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Use at the start of a working day (or when the user asks "what should I focus on today / give me my brief / daily standup"). Produces a one-screen daily brief — today's top 3, open loops that need a nudge, what's slipping, and a suggested focus order. Trigger on "/daily", "daily brief", "what should I focus on today", "morning brief", "standup".
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Structured procedure for expanding attention from focused single-domain mode to panoramic multi-domain awareness. The cognitive transition from "focused attention on one problem" to "unfocused attention encompassing all relevant domains simultaneously." Like Baars' Global Workspace — consciousness as broadcast rather than spotlight. Use after meditation has cleared noise, when a problem spans multiple domains that need to be perceived together, when single-domain analysis keeps missing cross-domain connections, or as the opening move before integrate-gestalt synthesizes what is perceived.
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Designs and analyzes in vivo CRISPR screens in animal tumor models, organoids, and immune-cell adoptive transfers. Covers bottleneck math (250x cells/sgRNA requires ~25M cells implanted; impossible for most syngeneic models, forcing focused libraries), focused library design (Manguso 2017 Nature 547:413 immune screen; Chen 2015 tumor screens), CRISPR-StAR intrinsic-control screening (Uijttewaal 2025 Nat Biotechnol 43:1848), clonal-dynamics-limited detection, tumor-explant DNA recovery, syngeneic vs xenograft vs PDX considerations, and the relationship to downstream MAGeCK / drugZ analysis. Use when designing in vivo CRISPR screens for tumor / immune / metastasis biology, choosing focused vs genome-wide for animal models, addressing bottleneck-induced clonal collapse, picking the syngeneic / xenograft / PDX model, integrating in vivo with in vitro results, or applying CRISPR-StAR for animal experiments.
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Solution-Focused Brief Therapy according to de Shazer and Berg: Miracle question, exception exploration, scaling, resource activation.
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システム療法および解決志向アプローチの手法：ミラクル・クエスチョン、スケーリング、例外の探索、サーキュラー・クエスチョン、仮定の質問、悪化の質問、コーピング・クエスチョン。solution-focused-therapy および systemic-questioning から統合。
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Systemic and solution-focused methods: miracle question, scaling, exception exploration, circular questions, hypothetical questions, worsening questions, coping questions. Merged from solution-focused-therapy and systemic-questioning.
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Automated WCAG 2.1 AA accessibility testing with axe-core and Lighthouse CI. Auto-detects frontend framework (React, Next.js, Vue, Angular, Svelte, Astro, Flutter, React Native), discovers all routes and interactive components, installs Playwright + axe-core for page-level scanning and jest-axe/vitest-axe for component-level testing. Generates tests for color contrast (4.5:1), alt text, form labels, ARIA attributes, heading order, landmark regions, focus visibility, keyboard navigation (tab order, focus traps, modal focus management, skip-to-content), screen reader compatibility (aria-live regions, error announcements, toast notifications), and Flutter Semantics validation (48dp touch targets, semanticLabel). Reports violations by severity (critical, serious, moderate, minor) with WCAG criterion references. Use when adding a11y testing, auditing accessibility compliance, fixing contrast issues, or validating keyboard and screen reader support.
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Designs and analyzes in vivo CRISPR screens in animal tumor models, organoids, and immune-cell adoptive transfers. Covers bottleneck math (250x cells/sgRNA requires ~25M cells implanted; impossible for most syngeneic models, forcing focused libraries), focused library design (Manguso 2017 Nature 547:413 immune screen; Chen 2015 tumor screens), CRISPR-StAR intrinsic-control screening (Uijttewaal 2025 Nat Biotechnol 43:1848), clonal-dynamics-limited detection, tumor-explant DNA recovery, syngeneic vs xenograft vs PDX considerations, and the relationship to downstream MAGeCK / drugZ analysis. Use when designing in vivo CRISPR screens for tumor / immune / metastasis biology, choosing focused vs genome-wide for animal models, addressing bottleneck-induced clonal collapse, picking the syngeneic / xenograft / PDX model, integrating in vivo with in vitro results, or applying CRISPR-StAR for animal experiments.
中文简介正在准备中。当前显示原文说明。
Designs and analyzes in vivo CRISPR screens in animal tumor models, organoids, and immune-cell adoptive transfers. Covers bottleneck math (250x cells/sgRNA requires ~25M cells implanted; impossible for most syngeneic models, forcing focused libraries), focused library design (Manguso 2017 Nature 547:413 immune screen; Chen 2015 tumor screens), CRISPR-StAR intrinsic-control screening (Uijttewaal 2025 Nat Biotechnol 43:1848), clonal-dynamics-limited detection, tumor-explant DNA recovery, syngeneic vs xenograft vs PDX considerations, and the relationship to downstream MAGeCK / drugZ analysis. Use when designing in vivo CRISPR screens for tumor / immune / metastasis biology, choosing focused vs genome-wide for animal models, addressing bottleneck-induced clonal collapse, picking the syngeneic / xenograft / PDX model, integrating in vivo with in vitro results, or applying CRISPR-StAR for animal experiments.
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将进行中的对话整理为交接摘要，移除敏感信息，明确后续重点、参考资料和建议技能，再启动新的后台智能体，从当前工作目录继续处理任务。
在仓库中执行命令，检查状态，调查CI或构建失败，并验证必要的修复。依据执行结果报告本地修改、验证、提交和推送的状态。
检查界面的间距、文字、圆角、阴影、动效与点击区域，改善外观和操作体验。针对按钮、卡片和表单等细节提出具体建议，并展示修改前后的差异。
为React和Next.js界面的实现与审查提供示例，涵盖组件组合、状态管理、数据获取、显示性能、表单验证，以及键盘操作和焦点管理。
结合应用中的实际显示位置和项目术语更新JSON翻译文件，检查缺失翻译及原文改动，保留现有结构、动态值占位符和复数语法，并汇总修改与验证结果供审查。
依据WCAG 2.2设计和检查Web、iOS及Android界面，核查读屏标签、键盘操作、配色对比度和操作目标尺寸，使界面支持辅助技术。
为代码编写、审查和重构提供指引，通过明确前提、采用最小实现、限定修改范围及测试验证，减少AI常见的实现错误，检查改动是否满足请求。
以足以判断结果的必要检查，验证现有工作是否满足验收条件。复用仍符合当前状态的结果，区分通过、失败及无法执行的原因，并在证据齐备后结束。
将混杂的代码改动按目的拆成提交，协助管理分支和准备拉取请求，并根据兼容性变化整理版本号、标签和变更日志，同时检查提交内容。
以单个HTML文件制作交易分析仪表板，集中呈现市场信息与风险面板，支持明暗主题、Live/Demo模式、图表详情和命令面板操作。
为科研资助评审整理研究假设、方法、阶段目标和风险，制作象牙白底、黑色文字的HTML幻灯片，以文字为主，适合呈现研究计划和详细报告。
从claude-mem工作记录中按主题、时间或文件筛选资料，建立专用知识库，并通过对话查询过去的决策、修复过程与工作方式。
帮助将claude-flow v3中职责过多的大型类按功能拆分，整理依赖关系、领域边界和事件协作，支持迁移到便于扩展功能与独立测试业务逻辑的结构。
Find code that lacks test coverage and get suggestions for tests to add next. Focus on a chosen path, inspect gaps against a coverage threshold, or use a background worker for recurring checks after feature changes.
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Restructure claude-flow v3 into focused modules using Domain-Driven Design, which groups code by responsibility. Define module boundaries, event communication, and plugin interfaces to support a modular architecture with independently testable business logic.
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