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Agent Skill · 待分类

learning-gap-analyzer(学习差距分析器)

learning-gap-analyzer 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。

learning-gap-analyzer 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 2,134。

总安装 1,848周安装 77GitHub Stars 48下载 616核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:learning-gap-analyzer(学习差距分析器)
来源仓库:https://github.com/travisjneuman/.claude
仓库路径:skills/learning-gap-analyzer
安装命令:
npx skills add https://github.com/travisjneuman/.claude --skill learning-gap-analyzer
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/travisjneuman/.claude --skill learning-gap-analyzer

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

用于识别和记录任务执行中的能力差距与改进点,辅助 Agent 自我优化。适合在研究、开发或复杂推理任务中增强模型的学习闭环。通过指定 GitHub 仓库路径安装,兼容主流 Agent 宿主环境。需注意其依赖外部知识库或日志输入,应确保数据来源可靠。当前分类为‘待分类’,建议进一步核验实际功能边界。

来源仓库内路径:skills/learning-gap-analyzer

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/travisjneuman/.claude --skill learning-gap-ana…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

learning-gap-analyzer 怎么安装?

在终端执行 npx skills add https://github.com/travisjneuman/.claude --skill learning-gap-analyzer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

learning-gap-analyzer 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

learning-gap-analyzer 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

learning-gap-analyzer 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

learning-gap-analyzer 用的人多吗?

公开数据是累计安装 1,848 次,近一周安装 77 次,下载 616 次,GitHub 48 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

learning-gap-analyzer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
learning-gap-analyzer

学习差距分析器 · 本页

1,84848权限未标注未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
learning-gap-analyzer
description
Map understanding, identify knowledge gaps, and build targeted learning plans with spaced repetition. Use when assessing knowledge levels, designing study plans, or optimizing learning paths.

Learning Gap Analyzer

Frameworks for diagnosing knowledge gaps, creating targeted remediation plans, and designing effective learning strategies using evidence-based techniques.

Knowledge Mapping

Self-Assessment Matrix

KNOWLEDGE MAP: [Subject/Domain]

Topic                    | Awareness | Understanding | Application | Mastery
                         | (1)       | (2)           | (3)         | (4)
-------------------------|-----------|---------------|-------------|--------
[Subtopic 1]             | [ ]       | [ ]           | [ ]         | [ ]
[Subtopic 2]             | [ ]       | [ ]           | [ ]         | [ ]
[Subtopic 3]             | [ ]       | [ ]           | [ ]         | [ ]
[Subtopic 4]             | [ ]       | [ ]           | [ ]         | [ ]
[Subtopic 5]             | [ ]       | [ ]           | [ ]         | [ ]

LEVELS:
  1 - Awareness:     I've heard of it, can recognize the term
  2 - Understanding: I can explain the concept in my own words
  3 - Application:   I can use it to solve problems independently
  4 - Mastery:       I can teach it, adapt it, and combine with other concepts

SCORING GUIDE:
  Mark your honest current level for each topic.
  Gaps = Topics where your level is below the target level.
  Priority = High target importance + large gap size.

Concept Dependency Map

PREREQUISITE CHAIN: [Domain]

Build knowledge in this order (each level requires prior levels):

Level 1 (Foundations):
  □ [Concept A] → Required for everything else
  □ [Concept B] → Required for everything else

Level 2 (Core):
  □ [Concept C] ← Requires: A
  □ [Concept D] ← Requires: A, B
  □ [Concept E] ← Requires: B

Level 3 (Intermediate):
  □ [Concept F] ← Requires: C, D
  □ [Concept G] ← Requires: D, E

Level 4 (Advanced):
  □ [Concept H] ← Requires: F, G
  □ [Concept I] ← Requires: G

DIAGNOSTIC APPROACH:
  1. Test understanding at Level 3+
  2. If gaps found, trace back to prerequisites
  3. Start remediation at the earliest gap in the chain
  4. Don't skip ahead — build foundations first

Gap Identification Methods

Diagnostic Assessment Design

DIAGNOSTIC ASSESSMENT TEMPLATE:

PURPOSE: Identify specific knowledge gaps before starting learning plan

STRUCTURE:
  Section 1: Foundational concepts (5 questions)
    - If <60% correct: Start at Level 1
    - Tests: Definitions, basic recall, simple recognition

  Section 2: Core understanding (5 questions)
    - If <60% correct: Start at Level 2
    - Tests: Explanation, comparison, basic application

  Section 3: Application (5 questions)
    - If <60% correct: Start at Level 3
    - Tests: Problem-solving, scenario analysis, transfer

  Section 4: Advanced (5 questions)
    - If <60% correct: Start at Level 4
    - Tests: Synthesis, evaluation, novel situations

QUESTION TYPES:
  - Explain in your own words: [concept]
  - Given [scenario], what would happen if [variable changed]?
  - Compare and contrast: [concept A] vs [concept B]
  - Solve: [problem requiring application]
  - What's wrong with this: [flawed example]

The Feynman Technique for Gap Detection

FEYNMAN TECHNIQUE:

STEP 1: Choose a concept you think you understand
STEP 2: Explain it as if teaching a 12-year-old
  - Use simple language
  - No jargon
  - Include examples

STEP 3: Identify where you get stuck
  - Where do you reach for jargon?
  - Where does your explanation get vague?
  - Where can't you provide a clear example?

  → THESE ARE YOUR GAPS

STEP 4: Go back to source material
  - Study specifically the areas where you struggled
  - Don't re-read everything — target the gaps

STEP 5: Simplify and retry
  - Re-explain using analogies
  - If you can explain it simply, you understand it
  - If you can't, repeat steps 3-4

TRACKING FORMAT:
  Concept: _______________
  Explanation attempt: [Your explanation]
  Stuck points: [Where it broke down]
  Gap identified: [What you need to learn]
  Source to study: [Specific chapter, video, article]
  Re-explanation: [After studying]
  Confidence: [ ] Low  [ ] Medium  [ ] High

Learning Plan Design

Targeted Remediation Plan

LEARNING PLAN: [Goal]

CURRENT STATE: [Assessment results summary]
TARGET STATE: [Desired competency level]
TIMELINE: [Weeks/months]
WEEKLY TIME BUDGET: [Hours]

PHASE 1: FOUNDATIONS (Weeks 1-N)
  Gap: [Specific knowledge gap]
  Resources:
    - [Resource 1] — Estimated time: [X hours]
    - [Resource 2] — Estimated time: [X hours]
  Practice:
    - [Exercise or application activity]
  Milestone: [How you'll know you've closed this gap]

PHASE 2: CORE SKILLS (Weeks N-M)
  Gap: [Specific knowledge gap]
  Resources:
    - [Resource 1] — Estimated time: [X hours]
    - [Resource 2] — Estimated time: [X hours]
  Practice:
    - [Exercise or application activity]
  Milestone: [How you'll know you've closed this gap]

PHASE 3: APPLICATION (Weeks M-P)
  Gap: [Specific knowledge gap]
  Resources:
    - [Resource 1] — Estimated time: [X hours]
  Practice:
    - [Project or real-world application]
  Milestone: [Demonstrable competency]

WEEKLY SCHEDULE:
  Day       | Activity                    | Duration
  Monday    | New material (reading/video) | 1 hour
  Tuesday   | Practice problems            | 45 min
  Wednesday | Spaced review (flashcards)   | 30 min
  Thursday  | New material                 | 1 hour
  Friday    | Application project          | 1 hour
  Weekend   | Weekly review + assessment   | 30 min

Spaced Repetition System

Optimal Review Schedule

SPACED REPETITION INTERVALS:

First learning:     Day 0
First review:       Day 1   (24 hours later)
Second review:      Day 3   (2 days after first review)
Third review:       Day 7   (4 days after second review)
Fourth review:      Day 14  (7 days after third review)
Fifth review:       Day 30  (16 days after fourth review)
Sixth review:       Day 60  (30 days after fifth review)
Maintenance:        Every 90 days thereafter

ADJUSTMENT RULES:
  If you recalled easily:     Move to next interval
  If you recalled with effort: Repeat at current interval
  If you failed to recall:    Reset to Day 1 interval

CARD DESIGN PRINCIPLES:
  - One concept per card (atomic)
  - Question on front, answer on back
  - Include context/example on back
  - Use images where possible
  - Avoid yes/no questions — require recall

Active Recall Techniques

TechniqueHow It WorksBest ForEffort Level
FlashcardsQuestion → attempt recall → checkFacts, definitions, formulasLow-Medium
Practice problemsSolve without looking at solutionApplication, proceduresMedium
Free recallClose book, write everything you knowComprehensive reviewMedium-High
InterleavingMix topics in practice (don't block)Discrimination, transferMedium
Elaborative interrogationAsk "why?" and "how?" for each factDeep understandingMedium
Self-testingCreate and take your own quizzesAll types of knowledgeMedium
Teaching othersExplain concept to someone elseDeep mastery verificationHigh

Progress Tracking

Weekly Progress Template

WEEKLY LEARNING REVIEW

Week: ___ of ___
Date: __________

HOURS INVESTED:
  Planned: ___ hours
  Actual: ___ hours

TOPICS COVERED:
  □ [Topic 1] — Confidence: [ ] Low [ ] Med [ ] High
  □ [Topic 2] — Confidence: [ ] Low [ ] Med [ ] High
  □ [Topic 3] — Confidence: [ ] Low [ ] Med [ ] High

ASSESSMENT RESULTS:
  Quiz/test score: ___/___
  Practice problem accuracy: ___%
  Concepts recalled via free recall: ___/___

WHAT WENT WELL:
  - [Insight or breakthrough]

WHAT WAS DIFFICULT:
  - [Struggle point]
  - Gap identified: [Specific concept]

ADJUSTMENTS FOR NEXT WEEK:
  - [Change to plan based on this week's learning]

SPACED REVIEW DUE:
  □ [Topic from Week N-1] — Review due: [Date]
  □ [Topic from Week N-3] — Review due: [Date]

Mastery Criteria

LevelEvidence RequiredAssessment Method
AwarenessCan define term and recognize it in contextMultiple choice, matching
UnderstandingCan explain concept in own words with examplesShort answer, Feynman test
ApplicationCan solve novel problems using the conceptPractice problems, case studies
MasteryCan teach others and combine with other conceptsTeaching exercise, project

Learning Science Principles

Evidence-Based Strategies

HIGH-IMPACT LEARNING STRATEGIES:

1. RETRIEVAL PRACTICE (Effect: +0.7 SD)
   Don't just re-read — test yourself
   Implementation: Flashcards, practice quizzes, free recall

2. SPACED PRACTICE (Effect: +0.6 SD)
   Distribute learning over time, don't cram
   Implementation: Review schedule, interleaved practice

3. ELABORATION (Effect: +0.5 SD)
   Connect new info to existing knowledge
   Implementation: "How does this relate to...?" questions

4. INTERLEAVING (Effect: +0.4 SD)
   Mix different topics/problem types in practice
   Implementation: Shuffle practice problems from multiple chapters

5. CONCRETE EXAMPLES (Effect: +0.4 SD)
   Connect abstract concepts to specific instances
   Implementation: Generate 2-3 real examples for each concept

6. DUAL CODING (Effect: +0.3 SD)
   Combine verbal and visual representations
   Implementation: Draw diagrams, create concept maps

LOW-IMPACT STRATEGIES (AVOID):
  ✗ Re-reading (passive, creates illusion of learning)
  ✗ Highlighting (passive, doesn't require processing)
  ✗ Summarizing without retrieval (only slightly better)
  ✗ Massed practice / cramming (poor long-term retention)

See Also

平台分布

Codex

34.83%
按下载量换算215

Claude

32%
按下载量换算197

Cursor

17.65%
按下载量换算109

Gemini CLI

9.03%
按下载量换算56

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。目前只有一个公开来源,建议同时核对源仓库。

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