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Found 23 Skills
Expert blueprint for signal-driven architecture using "Signal Up, Call Down" pattern for loose coupling. Covers typed signals, signal chains, one-shot connections, and AutoLoad event buses. Use when implementing event systems OR decoupling nodes. Keywords signal, emit, connect, CONNECT_ONE_SHOT, CONNECT_REFERENCE_COUNTED, event bus, AutoLoad, decoupling.
Recommends modularity, composition, and decoupling patterns for design challenges. Use when designing plugin architectures, reducing coupling, improving testability, or separating cross-cutting concerns.
Use signals for decoupling without creating hidden event webs, ownership confusion, or lifecycle bugs.
Asynchronous event-based communication to decouple producers/consumers for scalability and resilience. Triggers: event-driven, message queue, pub/sub, asynchronous, decoupling Use when: real-time workloads or multiple subsystems react to same events DO NOT use when: selecting paradigms (use architecture-paradigms first), simple request-response.
End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration.
Architect Unity 6 data and decoupling with ScriptableObjects: config/data assets, shared runtime variables, event channels, and runtime sets/registries. Use when designing data-driven systems, replacing singletons/managers, creating .asset data with CreateAssetMenu, or when the user mentions ScriptableObject, SO architecture, or data assets.
Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.
Use Litestar's event emitter and listener system with `@listener`, `request.app.emit()`, multiple listeners per event, multi-event listeners, shared argument contracts, and custom event emitter backends. Use when decoupling async side effects, fanout-style in-process notifications, or transport-triggered domain events inside a Litestar app. Do not use for startup/shutdown lifecycle hooks, request/response interception, or broker-backed pub-sub systems that belong in app setup, lifecycle hooks, or channels.
Personal C# conventions - style/structure (file layout, naming, member/ctor ordering, methods, types, visibility, modern C# 11/12/13 syntax, forbidden patterns, XML doc) and runtime behavior (DateTime/IClock, async, dispose, exceptions + Result, structured logging, secrets/config, LINQ, System.Text.Json, decoupling + DI lifetimes). Load before creating or editing any `.cs` file - writing, reviewing, or refactoring C#; do not lean on recalled conventions.
EMC pre-compliance risk analysis for KiCad PCB designs — 18 check categories, 44 rule IDs covering ground planes, decoupling, I/O filtering, switching harmonics, clock routing, differential pair skew, board edge radiation, PDN impedance, return paths, crosstalk, ESD protection, shielding, and magnetic leakage from switching inductors. Produces severity-ranked risk report with pre-compliance test plan. Supports FCC Part 15, CISPR 32, CISPR 25 (automotive), MIL-STD-461G. SPICE-enhanced when available. Use when the user asks about EMC, EMI, radiated/conducted emissions, FCC compliance, CE marking, CISPR, ground plane issues, decoupling strategy, clock routing EMC, switching noise, differential pair skew, or whether their board will pass EMC testing. Also for "will this pass FCC?", "check my EMC", "is my ground plane okay?", "check my decoupling", or "generate an EMC test plan".
Gang of Four design patterns reference. Use this skill when implementing, discussing, or choosing object-oriented design patterns. Auto-activates for architecture decisions, refactoring, and decoupling concerns. Comprehensive coverage of all 23 GoF patterns with pseudocode examples.
Async communication patterns using message brokers and task queues. Use when building event-driven systems, background job processing, or service decoupling. Covers Kafka (event streaming), RabbitMQ (complex routing), NATS (cloud-native), Redis Streams, Celery (Python), BullMQ (TypeScript), Temporal (workflows), and event sourcing patterns.