Skill UI

Expert skill in designing and implementing comprehensive observability stacks for enterprise microservices. Covers advanced monitoring (Prometheus, Grafana), distributed tracing (Jaeger, OpenTelemetry), centralized logging (ELK, Splunk), and defining SLIs/SLOs. Ideal for ensuring high availability, mastering incident response, and performing reliability engineering on large-scale, distributed applications.

This skill specializes in implementing Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to enforce reliability standards. It guides users in designing comprehensive SLO frameworks, calculating error budgets, and building robust monitoring systems. Use this when you need to establish data-driven reliability targets, balance feature velocity with technical health, and align service performance directly with core business objectives.

Flash Attention optimizer delivers 2-4x speedup and 10-20x memory savings for transformer attention, ideal when training or running long-context models that hit GPU memory or latency limits; supports PyTorch native scaled_dot_product_attention, the flash-attn library, H100 FP8 precision, and sliding-window attention.

Automates guidance for outlining presentation slides within visual content workflows, following industry best practices and generating production-ready outputs.

This skill provides a comprehensive framework for implementing robust API rate limiting. It supports advanced algorithms like sliding windows, token buckets, and fixed counters, backed by Redis for distributed state. Use it to protect endpoints from excessive requests, enforce tiered quotas (Free, Pro, Enterprise), and prevent abuse like brute-force attacks by setting per-user, per-endpoint, or per-API-key limits.

Automates building Redux slices, guiding best practices, producing production-ready code, and validating frontend state management patterns for React and Vue projects.

A sophisticated tool for optimizing crypto trades across multiple Decentralized Exchanges (DEXs). It aggregates quotes from major aggregators (like 1inch, Paraswap, and 0x) to find the optimal multi-hop route, calculate split orders for large trades, and assess MEV risk, ensuring minimum slippage and gas costs.

Walks through Trail of Bits’ five-step secure smart-contract workflow, running Slither and special feature checks, generating visual diagrams, documenting security properties, and flagging manual risks with an action plan.

Guides post-training of GLM-class LLMs with Megatron-LM and SGLang, focusing on GRPO rollout generation, custom data buffers, and tight RL scaling workflows for research and production use.

This framework provides a comprehensive methodology for defining, measuring, and implementing Service Level Indicators (SLIs), Service Level Objectives (SLOs), and managing error budgets. It helps engineering teams quantify service reliability (e.g., availability, latency) and establish clear, measurable targets (SLOs). By tracking error budgets, teams can strategically balance rapid feature development (innovation velocity) against maintaining high system stability and reliability.

Provides SRE guidance for defining SLIs/SLOs, managing error budgets, automating toil, and configuring monitoring/alerting so teams can scale reliable services and respond to incidents effectively.

Theme Factory delivers 10 curated color and font themes plus a workflow to apply or generate palettes for slides, docs, reports or landing pages, ensuring consistent visual identity across artifacts.