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geist-learning-lab精神学习实验室

Agent Skill

geist-learning-lab 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,077

周安装

44

GitHub Stars

14

下载量

345
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:geist-learning-lab(精神学习实验室)
来源仓库:https://github.com/vercel-labs/skill-geist-learning-labs
仓库路径:skills/geist-learning-lab
安装命令:
npx skills add https://github.com/vercel-labs/skill-geist-learning-labs --skill geist-learning-lab
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/vercel-labs/skill-geist-learning-labs --skill geist-learning-lab

简介

用于记录任务执行中的错误、纠正和经验缺口。geist-learning-lab 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合让 Agent 持续沉淀问题、修正和最佳实践。
  • 可结合来源仓库和原始 README 进一步核验具体用法。
  • 安装方式:通过 npx skills add 命令从指定仓库添加技能。
  • 建议确认权限范围、维护状态,以及是否会触发联网或文件读写操作。

SKILL.md

Geist Learning Lab

Build interactive learning experiences that teach by making the learner *do something, get feedback, and iterate* — using Geist's dark-first, minimal, precise UI language.

Design Philosophy

  • Learning loops, not pages — Every screen completes: prompt → attempt → feedback → refinement → checkpoint
  • Cognitive load management — Progressive disclosure, chunking, one concept + one action at a time
  • Error-friendly design — Mistakes are expected; the UI normalizes them and turns them into learning moments
  • Interactive representations — Sliders, toggles, diagrams, live code — not just text
  • Geist precision — Dark backgrounds, tight tracking, semantic color, 4px grid, Swiss typography

Critical Rules

  1. Every lesson must include at least one attempt+feedback loop — No passive-only pages
  2. Every interactive control must have a visible effect — Within ~100ms or show loading state
  3. Progress/review must exist even in a prototype — Track steps completed, checkpoints passed
  4. Active attempt before explanation — Ask a question or show a task, then explain
  5. Immediate, specific feedback — "Correct" isn't enough; explain *why*
  6. Multiple representations — Always at least 2 of: text, code, visual, interactive, real data
  7. Color is learning signal — Green=correct, Red=incorrect, Amber=hint/warning, Blue=info/definition
  8. Progressive disclosure by default — Depth behind "Why?", "Edge Cases", "Formal Definition"
  9. URL state for exploration — Shareable slider/toggle configurations via search params
  10. Misconception-first design — Bake in common traps: "Most people get this wrong because..."

The Learning Loop (Central Doctrine)

Every lesson repeats this cycle:

StepWhat HappensComponent
OrientWhat you'll learn in 5-10 minHeading + learning objective
AttemptLearner predicts/answers/edits firstQuickCheck, CodePlayground, ParameterDock
FeedbackImmediate + specific responseFeedback surface (green/red panel)
ExplainShort explanation anchored to their attemptCallout, WorkedExample
ExtendVariation, edge case, or transfer taskBeforeAfterSplit, ConceptExplorer
CheckpointQuick recall questionQuickCheck with ConfidenceRating
Reflect"What changed in your understanding?"Optional text input or self-rating

"Aha Moment" Design Patterns

PatternHow It WorksWhen to Use
Prediction Gap"What do you think happens if...?" then revealBefore introducing a concept
Contrast PairTwo near-identical cases with different outcomesClarifying subtle distinctions
Slider to FailureLet learner push a parameter until it breaksUnderstanding boundaries/limits
Time TravelScrub algorithm step-by-step, watch invariantsAlgorithms, state machines
Misconception TrapTempting wrong option, then explain why wrongCommon errors in a domain

Quick Color Reference (Learning Semantics)

SignalColor TokenHexUsage
Correctgreen-700#46A758Success feedback, completed steps
Incorrectred-700#E5484DError feedback, failed checks
Hint/Cautionamber-700#FFB224Hints, warnings, "watch out"
Info/Definitionblue-700#0070F3Definitions, current step, links
Defaultgray-400#737373Everything else: borders, muted text
Progress donegreen-700 dot#46A758Completed step indicator
Progress currentblue-700 ring#0070F3Current step focus state
Progress pendinggray-400 dot#737373Upcoming steps

Component Library (23 Patterns)

Lesson Flow & Progress

<LessonShell /> <ProgressRail /> <StepFlow /> <CheckpointCard /> <ResumeBanner />

Explorable Explanations

<ParameterDock /> <LiveOutputPanel /> <ConceptExplorer /> <InteractiveDiagram /> <BeforeAfterSplit /> <TimelineExplorer /> <ConceptMap />

Code Learning

<CodePlayground /> <DiffEditor /> <TaskRunner /> <SnippetCopy />

Quizzes & Active Recall

<QuickCheck /> <ConfidenceRating /> <HintLadder /> <MistakeAnalyzer />

Reading Support

<GlossaryPopover /> <Callout /> <WorkedExample />

Typography in Learning Context

ElementWhat It MeansStyle
Big heading"What you're doing"`text-heading-{32\24}` semibold, negative tracking
Small label"Where you are"`text-label-{14\12}` gray-400
Mono"What the computer sees"text-copy-14-mono or text-label-14-mono
BodyReading contenttext-copy-14 or text-copy-16, max-w-2xl

Layout Patterns

ContextMax WidthStructure
Reading contentmax-w-2xl / max-w-4xlSingle column, comfortable line length
Interactive labmax-w-6xlTwo panels: explanation + playground
Full explorermax-w-7xlThree zones: nav + content + lab panel

App Router Structure

/                                    → Landing / course picker
/learn                               → Course catalog + resume
/learn/[courseSlug]                   → Course overview, modules, progress
/learn/[courseSlug]/[moduleSlug]      → Module overview
/learn/[courseSlug]/[moduleSlug]/[lessonSlug]  → Lesson shell

File Organization

content/courses/<courseSlug>/course.json       → Metadata, module order
content/courses/<courseSlug>/<module>/<lesson>.mdx  → Lesson content
components/learning/                           → Reusable learning components
lib/learning/progress.ts                       → Schema + storage adapters
lib/learning/grading.ts                        → Quiz validation, code tests
lib/learning/spaced.ts                         → Review scheduling

References

  • references/lesson-shell.md — LessonShell, ProgressRail, StepFlow, CheckpointCard, ResumeBanner TSX patterns
  • references/explorable-explanations.md — ParameterDock, LiveOutputPanel, ConceptExplorer, InteractiveDiagram, BeforeAfterSplit, TimelineExplorer, ConceptMap
  • references/code-learning.md — CodePlayground (read-only/guided/free), DiffEditor, TaskRunner, SnippetCopy
  • references/quiz-assessment.md — QuickCheck, ConfidenceRating, HintLadder, MistakeAnalyzer with feedback patterns
  • references/reading-support.md — GlossaryPopover, Callout variants, WorkedExample with stepwise reveal
  • references/pedagogical-framework.md — The Learning Loop doctrine, progressive disclosure rules, aha patterns, scaffolded complexity
  • references/architecture.md — Next.js App Router routing, MDX content system, state management, file organization
  • references/progress-state.md — Progress schema, localStorage adapter, spaced repetition, URL state for explorations
  • references/learning-animations.md — Step transitions, feedback reveals, diagram animations, reduced-motion compliance

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.58%
按下载量换算123

Claude

31.35%
按下载量换算108

Cursor

16.05%
按下载量换算55

Gemini CLI

8.29%
按下载量换算29

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/vercel-labs/skill-geist-learning-labs --skill geist-learning-lab 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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