Learning Skill Leaderboard
Converts various document formats into structured agent skills by extracting frameworks, principles, and techniques for use with AI agents.
Generates interactive HTML courses from codebases with plain-English code explanations, animated visualizations, and quizzes for non-technical AI-assisted developers.
Deliberate learning exercises for AI-assisted coding after architectural changes, plus an orientation skill for new codebase onboarding.
Monitors task execution and user feedback to identify, capture, and document patterns for the creation of new reusable AI skills.
A set of 28 critical-thinking skills and mental models, including Bounded Rationality and Circle of Competence, for Agent Skills-compatible AI tools.
Converts documents and codebases into Obsidian StudyVaults with concept notes, practice questions, and interactive quizzes that track progress and drill weak areas.
Generates structured learning documents from any codebase, focusing on design decisions, concepts, and alternatives, with configurable depth.
Five skills for searching, comparing, discovering, and analyzing resources from the curated awesome-japanese-nlp-resources dataset, covering search, similar resources, unlisted discovery, trend reports, and issue reports.
A meta-skill that automatically captures multi-step operational workflows, debugging paths, and project facts into SKILL.md files for reuse across sessions, with deduplication and promotion rules.
A collection of evidence-informed skills for designing adaptive hints, feedback, assessments, worked examples, collaborative tasks, and cognitive tutoring systems.
A structured skill tree of AI tutors and coaches progressing from K-12 foundations through university, career, and personal development skills.
Implements knowledge graph construction—including ontology design and entity fusion—and multi-agent task orchestration using graph-based workflows.
An eleven-chapter reference skill for LangGraph 1.0 covering ReAct agents, StateGraph, middleware, human-in-the-loop, memory, supervisor patterns, RAG with vector/keyword/hybrid retrieval, and parallel execution.
A pipeline for converting long-form content into source-grounded skills featuring progressive concept teaching, terminal visuals, and graduation evaluations.
Adapts technical explanations, code snippets, and error messages for specific audience levels, from business managers to beginners.
A library of AI agent skills for automating product management tasks, data analysis authentication, and cloud infrastructure management.
A distilled guide to Ousterhout's software design philosophy with a red flags quick reference for identifying complexity in code reviews, API design, and module decomposition.
Provides workflows for quick summaries and deep analysis of research papers via PDF paths or arXiv URLs.
Seven-step MCII exercise that produces a shareable goal card from user-generated goals, obstacles, and if-then plans.
A Socratic method teaching skill that guides users to discover answers through targeted, escalating questions for any readable content.
Generates a personalized 6-month action plan for landing a $100K AI job, with a learning roadmap, skill audit, LinkedIn strategy, outreach templates, and reading list.
An exam preparation coach for the CCAR-F certification that generates study plans and practice tests based on official exam guide PDFs.
Creates fill-in study notes from textbooks, lectures, and papers using the Loom LaTeX class, with blanks, proof skeletons, and exercises for active recall.