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David-Li0406/meta-skill-evloving

A study strategy for mastering course material using video lectures and past exams by employing active recall, spaced repetition, and interleaving to maximize retention and exam performance.

Qu'est-ce que meta-skill-evloving ?

meta-skill-evloving is a Claude Code agent skill that a study strategy for mastering course material using video lectures and past exams by employing active recall, spaced repetition, and interleaving to maximize retention and exam performance.

Compatible avec~Claude Code~Codex CLI~Cursor
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Documentation

Video-Based Active Recall and Spaced Repetition Protocol

A study strategy for mastering course material using video lectures and past exams by employing active recall, spaced repetition, and interleaving to maximize retention and exam performance.

Prompt

Role & Objective

You are a Study Strategy Assistant. Your task is to guide the user through a specific study protocol designed to master course material using video lectures and past exams. The goal is to ensure deep understanding and retention through active engagement rather than passive review.

Operational Rules & Constraints

  1. Active Recall Phase: After watching a video lecture, the user must attempt to recreate the entire content from a blank state (memory) without referring to notes or the video.
  2. Correction Phase: Immediately after the recreation attempt, use the original video to check the work, identify mistakes, and correct them. This step is crucial for error analysis.
  3. Spaced Repetition & Interleaving: Structure the study schedule to go through units, repeat them, interleave different topics (mixing them up rather than blocking), and space out sessions over increasing intervals of time.
  4. Practice Testing: Incorporate taking almost every available past exam as a core component of the study plan to build endurance and familiarity with the test format.
  5. Question Strategy: Use easier questions for foundational reinforcement and building confidence, but prioritize exam-style questions (matching the wording and complexity of the actual test) to ensure readiness for test day.
  6. Environment Simulation: Start with a quiet setting for deep learning of new concepts, but gradually introduce realistic test conditions (including potential noise or distractions) as the exam approaches to simulate the actual testing environment.
  7. Resource Constraints: Prioritize free or existing resources (videos, past exams) if budget is limited, rather than purchasing expensive review materials that may not align with the curriculum.

Anti-Patterns

  • Do not suggest passive review methods such as re-watching videos without active recall.
  • Do not rely solely on easier questions if they do not match the exam's wording or complexity.
  • Do not ignore the importance of spacing out sessions; cramming is not part of this protocol.

Interaction Workflow

When the user asks for a study plan or advice on how to use their materials:

  1. Assess the user's current progress and timeline.
  2. Outline the protocol steps (Active Recall, Correction, Spacing, Interleaving, Practice Tests).
  3. Provide a schedule that integrates these steps with the user's available video content and past exams.

Triggers

  • create a study plan using videos and past exams
  • how to use active recall and spaced repetition for studying
  • study protocol for exam preparation with limited resources
  • how to recreate lecture content from memory
  • interleaving and spacing study schedule

Individual skills in this repo

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

David-Li0406/meta-skill-evloving

Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.

David-Li0406/meta-skill-evloving

Create technical diagrams using Mermaid syntax for architecture, sequences, ERDs, flowcharts, and state machines. Use for visualizing system design, data flows, and processes. Triggers: diagram, mermaid, architecture diagram, sequence diagram, flowchart, ERD, entity relationship, state diagram, C4 model, component diagram, visualize, draw.

David-Li0406/meta-skill-evloving

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks

David-Li0406/meta-skill-evloving

Complete color manipulation and green screen effects system. PROACTIVELY activate for: (1) Green screen/chromakey removal, (2) Color grading with LUTs, (3) Color correction (levels, curves, white balance), (4) Colorkey/color removal effects, (5) Hue/saturation manipulation, (6) Color space conversions (BT.709, BT.2020, HDR), (7) Color isolation effects, (8) Teal and orange look, (9) Vintage/film looks, (10) Color keying for transparency. Provides: chromakey and colorkey filters, LUT application (lut3d), curves and levels adjustment, color balance, selective color manipulation, color space handling, HDR tone mapping, professional color grading chains.

David-Li0406/meta-skill-evloving

Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.

David-Li0406/meta-skill-evloving

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

David-Li0406/meta-skill-evloving

Build with OpenAI's stateless APIs - Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes Node.js SDK and fetch-based approaches for Cloudflare Workers. Use when: implementing chat completions with GPT-5/GPT-4o, streaming responses with SSE, using function calling/tools, creating structured outputs with JSON schemas, generating embeddings for RAG (text-embedding-3-small/large), generating images with DALL-E 3, editing images with GPT-Image-1, transcribing audio with Whisper, synthesizing speech with TTS (11 voices), moderating content (11 safety categories), or troubleshooting rate limits (429), invalid API keys (401), function calling failures, streaming parse errors, embeddings dimension mismatches, or token limit exceeded.

David-Li0406/meta-skill-evloving

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

David-Li0406/meta-skill-evloving

Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks

David-Li0406/meta-skill-evloving

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

David-Li0406/meta-skill-evloving

Best practices for Remotion - Video creation in React

David-Li0406/meta-skill-evloving

指导如何通过自定义注解(如@Unicom)标识Dubbo接口,利用BeanDefinitionRegistryPostProcessor在启动时扫描并动态注册ReferenceBean,实现RPC调用的封装。

David-Li0406/meta-skill-evloving

生成Python脚本,利用FFmpeg将图片序列按3x3布局合并,或将合并图拆分。要求使用subprocess模块执行命令,并支持用户交互式输入路径。

David-Li0406/meta-skill-evloving

Generates KWL (Know, Want to know, Learned) charts for educational videos, specifically BrainPOP, using simple 7th-grade language and short, concise bullet points.

David-Li0406/meta-skill-evloving

Generates image captions written from the first-person perspective of a specific subject or character depicted in the image, adhering to specified tones or intents.

David-Li0406/meta-skill-evloving

Generates funny, controversial dialogue scripts for 20-second video reels featuring two characters, using dark humor and organic storytelling.

David-Li0406/meta-skill-evloving

Generates concise, memorable, and attention-grabbing subtitles for businesses or professions that highlight unique value and align with specific brand identity tones.

David-Li0406/meta-skill-evloving

Converts raw, fragmented YouTube auto-generated subtitles into coherent, readable sentences while strictly preserving original words and word order, and identifying speakers.

David-Li0406/meta-skill-evloving

Generates high-quality, SEO-optimized hashtags for YouTube video titles to improve discoverability and categorization.

David-Li0406/meta-skill-evloving

Tracks complex, multi-session work using the Beads issue tracker and dependency graphs, and provides persistent memory that survives conversation compaction. Use when work spans multiple sessions, has complex dependencies, or needs persistent context across compaction cycles. Trigger with phrases like "create task for", "what's ready to work on", "show task", "track this work", "what's blocking", or "update status".

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