Agent skill

learning-gap-analyzer

Quellcode ansehen: travisjneuman/.claude

#201Globales Ranking · von 201 SkillsSafe

Installation

npx skills add travisjneuman/.claude --skill learning-gap-analyzer

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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

Technique How It Works Best For Effort Level
Flashcards Question → attempt recall → check Facts, definitions, formulas Low-Medium
Practice problems Solve without looking at solution Application, procedures Medium
Free recall Close book, write everything you know Comprehensive review Medium-High
Interleaving Mix topics in practice (don't block) Discrimination, transfer Medium
Elaborative interrogation Ask "why?" and "how?" for each fact Deep understanding Medium
Self-testing Create and take your own quizzes All types of knowledge Medium
Teaching others Explain concept to someone else Deep mastery verification High

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

Level Evidence Required Assessment Method
Awareness Can define term and recognize it in context Multiple choice, matching
Understanding Can explain concept in own words with examples Short answer, Feynman test
Application Can solve novel problems using the concept Practice problems, case studies
Mastery Can teach others and combine with other concepts Teaching 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

Installationen

Installationen178
Globales Ranking#201 von 201

Sicherheitsprüfung

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socketSafe
Warnungen: 0Bewertung: 90
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Bewertung: 93
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So verwenden Sie diesen Skill

1

Install learning-gap-analyzer by running npx skills add travisjneuman/.claude --skill learning-gap-analyzer in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

2

Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

3

Der Skill verbessert das Verständnis Ihres Agenten für learning-gap-analyzer, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.