效率与工作流
1,947 个结果
- Implementation NotesShilpa MitraKeep a running implementation-notes.md during a build, logging every deviation from the plan and every discovered edge case. Use whenever implementing against an agreed plan or spec, especially in long autonomous sessions.
- Interview MeShilpa MitraInterview the user one question at a time to resolve remaining ambiguity before implementation. Use when planning or brainstorming is done but unknowns remain, or when the user asks to be interviewed about a task or spec.
- Backgroundtasksprisma-labs-devAPI reference: BackgroundTasks. Query for BGTaskScheduler, app refresh, background processing.
- Swift Concurrencyprisma-labs-devAPI reference: Swift Concurrency. async/await, Task, TaskGroup, actors, AsyncSequence, AsyncStream, continuations.
- Improve GameplayableintelligenceAnalyze a game, find what needs work, and implement the highest-impact improvements. Use when the user says "improve my game", "make my game better", "fix my game", "what's wrong with my game", or "polish my game". Run repeatedly — each pass finds the next most impactful thing to fix.
- Threejs GameplayableintelligenceBuild 3D browser games with Three.js using event-driven modular architecture. Use when creating a new 3D game, adding 3D game features, setting up Three.js scenes, or working on any Three.js game project.
- Use TemplateplayableintelligenceClone a game template from the gallery as a starting point. Use when the user says "use a template", "start from a template", "clone flappy-bird", "use the platformer template", or wants to quickly bootstrap a game from an existing example. Do NOT use for creating a game from scratch (use viral-game for one-shot builds or make-game for milestone-driven projects).
- Bpmn WorkflowWellApp-aiGenerate and maintain BPMN 2.0 diagrams linked to Gherkin scenarios
- Decision Capturewellapp-aiCapture patine (decision wisdom) at Gates when KO or challenge occurs
- Notion SyncWellApp-aiStandardize Notion task updates across all modes
- PhasingWellApp-aiGroup slices into risk-optimized phases with timeline generation
- Problem Framingwellapp-aiFrame problems using JTBD Job Stories, HMW questions, and persona validation
- Delegation CoreatholaDelegate tasks to external LLM services (Gemini, Qwen) with quota, logging, and error handling.
- Project ExecutionatholaSystematic task execution with checkpoint validation, progress tracking, and quality gates
- Qwen DelegationatholaDelegates tasks to Qwen CLI via delegation-core for Alibaba's models. Use when delegation-core selects Qwen or large-context batch processing is needed.
- Review ChamberatholaCapture and retrieve PR review knowledge in project memory palaces
- Smart SourcingatholaTriggers: source, cite, reference, factual claim, verify, attribution Intelligent sourcing that requires citations only for high-value factual claims, balancing accuracy with token efficiency.
- War RoomatholaMulti-LLM deliberation framework for strategic decisions through pressure-based expert consultation
- War Room CheckpointatholaInline reversibility assessment for embedded War Room escalation from other commands
- Genshijin Compressinterfacex-co-jp自然言語メモリファイル（CLAUDE.md, todos, 設定）を原始人形式に圧縮し入力トークン削減。 技術内容・コード・URL・構造は完全保持。圧縮版が原ファイルを上書き、人間可読版は FILE.original.md として保存。「/genshijin-compress <filepath>」「メモリファイル圧縮」で起動。
- Stage DecideOrkasThe decision layer for real footage — understand → select → produce an EVIDENCE-bearing rough cut. Trigger when the EDIT task is "find / select / reduce / clean" (remove dead air, drop fillers, pick highlights, cut 1 hour to 3 minutes), NOT executing a known timecode edit (that is stage-edit).
- Ansible Generatorakin-ozerGenerate, create, or scaffold Ansible playbooks, roles, tasks, handlers, inventory, vars.
- Prd Creatorpageai-proGuides creation of comprehensive Product Requirement Documents (PRDs) for software projects through structured questioning and validation, then generates implementation task lists in JSON format. Use when users want to document a software idea, create specifications for development, plan a new application feature/bug, or break down requirements into actionable tasks.
- Beyond The WrapperShane O'ConnorPosition an AI product when everyone claims AI and skeptics call it "just a wrapper." Find the real wedge (data, workflow, trust, domain), make reliability the differentiator, answer "won't the big labs just build this," and stop leading with "AI-powered." Use when your AI or dev tool blends into a sea of similar demos, buyers doubt the accuracy, or you can't say why you win when the model is a…