Skill UI

This meta-skill acts as a comprehensive Learning Science Coach, teaching users *how* to learn effectively rather than just *what* to study. It draws upon advanced cognitive science principles—including Spaced Repetition, Active Recall, Metacognition, and Bloom's Taxonomy—to diagnose learning gaps, optimize study methods, and build structured, long-term memory retention systems. Ideal for students, professionals, and lifelong learners seeking systematic methods to accelerate knowledge acquisition.

Automates the daily triage of GitHub Pull Requests, CI/CD failures, and new issues. It uses the GitHub API to pull relevant information, summarizes the findings into actionable buckets (e.g., needing review, awaiting action, CI failed), and persists follow-up notes to long-term memory for context retention. Ideal for keeping track of complex development workflows.

This meta-skill automates the compilation of comprehensive daily briefings. It integrates local weather data and gathers the latest news on a user-defined topic. The gathered information is then synthesized and summarized into a single, structured digest, which is finally saved into long-term memory for easy recall and review.