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Found 12 Skills
Expert 10x engineer skill for interpreting and implementing code from shorthand, quasi-code, and natural language descriptions. Use when collaborators provide incomplete code snippets, pseudo-code, or descriptions with potential typos or incorrect terminology. Excels at translating non-technical or semi-technical descriptions into production-quality code.
Create polished frontend interfaces from designs/screenshots with high design quality. Use for web components, pages, replicating UI designs, extracting design guidelines, avoiding AI slop aesthetics.
Design user-centric interfaces for web applications. Creates wireframes, visual designs, and interactive prototypes with usability focus.
Vertex Ai Pipeline Creator - Auto-activating skill for GCP Skills. Triggers on: vertex ai pipeline creator, vertex ai pipeline creator Part of the GCP Skills skill category.
Confusion Matrix Generator - Auto-activating skill for ML Training. Triggers on: confusion matrix generator, confusion matrix generator Part of the ML Training skill category.
Cross Validation Setup - Auto-activating skill for ML Training. Triggers on: cross validation setup, cross validation setup Part of the ML Training skill category.
Chart Js Config Creator - Auto-activating skill for Visual Content. Triggers on: chart js config creator, chart js config creator Part of the Visual Content skill category.
Production-ready code implementation following approved designs. Writes clean, tested, documented code. Zero linting violations. All code includes tests.
Generates distinctive, production-grade frontend interfaces and artifacts (React, Vue, HTML/CSS). Prioritizes bold aesthetics, unique typography, and motion to avoid generic designs. Use when building websites, landing pages, dashboards, posters, or when the user requests to style, beautify, or create visually striking UI.
Feature Engineering Helper - Auto-activating skill for ML Training. Triggers on: feature engineering helper, feature engineering helper Part of the ML Training skill category.
Use when implementing production-quality bioinformatics software with proper error handling, logging, testing, and documentation, following software engineering best practices.
Comprehensive Python engineering guidelines for writing production-quality Python code. This skill should be used when writing Python code, performing Python code reviews, working with Python tools (uv, ruff, mypy, pytest), or answering questions about Python best practices and patterns. Applies to CLI tools, AI agents (langgraph), and general Python development.