Skill UI

This skill provides comprehensive guidance on leveraging d3.js (Data-Driven Documents) to create sophisticated, interactive, and publication-quality data visualizations. It covers core concepts like data binding, implementing various chart types (network graphs, geo-maps, etc.), handling complex transitions, and ensuring responsiveness across modern JavaScript frameworks (React, Vue, Vanilla JS). Learn the standard workflow for scale definition, axis creation, and drawing custom visual elements with fine-grained control.

Guided checklist for executing Clay integration deployments, covering pre-flight configuration, code quality, infrastructure, documentation, and controlled rollouts with monitoring and rollback steps for production launches.

Guides building systematic, high-quality 3D scenes, animations, and interactive experiences with Three.js by covering setup, geometry, materials, lighting, controls, and responsiveness for WebGL projects.

Defines Windsurf policy guardrails for team workflows, enforcing lint rules, workspace isolation, review gates, CI checks, extension trust, and pre-Cascade hygiene to keep AI-generated changes compliant and quality-controlled.

Defines a continuous autonomous agent loop pattern with quality gates, evaluations, and recovery actions, orchestrating CI/PR controls, RFC breakdown, and assessment cycles to keep release branches stable.

This tool meticulously measures whether AI coding agents adhere to predefined skills, rules, or architectural guidelines. It automatically generates expected behavioral sequences and runs scenarios with varying prompt strictness. It deeply analyzes tool call traces, classifies behaviors using LLMs, and generates detailed compliance reports, ensuring robust quality control and adherence to defined workflows.

This advanced skill automates the enforcement of Python code quality using Ruff. It implements a controlled, iterative workflow that supports safe and unsafe automatic autofixes, formats the code, and reviews diffs after each pass. The process recursively repeats until all findings are resolved or require explicit user decision, ensuring high code consistency and quality gates.