Skill UI

Builds production-ready rollout plans covering checks, procedures, verification signals, rollback, and communications for infrastructure or application changes across environments.

Expert skill for generating production-quality Python scripts specifically for the FreeCAD CAD application. This includes automating complex 3D modeling tasks, creating parametric FeaturePython objects, performing advanced geometric operations (Boolean, Fillet, Loft), building custom GUI tools using PySide, and handling mesh/FEM analyses via the FreeCAD Python API. Ideal for CAD automation and engineering visualization.

Transforms unstructured and messy bug reports—including pasted error logs, voice dictations, and screenshots—into clean, actionable, and highly structured GitHub Issues. It automatically populates key sections like reproduction steps, expected/actual behavior, impact severity, and environment details, ensuring developers receive comprehensive and ready-to-use information.

Creates a production-ready Model Context Protocol server in Go by scaffolding modules, tools, resources, configuration, README guidance, and basic tests built around the official GitHub SDK for rapid setup.

A comprehensive skill guide for building production-grade, scroll-driven motion animations. It covers advanced techniques like parallax effects, sticky sections, horizontal scrolling, and staggered reveals using both the GSAP ScrollTrigger API and Framer Motion hooks. Ideal for implementing complex, performant animations in vanilla JavaScript, React, and Next.js.

Framework for launching new products from idea to first loyal customers, covering direct outreach, launch diagnostics, and short experiment cycles to break through early adoption hurdles.

A comprehensive guide for optimizing business growth motions. This framework helps founders determine the optimal Go-To-Market (GTM) strategy—whether Product-Led Growth (PLG) or sales-led—and build systematic, measurable growth engines. It covers advanced topics like mapping the growth equation, analyzing channel economics (CAC/LTV), and optimizing time to first value to ensure scalable adoption.

Automates daily planning by integrating with your calendar (e.g., Outlook via WorkIQ). It pulls your schedule, cross-references open tasks, analyzes workspace context, and classifies every meeting (Customer, Deep Work, Learning, etc.). The tool detects scheduling conflicts, identifies time zone issues, and generates a structured HTML prep file with proactive recommendations to maximize focus and productivity for the next day.

This skill automatically generates an interactive SQL Notebook designed to validate changes in dbt models or snapshots. It processes changes identified from a GitHub PR or local repository, generating comparison queries that compare 'before' (production) and 'after' (development) data states. It is essential for embedding data observability and quality checks into CI/CD pipelines.

A structured methodology for coordinating multiple, simultaneous investigation threads to determine the root cause of complex system failures, performance regressions, or integration bugs. This skill decomposes a large problem into independent tracks (e.g., database, application code, infrastructure), assigns ownership, and manages structured sync points (Continue/Pivot/Converge) to converge on a solution faster than serial debugging. Essential for high-stakes production incident response.

Phoenix Evals lets teams build evaluators for AI/LLM apps by wiring deterministic code with LLM nuance, running Python or TypeScript workloads, validating against humans, and iterating through error analysis, RAG, and production workflows.

Guides hooking Phoenix AI services with OpenInference tracing, covering setup, spans, instrumentation, and production deployment for LLM workflows using Python or TypeScript.