Skill UI

Audit local AI coding-agent sessions with agenttrace to inspect token and cost spikes, tool failures, retry loops, latency, anomalies, health scores, diffs, and CI gates. Use for debugging slow, expensive, or unreliable runs and comparing attempts.

Autonomous Principal Design Technologist. Transforms generic, AI-generated UI into bespoke, human-grade, production-ready software. Cures vibe-coded frontend slop using curated token archetypes and 7-axis quality gating.

This skill reviews test suite quality using established testing literature to identify brittleness, mock abuse, unclear fixtures, weak assertions, slow feedback, and maintenance risks. It diagnoses structural problems in existing test suites based on classic engineering books like xUnit Test Patterns and The Art of Unit Testing, ensuring robust and maintainable testing practices.

This toolset provides comprehensive automation for Cal.com scheduling operations through Rube MCP. It enables users to manage the entire booking lifecycle, including listing and creating bookings, checking real-time availability and finding open slots, configuring and managing webhooks for event triggers, and managing organizational teams. It is essential for integrating scheduling workflows into larger automation processes.

This skill monitors the performance of Claude Code and the local operating system. It diagnoses slowdowns, measures CPU/RAM/Disk usage, checks API latency, and generates detailed system health reports. It helps determine if the bottleneck is local hardware or the remote API connection, providing actionable corrective suggestions to improve the development workflow.

A structured playbook for improving the time and space complexity (Big-O) of existing, slow code. This skill guides developers through systematic refactoring, focusing on identifying bottlenecks like nested loops or N+1 queries. It emphasizes applying transformations one at a time, maintaining test coverage, and measuring performance gains to ensure correct and efficient code.

This skill enables authorized management of Google Calendar events through existing integrations. Users can inspect schedules, draft changes, find free slots, and execute operations like creation or cancellation. It requires pre-configured authentication and adheres to strict permission scopes to ensure security and accuracy in calendar operations.

Train or fine-tune language and vision models using TRL or Unsloth on Hugging Face Jobs infrastructure. Supports SFT, DPO, GRPO methods and GGUF conversion for local deployment. Requires Pro account and HF_TOKEN for Hub saving. Optimized for cloud GPU training without local setup.

Diagnoses data pipeline performance issues such as slow jobs, expensive queries, and latency trends using Monte Carlo's cross-platform observability. Works across Airflow, dbt, Databricks, and warehouse query engines to find bottlenecks, detect regressions, and identify root causes.

This skill enables building production-ready monitoring, logging, and tracing systems for enterprise applications. It covers implementing observability strategies, managing SLIs and SLOs, and handling incident response workflows. Expertise includes distributed tracing, log management, alerting, and reliability engineering practices using tools like Prometheus, Grafana, and OpenTelemetry to ensure system stability and performance.

Set up comprehensive monitoring and observability: metrics, distributed tracing, log aggregation, dashboards, alerts, and SLOs for application and infrastructure health.

This skill helps you design comprehensive SLO frameworks and establish meaningful SLIs for service reliability. It focuses on creating monitoring systems that balance reliability with feature velocity using error budget-based engineering practices. Ideal for defining reliability targets, building dashboards, and aligning technical metrics with business priorities.