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ADHD 每日规划助手

为 ADHD 大脑设计的友好型规划系统,提供基于时间盲症现实的合理安排、执行功能支持和日常结构。

ADHD 每日规划助手 是什么?

这是一个专为神经多样性思维设计的规划系统,核心哲学是“与大脑合作,而非对抗”。它深刻理解 ADHD 不是性格缺陷,而是大脑处理多巴胺、时间感知和注意力调节方式的差异。该技能的核心价值在于打破“完美计划→叛逆放弃→内疚回避”的经典 ADHD 规划悖论,通过提供灵活结构、内置缓冲和多个决策分支(如处理危机模式、规划型过度专注),适应每日波动的执行功能。它支持从即时(2小时内)到长期(按月分割)多时间维度的规划,并提供了诸如“3倍时间估计法”、“视觉化时间工具”、“3件事清单”和“关机仪式”等实用策略。该技能兼容数字工具(如 Focusmate、Forest、Todoist)和物理工具(如 Time Timer、白板),并明确指出了一系列无效的反模式(如愧疚式激励、依赖意志力)。最终目标是帮助用户建立基于系统的、自我慈悲的、去完美主义的可持续日常节奏。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/curiositech/windags-skills/tree/HEAD/skills/adhd-daily-planner

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

文档

ADHD 每日规划助手 是做什么的?

一个专为 ADHD 大脑设计并服务于 ADHD 大脑的规划系统。本技能深知传统生产力建议对神经多样性思维无效,并提供与您大脑合作(而非对抗)的策略。

核心理念

ADHD 并非性格缺陷或意志力缺乏,而是大脑处理多巴胺、时间感知和注意力调节方式的差异。本技能:

  • 永不使用“羞耻感”或“再努力一点”的言论
  • 围绕 ADHD 的现实(而非神经典型人群的理想)构建系统
  • 承认今天有效的方法明天可能失效
  • 崇尚“完成 > 完美”
  • 将执行功能视为会耗尽的电池

ADHD 规划悖论

传统规划:
1. 制定详细计划
2. 按计划执行
3. 达成目标

ADHD 现实:
1. 制定详细计划(过度专注,感觉很好)
2. 到第二天觉得计划具有约束性
3. 对自己的计划产生逆反心理
4. 因放弃计划而感到内疚
5. 完全回避思考目标

本技能通过创建带有内置转向点的灵活结构来打破这个悖论。

决策树

我们规划哪个时间范围?
├── 立即(接下来 2 小时)→ 紧急大脑倾倒 + 单个下一步行动
├── 今天 → 带过渡缓冲的时间块结构
├── 本周 → 主题日 + 优先级筛选
├── 本月 → 目标设定(带防不堪重负的安全机制)
└── 更长 → 分解为月度区块,不要过度规划

此人是否处于危机模式?
├── 是 → 跳过规划,确定一个最小可行行动
└── 否 → 按相应规划层级进行

此人是否正在因为规划本身而过度专注?
├── 是 → 打断!规划 ≠ 执行。设定计时器,开始一个任务。
└── 否 → 继续提供规划支持

时间盲症策略

ADHD 时间估算公式

拿你的初次估算,然后:

“5 分钟” → 实际上 15-20 分钟
“30 分钟” → 实际上 1-1.5 小时
“几个小时” → 实际上半天
“这个周末” → 如果没有陪练(body doubling)实际上完不成

3 倍原则:无论你认为需要多长时间,都乘以 3。你不是估算能力差——你的大脑处理时间的方式不同。

让时间变得可见

  • 每个房间都放模拟时钟(数字时钟在跳变,模拟时钟显示时间的流逝)
  • 时间计时器(Time Timer) 或类似的视觉倒计时器
  • 日历拦截 - 如果没在日历上分配具体时间,它就不存在
  • “当...时,就...”句式 - “当我喝完咖啡时,就开始写报告”

过渡时间

ADHD 大脑难以进行任务切换。构建内置缓冲:

神经典型人群日程表:
9:00 - 会议
10:00 - 深度工作
12:00 - 午餐

ADHD 友好日程表:
9:00 - 会议
10:00 - [过渡缓冲:上厕所、喝水、发呆看墙]
10:15 - 深度工作
11:45 - [过渡缓冲:保存工作、准备切换环境]
12:00 - 午餐

每日规划模板

晨间大脑倾倒(最多 5 分钟 - 设定计时器!)

现在脑子里所有事情:
_________________________________
_________________________________
_________________________________
_________________________________

现在只圈出今天真正重要的 1-3 件事。

“三件事”系统

你的每日计划恰好是三件事:

  1. 最重要的事 - 如果别的都不做,就做这个
  2. 锦上添花 - 很重要,但今天不是必须完成
  3. 如有余力 - 只有当你状态超好时才做

就这样。不是 10 件事。不是 5 件事。三件。

针对 ADHD 的时间拦截

┌─────────────────────────────────────────────────────────────┐
│ 上午(很多人此时的脑力高峰 - 请保护好!)                    │
├─────────────────────────────────────────────────────────────┤
│ 9:00  - 最重要的事(最难/最重要的)                        │
│         [使用陪练、网站拦截器、计时器]                      │
│ 10:30 - 过渡缓冲(10-15 分钟)                             │
│ 10:45 - 锦上添花 或 会议                                   │
├─────────────────────────────────────────────────────────────┤
│ 中午(精力低谷期 - 别与之对抗)                            │
├─────────────────────────────────────────────────────────────┤
│ 12:00 - 午餐(真正的休息,不是边工作边吃饭)                │
│ 12:45 - 低耗能任务:邮件、行政事务、整理归纳                │
├─────────────────────────────────────────────────────────────┤
│ 下午(部分人会有第二波精力)                                │
├─────────────────────────────────────────────────────────────┤
│ 2:00  - 协作工作、会议、多样性任务                          │
│ 4:00  - 收尾、明日准备(5 分钟)、关机仪式                  │
└─────────────────────────────────────────────────────────────┘

执行功能支持

任务启动(最难的部分)

2 分钟启动法:不要承诺完成,只承诺开始 2 分钟。

  • “我就打开文档看看”
  • “我就写第一句话”
  • “我就看一眼那个东西”

陪练(Body Doubling):和别人一起工作(面对面或线上)。可以使用 Focusmate 应用、Discord 学习群组,或者只是和朋友视频通话。

诱惑捆绑:将不喜欢的任务和喜欢的活动配对。

  • 无聊的数据录入 + 最喜欢的播客
  • 锻炼 + 有声书
  • 打扫卫生 + 舞蹈音乐

工作记忆支持

ADHD 工作记忆有限。把所有东西外部化:

  • 随处都有记录工具 - 笔记应用、实体便签本、语音备忘录
  • 书面说明 - 即使是简单事项也要写下来
  • 检查清单 - 用于重复性任务(即使已经做过 100 次)
  • 视觉提醒 - 放在你需要的实际物理空间里

决策疲劳

ADHD 大脑每天做出数千个微决策,这会耗干你的精力电池:

预先决定:

  • 每天吃同样的早餐(或在 2-3 种选项中轮换)
  • 前一天晚上准备好明天的衣服
  • 为不同类型的任务设置默认日程
  • 制定“如果 X,就 Y”规则,无需动脑思考

“垃圾堆”策略

你肯定有“垃圾堆”——那些你不知道该怎么处理的一堆东西,承认吧。

每周垃圾堆清理方案(最多 15 分钟):

  1. 设定 15 分钟计时器
  2. 从垃圾堆里拿起一件东西
  3. 决定:扔掉 / 捐赠 / 归位 / 需要行动
  4. 如果需要行动:写下这个行动,把物品放在“需要行动”区
  5. 重复直到计时器结束
  6. 停止。你做得够多了。

反模式(无效的方法)

❌ 详细的长远规划 - 你会放弃它并感到糟糕 ❌ 基于内疚的激励 - 导致回避,而非行动 ❌ “我会记住的” - 你不会的。写下来。 ❌ 用意志力替代系统 - 系统每次都胜过意志力 ❌ 与神经典型人群的生产力做比较 - 不同的大脑,不同的衡量标准 ❌ “追赶进度”马拉松 - 你会精疲力竭。要稳扎稳打。 ❌ 在开始前追求完美计划 - 规划瘫痪。从混乱中开始。

好日子 vs 坏日子

ADHD 有很大的波动性。为两种情况做计划:

好日子(有注意力过度专注可用):

  • 趁着精力充足,先攻克最重要的事
  • 不要因为状态好就过度承诺
  • 攒下一些好成绩以应对坏日子

坏日子(执行功能耗尽):

  • 允许自己做最小可行的事情
  • 专注于维持基本活动(吃饭、卫生、休息)
  • 只做低风险任务
  • 不做任何重大决定

关键:不要评判坏日子。它们是模式的一部分。

真正有用的工具

数字工具

  • Focusmate - 与陌生人一起陪练
  • Forest - 锁住手机并加入游戏化元素
  • Todoist/Things - 简单的任务管理器(不要复杂的系统)
  • Goblin Tools - 能将任务分解成更小步骤的 AI

物理工具

  • Time Timer - 可视化倒计时器
  • 白板 - 在显眼位置展示每日视图
  • 实体收件箱托盘 - 唯一存放纸质文件的地方
  • 指尖陀螺工具 - 对许多 ADHD 大脑有帮助,有助于集中注意力

环境设置

  • 背景噪音 - Lo-fi 背景音乐、棕色噪音、咖啡馆氛围音
  • 站立式办公桌或可移动的工作空间 - 身体需要活动
  • 尽量减少视觉杂乱 - 减少分心
  • 良好的照明 - 对注意力的影响超乎你的想象

关机仪式(5 分钟)

每日工作结束时的仪式,让自己真正停止工作:

  1. 写下明天的“最重要的事”(30 秒)
  2. 检查明天的日历,看看有没有意外安排(30 秒)
  3. 从小任务收件箱/桌面清理一件小事(2 分钟)
  4. 大声说出来:“今天的工作结束了。”(真的要说出来。)
  5. 物理过渡(合上笔记本电脑、离开房间、换衣服)

与其他技能的集成

  • adhd-design-expert:用于设计 ADHD 友好的数字体验
  • diagramming-expert:用于可视化任务映射
  • jungian-psychologist:用于深入探究关于生产力羞耻感的深层模式

请记住

你没有坏掉。你的大脑工作方式不同。目标不是变得像神经典型人群一样——而是建立一种与你的大脑合作的生活方式。

进步优于完美。同情优于批评。系统优于意志力。

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

curiositech/windags-skills

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

curiositech/windags-skills

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

curiositech/windags-skills

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

curiositech/windags-skills

Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).

curiositech/windags-skills

Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.

curiositech/windags-skills

>- Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

curiositech/windags-skills

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech/windags-skills

Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).

curiositech/windags-skills

Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

curiositech/windags-skills

AI-powered calendar management and agent-based scheduling coordination. Covers calendar APIs (Google Calendar, CalDAV/iCal), AI scheduling assistants (Reclaim, Clockwise, Motion, Cal.com), building custom calendar agents with MCP, multi-calendar merging, timezone management, focus block protection, meeting fatigue detection, and agent-to-agent meeting negotiation protocols. Activate on: "calendar agent", "AI scheduling", "calendar coordination", "meeting scheduling", "calendar API", "focus time protection", "calendar optimization", "Google Calendar MCP", "Reclaim", "Clockwise", "Motion", "Cal.com", "smart scheduling", "calendar-aware agent", "timezone scheduling", "agent negotiation meetings". NOT for: manual calendar UI component design (use form-validation-architect), project management scheduling or Gantt charts (use project-management-guru-adhd), general time-tracking or pomodoro apps (use adhd-daily-planner for time-awareness), building the agent itself from scratch (use agent-creator).

curiositech/windags-skills

Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory systems, and tool use. Also covers the SOCIAL dimension: how to sell agent infrastructure internally, change management, measuring ROI, building trust in autonomous systems, and scaling adoption across teams. Activate on: "agent infrastructure", "agent framework comparison", "which agent framework", "sell AI tools internally", "agent adoption", "agent observability", "agent evaluation", "MCP architecture", "agentic mesh", "enterprise AI agents", "AI change management", "agent ROI". NOT for: building specific agents (use ai-engineer), designing agent behavior patterns (use agentic-patterns), prompt tuning (use prompt-engineer).

curiositech/windags-skills

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

curiositech/windags-skills

Automated discovery and matching of agent skills for dynamic task routing and capability assessment

curiositech/windags-skills

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

curiositech/windags-skills

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

curiositech/windags-skills

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

curiositech/windags-skills

>- Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.

curiositech/windags-skills

Foundational concurrent computation model where actors communicate exclusively through asynchronous message passing

curiositech/windags-skills

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.

curiositech/windags-skills

license: Apache-2.0 NOT for unrelated tasks outside this domain.

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