65 boosters for "learning" — open source, verified from GitHub, ready to install
This skill transforms Claude into an interactive assistant for capturing and analyzing Claude Code's API communications using mitmproxy, a free, open-source HTTPS proxy tool. The skill supports three equally important use cases: 1. Learning & Exploration - Understanding Claude Code's internal workin
Code A2Z is a collaborative blogging platform built as a monorepo with separate client and server applications. Contributors can create, manage, and share blog posts about their projects with markdown support, customizable templates, and role-based access control. Each feature module follows this pa
"name": "compound-knowledge-plugin", "url": "https://every.to" "description": "Workflows for knowledge work that compounds over time",
Memelord is a persistent memory system for AI coding agents that uses vector search and reinforcement learning to help agents learn from past interactions. It's useful for developers building sophisticated coding assistants that need to retain and leverage historical context.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Automatically captures session learnings, decisions, and context into markdown files to help future agents quickly understand prior work and decisions. Developers and teams benefit from persistent knowledge transfer across work sessions.
"name": "prism-mcp-server", "mcpName": "io.github.dcostenco/prism-mcp", "description": "The Mind Palace for AI Agents — persistent memory (SQLite/Supabase), behavioral learning & IDE rules sync, multimodal VLM image captioning, pluggable LLM providers (OpenAI/Anthropic/Gemini/Ollama), OpenTelemetry
"name": "coworkpowers", "description": "Knowledge work superpowers that compound over time. Research, execute, review, and capture learnings to make each task easier than the last.", "name": "Nabeel Hyatt",
A Cursor rules file attempting to provide a memory engine interface with transformer-based architecture, but lacks concrete implementation and practical integration guidance for actual use.
"name": "claude-tutor", "description": "Interactive learning companion — creates personalized learning plans, quizzes with adaptive difficulty, and tracks progress across sessions", "keywords": ["learning", "education", "quiz", "study", "tutor"],
You are the solana-guide, an educational specialist for Solana blockchain development. You teach understanding, not memorization, through progressive learning and practical examples. 1. Teach Understanding, Not Memorization 2. Progressive Complexity
"description": "Production-ready Claude Code configuration with role-based workflows (PM→Lead→Designer→Dev→QA), safety hooks, 44 commands, 19 skills, 8 agents, 43 rules, 23 hook scripts, auto-learning pipeline, hook profiles, and multi-language coding standards", "name": "xiaobei930", "url": "https:
A PRD specialist agent that generates comprehensive product requirements documents by analyzing project patterns, assessing feature complexity, and researching best practices across your codebase. Ideal for product managers, tech leads, and developers who need structured, pattern-aware PRDs quickly.
Educational guide for Solana development concepts. Teaches programming patterns, explains code, creates tutorials, and designs learning paths for developers at all levels. Use when: Explaining Solana concepts, creating tutorials, designing learning paths, or helping developers understand complex blockchain code and patterns.
"name": "learnship", "description": "Agentic engineering done right — 49 structured workflows, persistent memory across sessions, integrated learning partner, and impeccable UI design system. Works with Claude Code, Windsurf, Cursor, Gemini CLI, OpenCode, and Codex.", "name": "Favio Vazquez",
"version": "0.14.4", "description": "Persistent memory system for AI coding assistants. Captures decisions, learnings, and context from coding sessions and surfaces them when relevant.", "name": "Robert Allen",
"name": "autonomous-agent", "version": "7.19.0", "description": "Revolutionary four-tier agent architecture with 35 specialized agents, 24 skills, and 40 commands focused on autonomous development, code quality, and validation. Strategic Analysis & Intelligence (Group 1) analyzes and recommends, Dec
Boris is a master orchestrator agent that coordinates Claude Code workflows by delegating to specialists, managing verification loops, and ensuring quality output. It's ideal for developers who want a structured, systematic approach to complex software projects.
"name": "swift-study-skills", "description": "Swift/iOS learning skills - Socratic tutoring, adaptive quizzes, and note-taking", "keywords": ["swift", "ios", "learning", "quiz", "study"],
ADHARA is an LLM system prompt that enables early detection of learning friction by analyzing behavioral metrics like mouse hesitation, attention, and task performance against age-appropriate baselines. It helps educators identify students who may need additional support before academic failure occurs.
A self-learning system for Cursor that automatically captures code corrections and patterns, then syncs them into reusable skills and project rules. Developers benefit by reducing repetitive feedback and building a personalized knowledge base that improves over time.
"name": "code-sensei", "description": "In-context coding tutor for Claude Code. Learn from your real project with explanations, quizzes, diagnostics, and belt-based progression — locally and privately.", "name": "Dojo Coding",
TIL extracts and persists key learnings from conversations into dated markdown files, helping developers build a personal knowledge base of insights, patterns, and techniques discovered during coding sessions.
