dispatcher

Name: dispatcher
Author: adobe

github.com/adobeCloud & DevOps316996 installsUpdated today

About dispatcher

dispatcher is a skill for AEM Cloud Service Dispatcher work, routing requests to guidance for configuration, technical questions, incidents, performance, and security. Its specialists share a seven-tool MCP contract for validation, tracing, inspection, metrics, and logs.

Key features

01Intent-based specialist routing
02Dispatcher configuration authoring
03Runtime incident response
04Cache and throughput tuning
05Security audits and hardening
06Shared seven-tool MCP contract

Use cases

01Editing or validating Dispatcher config files
02Investigating cache anomalies or probe regressions
03Improving cache efficiency and throughput
04Auditing exposure and security headers

MCP support

The skill specifies a shared core-7 MCP tool set for all specialists: validation, linting, SDK checks, request tracing, cache inspection, metrics monitoring, and log tailing.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/adobe/skills --skill dispatcher

After installing, type/dispatcherin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

config-authoring/references/config-authoring/

config-patterns.md

config-scenario-playbooks.md

mcp-tool-orchestration.md

reference-snippets.md

validation-playbook.md

config-authoring/references/dispatcher-foundation/

change-risk-and-rollback-template.md

cloud-service-aemaacs-guardrails.md

core-7-tools-reference.md

local-sdk-execution.md

mode-specific-verification-matrix.md

playbook-command-linkage.md

public-doc-citation-rules.md

public-docs-index.md

quick-start-execution-path.md

README.md

repo-layout-workflows.md

test-case-catalog.md

incident-response/references/dispatcher-foundation/

change-risk-and-rollback-template.md

cloud-service-aemaacs-guardrails.md

core-7-tools-reference.md

local-sdk-execution.md

mode-specific-verification-matrix.md

playbook-command-linkage.md

public-doc-citation-rules.md

public-docs-index.md

quick-start-execution-path.md

README.md

repo-layout-workflows.md

test-case-catalog.md

incident-response/references/incident-response/

incident-report-template.md

Details

From the project README

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

Comments

Markdown supported

Details

Author: adobe
Repository: adobe/skills
Category: Cloud & DevOps
Installs: 996
GitHub stars: 316

Report

More skills

All skills

lark-apps

open.feishu.cn

732.0k

Develop and host Miaoda (Spark/Miaoda) apps: app creation, local full-stack development, cloud generation and iteration, creative design (UI mockups / interactive prototypes / wireframes / landing pages / dashboards / slide decks / visual exploration), integration of AI-related capabilities, Feishu platform capabilities, or other external capabilities; log/Trace/monitoring metric/PV/UV queries; environment variable management; app collaborators and collaboration permissions; app roles and members; and automation triggers (scheduled / record changes / Webhook / Feishu approvals). Use when users want to develop or create a system, tool, platform, or app; develop locally or in the cloud, modify, deploy, publish, launch, or get a shareable link; create a page or website with HTML and deploy it to Miaoda; design, create a mockup, prototype, wireframe, PPT, deck, or visual exploration; or mention Miaoda/Spark/Miaoda apps (links like `/app/app_xxx` or `/page/<token>`, runtime domains like *.aiforce.cloud), app databases, app file storage, open API Keys, visibility, app collaborators/developer permissions, app roles/role members, production logs, API request volume, error volume, latency, traffic, environment variables, or setting up automation tasks, scheduled triggers, or approval-triggered automation for Miaoda apps. Not for regular cloud drive file uploads (lark-drive), Feishu document editing (lark-doc), or native slide creation (lark-slides).

azure-prepare

github.com/microsoft

571.7k

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

wizard

github.com/mattpocock

571.5k

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

azure-ai

github.com/microsoft

571.2k

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.