Dispatcher

Organization

adobe

dispatcher

Single entry point for all AEM as a Cloud Service Dispatcher skills. Covers config authoring, technical advisory, incident response, performance tuning, security hardening, and full lifecycle orchestration for the Adobe Dispatcher Apache HTTP Server module and its HTTPD/dispatcher configuration.

Overview

Publisher	adobe
Repository	`skills`
Skill name	`dispatcher`
Stars	298
Forks	92
Bundled files	90
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
90 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by adobe on GitHub. Read the source before you install it.

Installation

Install the Dispatcher AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/adobe/skills/tree/main/plugins/aem/cloud-service/skills/dispatcher
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/adobe/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/aem/cloud-service/skills/dispatcher .claude/skills/dispatcher

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dispatcher in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dispatcher on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dispatcher is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AEM Cloud Service Dispatcher

Route user requests to the appropriate specialist skill based on intent.

Intent Router

User Intent	Skill	Path
Create, modify, review, or harden dispatcher config files (`.any`, vhost, rewrite, cache, filter)	Config Authoring	config-authoring/SKILL.md
Conceptual questions (`statfileslevel`, filter rules, URL decomposition, cache invalidation, rewrite behavior, security headers)	Technical Advisory	technical-advisory/SKILL.md
Investigate runtime incidents, failures, probe regressions, or cache anomalies	Incident Response	incident-response/SKILL.md
Optimize cache efficiency, latency, and throughput	Performance Tuning	performance-tuning/SKILL.md
Security audit, threat model, exposure control, header hardening	Security Hardening	security-hardening/SKILL.md
End-to-end lifecycle (design → implement → validate → release → incident) or requests spanning multiple concerns	Workflow Orchestrator	workflow-orchestrator/SKILL.md

How to Use

Match the user's request to one row in the Intent Router table above.
Read the linked SKILL.md for that specialist skill.
Follow the workflow, references, and output contract defined in that skill.
For broad or ambiguous requests that span multiple concerns, use the Workflow Orchestrator which coordinates across all specialist skills.

MCP Tool Contract

All specialist skills share the same core-7 MCP tool set:

validate — static config validation
lint — deep/order-aware linting
sdk — SDK check-files and diff-baseline
trace_request — trace a request through dispatcher
inspect_cache — inspect cache state
monitor_metrics — runtime metrics
tail_logs — log tailing

Specialist Skills

config-authoring/SKILL.md — config file design, edits, and validation
technical-advisory/SKILL.md — policy, documentation, cloud guardrails, and evidence planning
incident-response/SKILL.md — runtime incident triage and remediation
performance-tuning/SKILL.md — cache and throughput optimization
security-hardening/SKILL.md — security audit and hardening
workflow-orchestrator/SKILL.md — full lifecycle orchestration across all skills

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 30 more files.

Frequently asked questions

What does the Dispatcher AI skill do?

Why use Dispatcher on TypingMind?

Because you install it once and use it with any model. Dispatcher is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dispatcher in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/adobe/skills/tree/main/plugins/aem/cloud-service/skills/dispatcher. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dispatcher?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dispatcher?

As many as you like. As long as a model supports skills, you can use Dispatcher with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dispatcher AI skill free?

Yes. It is published on GitHub by adobe under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AEM Cloud Service Dispatcher

Intent Router

How to Use

MCP Tool Contract

Specialist Skills

Bundled files

Frequently asked questions

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