Complete catalog of 130+ Effect-TS patterns from EffectPatterns repository. Use when looking for specific implementation patterns, best practices, or real-world examples.
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Queue and PubSub patterns, background fibers, and graceful shutdown. Use for decoupling producers/consumers.
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Resource safety with acquireRelease, Effect.scoped, and finalizers. Use when opening files, sockets, servers, or external handles.
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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…
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Schema.TaggedStruct, Schema.TaggedClass, branded types, refinements, transformations. Pattern matching on _tag.
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Effect Schema conventions and patterns. Triggers on Schema class creation, tagged unions, enums, type guards, or test fixtures using Effect Schema.
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Instructions on how to properly utilize Effect scopes for resource management, lifecycle concerns, etc.
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Generate new Effect-TS services with proper patterns. Use when creating new services, layers, or adding methods to existing services.
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Creating Effect.Service<>() classes, Context.Tag patterns, Layer composition. Decision trees for when to use which pattern.
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Effect patterns for SQL databases (Drizzle/Kysely/Prisma): services, transactions, retries, streaming, and observability.
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Stream creation, consumption, transformation. Stream.async, Stream.fromSchedule, Stream.runForEach. Progressive data patterns for Effect-TS streams.
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Stream creation, transformation, sinks, batching, and resilience. Use when building data pipelines with concurrency and backpressure.
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Expert skill for designing and implementing algebraic effect systems including effect annotation, inference, handlers, polymorphism, and row-based effect typing.
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Time with Clock/Duration, tracing spans, and structured logging. Use for time-based logic, deadlines, and observability.
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Dart 3 modern features (through 3.10) and Effective Dart best practices including records, patterns, sealed classes, dot shorthands, null-aware collection elements, and wildcard…
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Java best practices guide based on Effective Java. Use when reviewing Java code, discussing design patterns, object creation, equals/hashCode, Optional, Stream API, exception…
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Master effective prompting techniques for Claude Code. Use when learning prompt patterns, improving task descriptions, optimizing Claude interactions, or troubleshooting why…
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Expert in effective rent calculations using Ponzi Rental Rate (PRR) framework. Use when calculating NER, NPV, breakeven analysis, landlord investment returns, or analyzing lease…
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Best practices for writing SIMBL tasks that Claude can execute with zero context. Use when creating or refining tasks for maximum clarity.
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Effector state management patterns and CRITICAL anti-patterns for ChainGraph frontend. Use when writing Effector stores, events, effects, samples, or any reactive state code.
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Sarasvathy's effectuation framework for pre-PMF exploration, post-pivot situations, and Knightian uncertainty.
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Knowledge pack for baseline establishment, quality gating, and efficiency report composition. Auto-loaded by metrics-agent and by /report command.
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Optimize API costs by adjusting thinking effort per task type. Use with ralph-agent-teams or ralph-loop to reduce token usage on repetitive tasks while maximizing quality on…
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Escape from Tarkov game domain knowledge for EFT-Tracker. Understands quest structures, traders, Kappa container progression, and tarkov.dev API integration.
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当社EHR-RWDの強み（経過記録テキスト、臨床サマリー、検査値）を最大限活用する 研究デザインを設計する。クレームDB（JMDC/MDV）では不可能な研究要素を具体化。
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1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work. 2.
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Structured 8D problem solving for customer complaints and quality issues. D0-D8 phases with containment, root cause analysis, and escape point identification.
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Use when querying Einstein Activity Capture (EAC) activity metrics, accessing synced email and event data via Apex, reporting on captured activities, or understanding EAC's…
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Use when deciding whether Salesforce Reports, CRM Analytics, or Tableau should be used for analytics, or when reviewing and troubleshooting basic CRM Analytics designs.
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Guide practitioners through building Einstein Next Best Action strategies using Flow Builder, configuring Recommendation records, and surfacing recommendations via the Actions &…
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Einstein Prediction Builder for creating custom binary classification predictions on Salesforce objects: field selection, training data requirements, model activation, score…
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Einstein Search personalization: configure search result ranking, promoted results, searchable objects, and Natural Language Search (NLS) for Lightning Experience.
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Applies Eisenhower matrix logic to prioritize work. Use when the user asks about priorities, what to work on next, or when triaging tasks and brain dump items.
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Fakturor, bokforing, momsredovisning, resultatrapport — svensk standard for aktiebolag
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Eks Cluster Config - Auto-activating skill for AWS Skills. Triggers on: eks cluster config, eks cluster config Part of the AWS Skills skill category.
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EKS observability with metrics, logging, and tracing. Use when setting up monitoring, configuring logging pipelines, implementing distributed tracing, building production…
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Index and search project knowledge. Use when starting a new task to find related prior work, when ingesting documents or chats, or when searching project history for context.
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Elasticache Config - Auto-activating skill for AWS Skills. Triggers on: elasticache config, elasticache config Part of the AWS Skills skill category.
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LDE（Law-Driven Engineering）の接地（Grounding）検証スキル。 LawとTermの両方について、検証手段・観測手段が設定されているか検証する。 CI/CD統合のためのチェックリストとスクリプトを提供。 使用タイミング: (1) PR作成前の接地確認、(2) CI/CDパイプラインでの自動検証、 (3) 「Grounding…
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PCE (Process-Context Engine) の出力評価スキル。生成物の品質とLaw（法則）との整合性を検証する。 LDE（Law-Driven Engineering）との統合により、Law遵守チェックも実行。
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PCE（Process-Context Engine）とLDE（Law-Driven Engineering）を統合した実行時Law違反監視スキル。 本番環境でのLaw違反を検知し、pce-memoryにフィードバックして継続的改善を促す。 使用タイミング: (1) 本番ログからLaw違反を分析する時、(2) 「Law違反を確認して」、 (3)…
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PCE (Process-Context Engine) を活用したPRレビュースキル。Compile→Execute→Captureのフローでレビューを行い、知見を蓄積する。 LDE（Law-Driven Engineering）との統合により、Law遵守・Grounding検証も実行。
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LDE（Law-Driven Engineering）のLaw Card作成スキル。 ビジネス上の「守るべき条件」を標準フォーマットで文書化する。 使用タイミング: (1) 新しいLawを追加する時、(2) 既存Lawを更新する時、 (3) Law Catalogに新規エントリを追加する時、(4) Grounding Mapを更新する時
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コードベースや要件からVocabulary（語彙）とLaw（守るべき条件）を自動発見するスキル。 名辞抽象（Term/Type）と関係抽象（Law/制約）の両方を抽出し、 /lde-term-card および /lde-law-card への入力を生成する。 使用タイミング: (1) 新規プロジェクトでVocabulary/Lawを洗い出す時、 (2)…
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LDE（Law-Driven Engineering）のLink Map（連結表）管理スキル。 Law ↔ Term の相互参照関係を可視化し、孤立の検出と影響分析を行う。 使用タイミング: (1) Law Cardを作成した後、(2) Term Cardを作成した後、 (3) 「Link Mapを更新して」「孤立チェックして」、(4) 変更影響分析時
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LDE（Law-Driven Engineering）のTerm Card作成スキル。 ドメインの語彙（Vocabulary）を標準フォーマットで文書化し、名辞抽象を具体化する。 使用タイミング: (1) 新しいTermを追加する時、(2) 既存Termを更新する時、 (3) Vocabulary Catalogに新規エントリを追加する時、(4)…
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ELD（Evidence-Loop Development）のPredict（予測）フェーズスキル。 変更の影響を因果タイプで分類し、段階化戦略と停止条件を確定する。 「賢く動く」よりも「壊さずに収束する」を優先。 使用タイミング: (1) 実装前の影響分析、(2) 「影響予測して」「段階化計画を立てて」、 (3) Phase 2:…
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PCE (Process Context Engine) のメンテナンススキル。現存する Claim の品質を維持し、 間違い・不要・古い・重複した Claim を整理する。pce_memory_feedback を使用して 更新・削除・評価を行う。メモリの健全性を保ちたい場合、Claim の品質問題を発見した場合、…
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Collect and verify project information for pce-memory with multi-model validation using Codex CLI. Use when gathering project context, onboarding to a new codebase, or building a…
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Audit an assisted living or elder care platform for resident safety and operational quality. Evaluates vital sign monitoring, fall detection and prevention, medication…
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Bạn đồng hành AI cho bà nội. Gồm 4 chức năng: A) Phát nhạc xưa (bolero, cải lương) qua loa phòng bà B) Đọc truyện bằng TTS tiếng Việt, nhớ vị trí đọc dở C) Nhắc sinh hoạt mỗi 2…
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Báo cáo tình trạng bà mỗi ngày lúc 21:00. Tổng hợp dữ liệu từ tất cả eldercare skills: hoạt động, cuộc gọi, cảnh báo, môi trường phòng.
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Danh sách liên lạc khẩn cấp cho người cao tuổi Việt Nam. Tích hợp vào SOS Level 3: cung cấp thông tin y tế cho cấp cứu. Gia đình chat "cấp cứu" hoặc "emergency" để xem danh sách.
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Hướng dẫn bài tập nhẹ cho người cao tuổi nằm giường hoặc ngồi. TTS đọc từng bước chậm rãi, đếm giữ, nghỉ giữa các bài.
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Create detailed storyboards for interactive digital learning content specifying narration, visuals, interactions, and navigation
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Use when working on any Electrobun desktop app — BrowserWindow, BrowserView, events, app lifecycle, ApplicationMenu, Tray, and electrobun.config.ts.
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The master index for the electrobun-dev Claude Code plugin. Use when starting a new Electrobun project, unsure which skill or command to use, wanting a full overview of what the…
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Use when scaffolding a new Electrobun project, choosing a template, or understanding what each template provides.
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Use when building Electrobun features for the milady-ai/milady project, submitting PRs that will be reviewed by milady's agent-review system, or understanding how the…
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Use when distributing Electrobun apps, configuring auto-updates, uploading artifacts, understanding update channels, or integrating the Updater API.
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