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Add controllable rain, storms, and snow to Three.js scenes. Coordinate visible precipitation, lightning with delayed thunder, accumulating snow, wet ground, puddles, and seamless ambient audio while sharing particle resources across changing weather states.
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Compare running models or tasks on a device, nearby edge infrastructure, or in the cloud. Break down interaction delays, data transfers, energy use, costs, and failure recovery to assess deployment choices for multimodal and real-time agents.
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Audit Claude Code and Codex hooks, actions triggered by agent events. Check commands, trigger conditions, blocking behavior, and timeouts to identify why hooks fail to run, fail to block actions, or delay the agent.
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Make specific C# behavior testable by adding a minimal way to replace time, randomness, or other external dependencies. Preserve public APIs and production behavior, then run repeatable tests without real file access or waiting.
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Test how an app handles slow or failing dependencies by adding delays and connection errors to outgoing TCP connections in a mirrord session. Create reusable rules, manage them during development, and include them in CI tests.
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Scene and sequence craft (场景/段落/细节/道具/悬念/情趣) — merged from Robert McKee's scene design and five-step scene analysis (value turn, beats, text/subtext, turning points, pacing, image systems), McKee's Dialogue scene types (balanced, comic, asymmetric, indirect, reflexive, minimal), Syd Field's sequence and scene elements, Neill Hicks (less is more, enter late leave early, energy), Richard Walter (action over talk, small gestures, avoid phones/cars/restaurants, list twelve alternative locations), Wendy Henson (action paragraphs, transitions, story-doing), Julian Hoxter (scene beats, objectives and tactics), Mei Feng's value test, and Lu Jun's chapters 意趣要足 (suspense, delay, wit), 细节要妙, 道具要精, 场景要当. Use when writing or fixing a single scene, choosing a location, building a sequence, planting a prop or detail, designing suspense and delay, cutting a scene that "nothing happens" in, or turning talk into action.
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Build dependency network and critical path from a matter plan. Produce an interactive Gantt, flag near-critical tasks, and run what-if cascade scenarios when delays occur — showing programme impact and drafting communications. Produces filtered workstream or jurisdiction views for local counsel. Trigger on: 'build a timeline', 'Gantt chart', 'critical path', 'what if X is delayed', 'what moves if', 'schedule impact', 'how does this affect the programme', 'when do we finish', 'can we still close on time', 'if we miss this deadline', 'run a what-if', 'visualise the plan', 'Germany timeline', 'what does the Employment workstream look like', 'timeline for local counsel', 'just show me the [workstream] tasks'.
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Weekly clinical-trial status diff — the 11-category change report over the stored weekly snapshots (spec 055 FR-B03). Surfaces exactly what changed on the trial registry for your coverage: New / Suspended / Withdrawn / Terminated / Recruiting / Recruitment-Complete / Completed / Ahead / Delayed / Upsized / Downsized, every row carrying previous and new values, with risk flags on Terminated and Downsized and re-timing flags on Ahead and Delayed. The stored-previous-value discipline makes each week's diff reproducible.
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Track flight status, delays, gate changes, and estimated arrival times for any commercial flight. Covers real-time flight tracking, schedule lookup, and delay monitoring for travel coordination and logistics planning.
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BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Use when "bullmq, bull queue, redis queue, background job, job queue, delayed job, repeatable job, worker process, job scheduling, async processing, bullmq, bull, redis, queue, background-jobs, job-processing, async, workers, scheduling, delayed-jobs" mentioned.
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Select a `delaySeconds` value when scheduling a loop wakeup via the `ScheduleWakeup` tool or the `/loop` slash command. Covers the three-tier cache-aware decision (cache-warm under 5 minutes, cache-miss 5 minutes to 1 hour, idle default 20 to 30 minutes), the 300-second anti-pattern, the [60, 3600] runtime clamp, the minute-boundary rounding quirk, and writing a telemetry-worthy `reason` field. Use when designing an autonomous loop, when a heartbeat cadence is being planned, when polling cadence is being tuned, or when post-hoc review of loop costs reveals interval mis-sizing.
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Work with the @upstash/qstash TypeScript/JavaScript SDK, an HTTP-based message queue, task scheduler, and background job system for serverless and edge runtimes (Next.js, Vercel, Cloudflare Workers, Deno, Node.js). Use when publishing messages to HTTP endpoints or URL groups, running background jobs without a long-running worker process, scheduling with cron expressions, delaying messages, building FIFO queues with parallelism and flow control, configuring retries and callbacks, handling a dead letter queue (DLQ), deduplicating messages, fanning out to multiple endpoints, verifying QStash webhook signatures (Next.js App Router, Pages Router, and Edge Runtime), running a local QStash dev server, or migrating regions. Also use when the user asks for a serverless cron job, async task queue, job scheduler, delayed delivery, webhook delivery with retries, or event-driven messaging between services.
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レッドストーンリピーターの向き(facing)、遅延(delay)、connects配置の仕様。repeater使用時に必ず読む。
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BullMQ (Node.js ジョブキュー、Redis / PostgreSQL バックエンド対応) リファレンス。 Queue, Worker, Job, FlowProducer, QueueEvents、PostgreSQL backend、 createPostgresBackend, withBackend、レート制限、cron、delayed / repeatable / priority ジョブ、 再試行、デッドレター、フロー、バッチ処理、メトリクス。Python / Elixir / PHP / Rust 対応。
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通过日志和复现操作排查OpenClaw的模型通信、工具执行及响应流问题，并检查已保存的对话和附件，为修复原因与再次验证收集证据。
读取 superpowers 会话记录，调查重复工作、偏离计划、耗时及令牌消耗。以文件路径和行号为依据整理经过，生成有证据支持的报告。
提供检查和改善React与Next.js加载速度及交互响应的指引，按优先级梳理数据获取等待、首次加载的代码量和重复渲染等问题。
用于检查Next.js 16及更高版本中开发启动和代码更新缓慢的问题，确认Turbopack与webpack的选择，并核对缓存及proxy.ts命名。
使用 Kotlin Coroutines 和 Flow 实现 Android 与 Kotlin Multiplatform 的异步任务和数据更新，涵盖并行加载、界面状态、取消、错误处理及测试。
通过测量定位页面显示、交互、API和数据库的性能瓶颈，对比修改前后的数据验证效果。撤销没有明确收益的修改，并添加性能检查与监控，防止再次变慢。
Analyze slow development workflows and agent coordination using execution times, resource use, dependencies, and communication patterns. Identify bottlenecks, prioritize causes, and build an improvement plan covering parallel work, caching, or resource allocation.
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Coordinate multiple AI agents through a lead agent that breaks goals into tasks, delegates to research, coding, analysis, and testing workers, monitors progress, resolves conflicts, and brings their work together into a final deliverable.
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Coordinate tasks across multiple AI agents by tracking workloads and capacity. Redistribute queued work to available agents, adjust priorities and deadlines, and monitor resource use to identify uneven loads and scheduling bottlenecks.
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Track objectives across multiple conversations by defining milestones, saving progress and findings, and planning each session. Review completion criteria and flag schedule risks, scope changes, or dependencies that may require a different approach.
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