Skill UI

Master database design principles including schema planning, indexing strategies, and ORM selection. Learn to choose the right database (PostgreSQL, SQLite, etc.) based on context rather than defaults. Covers migrations, performance tuning, and avoiding common anti-patterns like N+1 queries.

Master schema and data migrations across Sequelize, TypeORM, and Prisma, including rollback strategies, zero-downtime deployments, and safe data transformations.

Provides programmatic access to Data Commons for querying public demographic, economic, health, and environmental statistics; exploring entity relationships; and resolving geographic identifiers.

A CLI tool for AI agents to search Datadog logs, query metrics, trace requests, manage dashboards, and triage production incidents efficiently.

This skill prepares, formats, and validates datasets for supervised fine-tuning and preference training. It covers format selection for SFT, DPO, and RLVR, chat template application, sequence packing optimization, and synthetic data generation rules. It ensures data quality before training launch by creating dataset cards and validating loss masking.

This skill generates a structured demo outline by analyzing your session's change log and git history. It reads critical log changes and git commits to produce presentation-ready talking points for end-of-day demos, standups, or delivery deadlines. The output includes shipped features, architecture decisions, next steps, and session metrics, saving as a markdown file for easy review.

This skill provides expert assistance for debugging software errors, test failures, and unexpected behaviors. It helps users analyze error messages, identify root causes, and implement effective fixes. Ideal for developers facing complex issues, it offers guidance on best practices, verification steps, and prevention strategies to ensure code stability and reliability.

Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches. This skill helps track down elusive bugs, investigate performance issues, and analyze crash dumps. It is suitable for debugging production incidents and distributed systems. Follow instructions to reproduce issues, form hypotheses, and verify fixes using binary search and targeted instrumentation.

Conducts structured multi-source research using NotebookLM MCP and delivers formatted briefs, with optional slides, podcasts, videos, infographics, reports, and mind maps.

Denario is a multiagent AI system designed to automate scientific research workflows from data analysis to publication. It supports generating research ideas, developing methodologies, executing experiments, and writing LaTeX papers. Built on AG2 and LangGraph, it orchestrates specialized agents for end-to-end research pipelines with customizable orchestration and LLM integration.

Automates the review and management of GitHub Dependabot pull requests. It classifies updates by risk level, checks CI status, auto-merges safe patches, and reports major changes requiring user approval. Ensures secure dependency updates without manual overhead.

This skill offers smart dependency management for any programming language. It auto-detects project types and applies safe updates automatically, handling patch and minor versions while prompting for major changes. It also diagnoses broken dependencies, fixes issues, and performs security audits to ensure vulnerability-free projects across Node.js, Python, Go, and more.