ams-6-5-guardrails.md](./references/dispatcher-foundation/ams-6-5-guardrails.md)
- [mode-specific-verification-matrix.md](./references/dispatcher-foundation/mode-specific-verification-matrix.md)
- [test-case-catalog.md](./references/dispatcher-foundation/test-case-catalog.md)
- [change-risk-and-rollback-template.md](./references/dispatcher-foundation/change-risk-and-rollback-template.md)
- [public-docs-index.md](./references/dispatcher-foundation/public-docs-index.md)
- [public-doc-citation-rules.md](./references/dispatcher-foundation/public-doc-citation-rules.md)
- [core-7-tools-reference.md](./references/dispatcher-foundation/core-7-tools-reference.md)

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [adobe](https://github.com/adobe)
- **Source:** [adobe/skills](https://github.com/adobe/skills)
- **License:** Apache-2.0
- **Homepage:** https://www.adobe.com/ai/overview.html

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-adobe-skills-performance-tuning
- Seller: https://agentstack.voostack.com/s/adobe
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.