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Found 124 Skills
Jotai state management patterns — atoms, globalAtom, contextAtom, and persistence.
Choose and implement effector-storage persistence patterns for Effector apps. Use when tasks involve persist/createPersist usage, selecting adapters (local/session/query/broadcast/storage/asyncStorage/memory/nil/log), configuring clock/pickup/context/keyPrefix, validating data with contracts, handling done/fail/finally flows, SSR-safe adapter fallback with either, or debugging sync and serialization issues.
Adaptive sprint workflow: deep analysis, evolving roadmap, one-at-a-time sprints, formal debt tracking, and re-entry prompts for context persistence. Trigger: When the user wants to analyze a project, create a roadmap, generate/execute sprints iteratively, or check project status and technical debt.
Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cookie proxies. Covers ChatKitServer, useChatKit, and MCP auth patterns. NOT when building simple chatbots without persistence or custom agent integration.
State persistence patterns for autonomous-dev including JSON persistence, atomic writes, file locking, crash recovery, and state versioning. Use when implementing stateful libraries or features requiring persistent state.
Best practices for using agent-browser with Kernel cloud browsers. Use when automating websites with agent-browser -p kernel, dealing with bot detection, iframes, login persistence, or needing to find Kernel browser session IDs and live view URLs.
Durable UI patterns for modern web development — persisting client-side state across page loads, browser sessions, and shareable URLs. Use this skill when implementing localStorage persistence, URL query parameter state, form draft auto-save, multi-step wizard persistence, click-outside dismissal, modal/dialog backdrop patterns, or any client-side state and interaction pattern that should be resilient and well-behaved. Works with React, Vue, and Svelte.
Use when implementing player data persistence in Roblox, saving/loading player stats or inventory, building leaderboards with ordered datastores, handling data migration between versions, diagnosing data loss issues, or adding auto-save and shutdown-safe data handling with DataStoreService.
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpoin...
Analyze candidate algorithms for time/space complexity, scalability limits, and resource-budget fit (CPU, memory, I/O, concurrency). Use when feasibility depends on input growth or latency/memory constraints and quantitative bounds are required before implementation; do not use for persistence schema or deployment topology decisions.
Specialized integration evaluator for the Evaluate-Loop. Use this for evaluating tracks that integrate external services — Supabase auth/DB, Stripe payments, Gemini API, third-party APIs. Checks API contracts, auth flows, data persistence, error recovery, environment config, and end-to-end flow integrity. Dispatched by loop-execution-evaluator when track type is 'integration', 'auth', 'payments', or 'api'. Triggered by: 'evaluate integration', 'test auth flow', 'check API', 'verify payments'.
Apache Pekko + Scala 3によるCQRS/Event Sourcing実装ガイド。 PersistenceEffectorを用いた集約アクター、ドメインモデルとアクターの分離、 状態遷移の型安全な表現、イベント設計、Protocol Buffersシリアライズ、 ZIOベースのユースケース層、リードモデルアップデータの実装パターンを提供する。 対象言語: Scala 3限定。CQRS/Event Sourcingアーキテクチャが前提の場合のみ使用。 トリガー条件: 「Scala」かつ「CQRS」または「Event Sourcing」または「Pekko」が リクエストに含まれる場合のみ起動。Scala以外の言語やCQRS/ES以外のアーキテクチャでは このスキルを使用してはならない。 トリガー：「PekkoでCQRS/ESを実装したい」「Scalaで集約アクターを書きたい」 「PersistenceEffectorの使い方」「Pekkoのイベントソーシング」 「ScalaでCQRSのコマンド側を実装」「Pekkoで状態遷移を管理」 といったPekko + Scala + CQRS/ES実装リクエストで起動。 非トリガー：「CQRSのトレードオフ」「イベントソーシングとは」「JavaでCQRS」 「GoでEvent Sourcing」「CQRSの概念を教えて」など、Scala/Pekko以外や概念的な質問では 起動してはならない。