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memory-retrieval-learning记忆检索学习

Agent Skill

用于搭建或维护带检索增强的 RAG 工作流,适合让 Agent 处理知识库问答、向量检索、来源引用和事实核查。它可以辅助整理数据接入、Embedding、向量库、召回参数和回答生成流程。使用时需要确认数据来源、更新频率、召回阈值和引用展示方式,避免把未命中的资料或过期内容包装成确定事实。

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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

3

许可证

MIT

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:memory-retrieval-learning(记忆检索学习)
来源仓库:https://github.com/lyndonkl/claude
仓库路径:skills/memory-retrieval-learning
安装命令:
npx skills add https://github.com/lyndonkl/claude --skill memory-retrieval-learning
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/lyndonkl/claude --skill memory-retrieval-learning

简介

memory-retrieval-learning 用于搭建或维护带检索增强的 RAG 工作流,适合让 Agent 处理知识库问答、向量检索、来源引用和事实核查。

  • 它可以辅助整理数据接入、Embedding、向量库、召回参数和回答生成流程。
  • 使用时需要确认数据来源、更新频率、召回阈值和引用展示方式,避免把未命中的资料或过期内容包装成确定事实。
  • 该技能适用于运维和基础设施类别,主要用于 RAG 系统的构建和维护。
  • 使用时需特别注意数据新鲜度和引用准确性要求。

SKILL.md

Memory, Retrieval & Learning

Table of Contents

Workflow

Copy this checklist and track your progress:

Learning Plan Progress:
- [ ] Step 1: Define learning goals and timeline
- [ ] Step 2: Break down material and create schedule
- [ ] Step 3: Design retrieval practice methods
- [ ] Step 4: Execute daily learning sessions
- [ ] Step 5: Track progress and adjust

Step 1: Define learning goals and timeline

Clarify what needs to be learned, by when, and how much time is available daily. Identify success criteria (pass exam, demonstrate skill, etc). Use resources/template.md to structure your plan.

Step 2: Break down material and create schedule

Chunk material into learnable units. Calculate spaced repetition schedule based on timeline. Plan initial learning + review cycles. For complex schedules or long timelines (6+ months), see resources/methodology.md for advanced scheduling techniques.

Step 3: Design retrieval practice methods

Create active recall mechanisms: flashcards, practice problems, mock tests, self-quizzing. Avoid passive techniques (highlighting, re-reading). See Common Patterns for domain-specific approaches.

Step 4: Execute daily learning sessions

Follow the schedule: new material in morning (peak alertness), reviews in afternoon/evening. Use retrieval practice consistently. Log what's difficult for extra review. For advanced techniques like interleaving or desirable difficulties, see resources/methodology.md.

Step 5: Track progress and adjust

Measure retention with self-tests. Adjust review frequency based on performance (struggle more = review sooner). Update schedule as needed. Validate using resources/evaluators/rubric_memory_retrieval_learning.json.

Common Patterns

Exam Preparation (3-6 months):

  • Phase 1 (60% time): Initial learning + comprehension
  • Phase 2 (30% time): Spaced review + retrieval practice
  • Phase 3 (10% time): Mock exams + weak area focus
  • Use: Professional certifications, academic finals, bar exam

Language Learning (ongoing):

  • Daily: 10 new vocabulary words + review old words due today
  • Weekly: Grammar lesson + interleaved practice with prior lessons
  • Monthly: Conversation practice integrating all learned material
  • Use: Spanish, Mandarin, French, any language mastery

Technology/Job Skill (3-12 weeks):

  • Week 1-2: Fundamentals + hands-on practice
  • Week 3-6: Advanced concepts + spaced review of fundamentals
  • Week 7+: Real projects + systematic review of challenging concepts
  • Use: Learning Python, React, AWS, data analysis

Medical/Technical Procedures:

  • Day 1: Learn procedure steps + immediate practice
  • Day 2: Retrieval practice without notes
  • Day 4: Practice + add edge cases
  • Day 8: Full simulation
  • Day 15, 30: Refresh to maintain
  • Use: Clinical skills, safety protocols, lab techniques

Bulk Memorization (facts, dates, lists):

  • Create spaced repetition flashcard deck
  • Review cards daily (Anki algorithm or similar)
  • Retire cards after 5+ successful recalls
  • Add mnemonic devices for difficult items
  • Use: Anatomy, geography, historical dates, pharmacology

Guardrails

Avoid Common Mistakes:

  • ❌ Passive re-reading or highlighting → Use active retrieval instead
  • ❌ Cramming (massed practice) → Use spaced repetition
  • ❌ Blocking by topic (all topic A, then all topic B) → Use interleaving
  • ❌ Over-confidence after initial learning → Test yourself repeatedly
  • ❌ No tracking → Measure retention to adjust schedule

Realistic Expectations:

  • Forgetting is normal and necessary for strong memory consolidation
  • Initial struggles with retrieval are productive ("desirable difficulties")
  • Expect 20-40% forgetting between reviews (that's the sweet spot)
  • Spaced repetition feels less productive than massing, but works better
  • Plan for 2-3x more time than you think you need

Time Management:

  • Daily consistency > marathon sessions
  • Minimum 15-20 min/day more effective than 2 hours weekly
  • Peak retention: 25 min study → 5 min break → repeat
  • Review sessions should be shorter than initial learning sessions
  • Build buffer for life interruptions (illness, travel, deadlines)

When to Seek Help:

  • Material isn't making sense after 3+ attempts → Get instructor/expert help
  • Retention remains below 60% after 3 review cycles → Reassess study method
  • Burnout or motivation collapse → Reduce daily load, add intrinsic rewards
  • Test anxiety interfering → Address anxiety separately from memory techniques

Quick Reference

Resources:

  • resources/template.md - Learning plan template with scheduling
  • resources/methodology.md - Advanced techniques for complex learning goals
  • resources/evaluators/rubric_memory_retrieval_learning.json - Quality criteria

Output:

  • File: memory-retrieval-learning.md in current directory
  • Contains: Learning goals, material breakdown, review schedule, retrieval methods, tracking system

Success Criteria:

  • Spaced repetition schedule covers entire timeline
  • Retrieval practice methods defined for all material types
  • Daily time commitment is realistic and sustainable
  • Tracking mechanism in place to measure retention
  • Schedule includes buffer for setbacks
  • Validated against quality rubric (score ≥ 3.5)

Evidence-Based Techniques:

  1. Spacing Effect: Reviews at 1, 3, 7, 14, 30 days
  2. Testing Effect: Self-test > re-study for long-term retention
  3. Interleaving: ABCABC > AAABBBCCC for transfer and discrimination
  4. Elaboration: Connect to prior knowledge, explain to others
  5. Dual Coding: Combine verbal + visual representations

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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。

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