Skill UI

Provides comprehensive methodologies for planning, executing, and validating complex, zero-downtime system migrations. This skill covers critical patterns across data (Schema Evolution, CDC), services (Strangler Fig, Canary), and infrastructure (On-Prem to Cloud). It ensures minimal business impact, data consistency, and reliable rollback strategies.

Guides teams through designing and building scalable modular monolith backends in NestJS, leveraging DDD, Clean Architecture, CQRS, and NX monorepos while planning evolution paths to microservices.

Guides building productivity-first tools by scratching your own itch—rapid prototyping, CLI/local-first apps, scripting to product evolution, and dogfooding for reliable personal workflows.

Coordinates disciplined red-green-refactor TDD cycles, multi-agent test workflows, and AI-assisted test evolution to ensure comprehensive coverage, fast feedback loops, and aligned quality practices across complex software projects.

Diagnoses new or existing AI workspaces in Spanish, determines whether the initiative is a Pure Engine or Evolution effort, and produces implementation roadmaps plus expert squad recommendations before development begins.

Query InterPro for protein family, domain, and GO annotations via a REST API with Python helpers, enabling function prediction, domain architecture mapping, and evolutionary classification insights for proteomic workflows.

A comprehensive toolkit for reconstructing and analyzing the evolutionary history of biological sequences (genes, proteins, genomes). The standard workflow includes multiple sequence alignment using MAFFT, robust maximum likelihood tree inference with IQ-TREE 2 and FastTree, and advanced visualization/manipulation using ETE3. This skill is essential for studies in viral phylodynamics, microbial genomics, protein family evolution, and molecular clock dating.

Provides a workflow so makepad-skills can continuously evolve during development, using Claude Code hook triggers, routing, and classification guidance for self-correction, validation, and version adaptation.

Autonomous frontend builders follow a Stitch-driven baton loop to read prompts, generate and integrate pages, refresh documentation, and hand off the next task for continuous site evolution.

PUA Pro extensions add self-evolution tracking, session snapshots, compaction recovery, KPI reports, and leaderboard flows to the /pua skill, so you can monitor actions, recover interrupted sessions, and surface executive-ready reports and ranks.

Idea Darwin Engine treats ideas as competing organisms on an evolution island, scoring, crossing, mutating, and refining them through rounds so you can prioritize and develop the strongest concepts instead of letting them gather dust.

Transforms repo structure and commit history into two actionable markdowns—an architecture summary and a narrative story—so analysts can trace system intent, data flow, and team evolution.