darthmolen

Advanced Context Engineering with Frequent Intentional Compaction (ACE-FCA) for complex coding tasks. Use this skill when working on brownfield codebases, large repos (100k+ LOC), complex bugs, multi-file refactors, or features requiring deep codebase understanding. Triggers include requests to fix bugs in unfamiliar code, implement features in large codebases, understand complex code flows, or when the user mentions "research plan implement", "ACE-FCA", or "frequent compaction". This workflow prevents context window exhaustion and produces high-quality, reviewable artifacts.

Use when peeking, draining, snapshotting metrics on, enumerating, or otherwise inspecting/manipulating Azure Service Bus subscriptions, queues, or dead-letter sub-queues — including diagnosing DLQ accumulation, capturing parked messages for forensics before discard, draining stuck alert backlogs, comparing active/dlq counts across multiple subs, enumerating an entire namespace's topology, or clearing a subscription's ForwardTo (which the az CLI cannot do).

Use on a loop interval to check for code slices awaiting review in planning/code-reviews/needs-review/, move to in-progress, dispatch code-reviewer subagent, append findings, and move to reviewed/ - silent when no files found

Use when reviewed code-review slices are ready for triage and the developer wants to walk findings, classify them accept/merge/reject/flag, and apply accepted changes to code — third punch-in command of the code review workflow, after code-review-plan-execute completes

Use when ready to plan a code review of a development branch — walks the branch, discovers existing plan documents, maps commits to plans, Q&As unmapped commits with the user, and writes a meta-plan with a slice table at planning/YYYY-MM-DD-code-review-plan-<slug>.md

Use when a code-review meta-plan is ready and you want to drive the full review pipeline — pre-flight, seed slices, dispatch reviewers per slice, synthesize findings, and notify on completion; defensive and idempotent so repeated runs resume from where the last run stopped

Use when a code-review meta-plan is finalized and you need to fan it out into one slice spec per row in the meta-plan's slice table — produces N files in planning/code-reviews/needs-review/ ready for code-intake-review to drain

Use when queueing a slice of a branch for code review — builds a slice spec from a commit range, focus areas, and plan-doc refs, and drops it in planning/code-reviews/needs-review/ for the intake loop to pick up

Decision frameworks for Azure OpenAI Service, Azure AI Search, AI Studio, Prompt Flow, Document Intelligence, Bot Service, RAG architecture patterns, and Responsible AI practices

Cloud architecture decision frameworks — WAF pillars, landing zones, compute selection, multi-region design, and disaster recovery patterns

Cost analysis frameworks — reservation strategies, right-sizing, Hybrid Benefit, budget management, TCO analysis, and cost allocation patterns

Azure application platform specialist — App Service, Functions, Container Apps, Static Web Apps, APIM, SignalR, Redis Cache, Storage, and Cosmos DB patterns

Infrastructure-as-code specialist for Azure — ARM/Bicep templates, Terraform azurerm provider, Azure CLI, deployment automation, DevOps pipelines, resource naming, tagging, and cost management

AKS specialist — cluster design, networking, security, Helm, KEDA autoscaling, ACR, monitoring, and GitOps with Flux or ArgoCD

Decision frameworks for Azure Machine Learning workspaces, compute, ML pipelines, MLflow, model registry, managed endpoints, AutoML, Responsible AI dashboard, Databricks integration, and AzureML SDK v2

Network architecture decisions — VNets, NSGs, load balancing, private connectivity, DNS, firewall, and hybrid networking patterns

Decision frameworks for Azure OpenAI Service, Azure AI Search, AI Studio, Prompt Flow, Document Intelligence, Bot Service, RAG architecture patterns, and Responsible AI practices

Cloud architecture decision frameworks — WAF pillars, landing zones, compute selection, multi-region design, and disaster recovery patterns

Cost analysis frameworks — reservation strategies, right-sizing, Hybrid Benefit, budget management, TCO analysis, and cost allocation patterns

Azure application platform specialist — App Service, Functions, Container Apps, Static Web Apps, APIM, SignalR, Redis Cache, Storage, and Cosmos DB patterns

Infrastructure-as-code specialist for Azure — ARM/Bicep templates, Terraform azurerm provider, Azure CLI, deployment automation, DevOps pipelines, resource naming, tagging, and cost management

AKS specialist — cluster design, networking, security, Helm, KEDA autoscaling, ACR, monitoring, and GitOps with Flux or ArgoCD

Decision frameworks for Azure Machine Learning workspaces, compute, ML pipelines, MLflow, model registry, managed endpoints, AutoML, Responsible AI dashboard, Databricks integration, and AzureML SDK v2

Network architecture decisions — VNets, NSGs, load balancing, private connectivity, DNS, firewall, and hybrid networking patterns

Use when asked to regenerate audio examples with shorthand like "L15 > P1 > E2" or "lesson 15 pattern 1 example 2" - runs regenerate_example.py with correct parameters

Start the TTS server in HTTP mode for audio generation

Stop the TTS server

Use when iteratively improving agent prompts through automated LLM-as-Judge evaluation. Runs eval→fix→commit loop with circuit breakers.

Use when creating a new Hytale server plugin project from scratch. Covers Java/Gradle setup, plugin manifest, main class boilerplate, and project structure.

Use when building or modifying 3D models for Hytale via Blockbench MCP. Covers geometry creation, texturing, UV mapping, animation, and export workflows.

Use when a feature branch is finished and ready to ship the VS Code extension to the Marketplace - codifies the end-to-end release runbook (verify branch, bump version from last published, gate on tests, PR, poll for review, squash-merge to main, vsce publish, tag + GitHub release). Triggers - "publish", "ship it", "cut a release", "release this", "push to marketplace".

Use when developing, testing, or iterating on CSS animations for the VS Code webview sidebar - provides test panel workflow, animation patterns, and gotchas for emoji/text animations in both light and dark themes