East Execution Engine (e3) - durable dataflow execution for East programs. Use when: (1) Authoring e3 packages with @elaraai/e3 (e3.input, e3.task, e3.package, e3.export), (2) Running e3 CLI commands (e3 init, e3 start, e3 watch, e3 get, e3 set), (3) Working with workspaces and packages, (4) Content-addressable caching and dataflow execution.

Manage EA Play subscription, game library, and access EA titles

Master orchestrator for batch earnings analysis

Predicts stock direction/magnitude at T=0 (report release). Uses PIT data only. Run before earnings-attribution.

Expert on EAS Update for over-the-air updates in Expo apps. Covers update deployment, rollouts, rollbacks, channels, branches, and runtime versions. Invoke when user mentions EAS Update, OTA updates, hot updates, update channels, or app updates without app store.

Data science and machine learning platform functions for the East language (TypeScript types). Use when writing East programs that need optimization (MADS, Optuna, SimAnneal, Scipy), machine learning (XGBoost, LightGBM, NGBoost, Torch MLP, Lightning, GP), ML utilities (Sklearn preprocessing, metrics, splits), or model explainability (SHAP). Triggers for: (1) Writing East programs with @elaraai/east-py-datascience, (2) Derivative-free optimization with MADS, (3) Bayesian optimization with Optuna, (4) Discrete/combinatorial optimization with SimAnneal, (5) Gradient boosting with XGBoost or LightGBM, (6) Probabilistic predictions with NGBoost or GP, (7) Neural networks with Torch MLP or Lightning, (8) Data preprocessing and metrics with Sklearn, (9) Model explainability with Shap.

ebfe-validator

Surface ebook ideas you didn't know you had. Use when ready to discover what ebooks might be hiding in your content, expertise, or thinking. Supports both content-rich creators (blog posts, videos, newsletters) and those with unpublished expertise. Produces a curated list of ebook candidates ready for Concept Development. Handles multi-session discovery with living documents.

AWS EC2 virtual machine management for instances, AMIs, and networking. Use when launching instances, configuring security groups, managing key pairs, troubleshooting connectivity, or automating instance lifecycle.

Control ecobee smart thermostats and sensors

economist-analyst

Guide to spences10's Claude Code ecosystem. Use when user asks which tool to use, how tools relate, or needs help choosing between MCP servers, skills, or CLIs.

View ecosystem updates, tracked repositories, and cross-project status. Use when asked about ecosystem health, repo updates, project status, or what's happening across the codebase.

AWS ECS container orchestration for running Docker containers. Use when deploying containerized applications, configuring task definitions, setting up services, managing clusters, or troubleshooting container issues.

Ghost.io Admin API CLI for managing blog posts, pages, tags, and content.

Use when defining data structures using Ecto schemas including fields, associations, embedded schemas, and schema metadata. Use for modeling domain data in Elixir applications.

Use when defining and working with Ecto schemas including field types, associations, and embedded schemas. Use when modeling database entities in Elixir.

Use when writing Ecto code. Contains insights about Contexts, DDD patterns, schemas, changesets, and database gotchas from José Valim.

Electronics project architecture and constraint definition. Guides users through defining project requirements, power systems, interfaces, and physical constraints.

PCB layout and routing. Component placement, trace routing, copper pours, design rule configuration, and layout optimization for manufacturability.

Schematic capture and wiring. Create schematic sheets, place symbols, add wires and net labels, organize hierarchical designs.

Systematic 5-category analysis for exhaustive edge case enumeration.

Analyze a PRD for edge cases, failure modes, and scenarios that might be missed. Use after creating a PRD to strengthen it. Triggers on: analyze edge cases, find edge cases, what could go wrong, edge case analysis.

Deploy to edge runtimes (Cloudflare Workers, Vercel Edge, Deno Deploy) for globally distributed, low-latency applications. Master edge middleware, streaming, and runtime constraints for 2025+ edge computing.

Edge computing, IoT protocols, and embedded systems integration

edge-stack

edit-schema

Creates and validates catalog items for edition JSON files including spells, qualities, gear, augmentations, weapons, armor, adept powers, foci, and complex forms. Use when adding new items to core-rulebook.json or sourcebook files, or when validating existing catalog entries.

Create ECS component editors using IComponentEditor interface, ComponentEditorRegistry.DrawComponent wrapper, VectorPanel for vectors, and UIPropertyRenderer for simple properties. Covers registration in DI container and manual change detection patterns.

Step-by-step workflow for creating new editor panels including interface design, DI registration, EditorLayer integration, and menu bar setup. Focuses on panel architecture and lifecycle, not UI component APIs.

Comprehensive guide for using Editor UI Drawers (ButtonDrawer, ModalDrawer, TableDrawer, TreeDrawer, LayoutDrawer, TextDrawer, DragDropDrawer). Use when implementing any UI in editor panels to ensure consistency.

Guide proper usage of Editor UI infrastructure including Drawers (ButtonDrawer, ModalDrawer, TableDrawer, etc.), Elements (drag-drop targets, ComponentSelector), FieldEditors, and EditorUIConstants. Use when implementing editor panels, component editors, or any ImGui UI code to ensure consistency and code reuse.

Edit and refine textual content for clarity, style, and coherence in pilot documentation. Use when polishing drafts for reports, briefs, user guides, or narrative artifacts to ensure professional and consistent communication.

Use when designing animations for educational platforms, e-learning, tutoring apps, or skill-building experiences

Use when creating educational content, explaining concepts through animation, or when teaching animation principles to students.

Access edX university courses, MicroMasters, and professional certificates

Effect AI (`@effect/ai`) provides type-safe integration with AI/LLM services:

Atom.runtime, Atom.make, runtimeAtom.fn, operation atoms, Result handling. Atom-as-State doctrine for integrating Effect services with React.

Use when Effect core patterns including Effect<A, E, R> type, succeed, fail, sync, promise, and Effect.gen for composing effects. Use for basic Effect operations.

HTTP server, routing, JSON responses and dependencies via layers. Use when wiring endpoints and services.

Quick lookup for Effect TypeScript library APIs, patterns, and source code. Use when you need to find Effect functions, understand Effect patterns, or look up implementation details.

Effect-TS pattern reference for TMNL. Invoke when implementing services, schemas, atoms, or Effect-based architecture. Provides canonical file locations and pattern precedents.

Use when Effect resource management patterns including Scope, addFinalizer, scoped effects, and automatic cleanup. Use for managing resources in Effect applications.

Resource safety with acquireRelease, Effect.scoped, and finalizers. Use when opening files, sockets, servers, or external handles.

Define Effect schemas that are verified against domain types. Use when authoring or updating Effect Schema definitions, or when the user mentions schema/type parity, satisfies, or tsafe Equals checks.

Instructions on how to properly utilize Effect scopes for resource management, lifecycle concerns, etc.

Effect patterns for SQL databases (Drizzle/Kysely/Prisma): services, transactions, retries, streaming, and observability.

FloxHub publication `bmorphism/effective-topos` - a comprehensive development

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