Skill UI

Session Security Guide supplies automated, production-ready assistance for session security checker tasks, offering best practice guidance on authentication, validation, secure coding, and vulnerability detection.

SGLang is a high-performance serving framework for LLMs and VLMs that uses RadixAttention prefix caching to deliver structured outputs (JSON/regex/grammar) and agentic workflows with function calls, providing up to 5× faster inference than vLLM across multi-GPU production deployments.

Automates Shopify tasks via Composio's Rube MCP toolkit, covering product, order, customer, collection, and inventory workflows using the provided Shopify tools after discovering the current schemas.

Automates SIEM rule generation within advanced security workflows, guiding through industry best practices, compliance checks, and threat modeling to deliver production-ready configurations verified against common standards.

This pattern provides established best practices for implementing efficient similarity search in production systems. It is crucial for building semantic search engines, implementing Retrieval-Augmented Generation (RAG), creating advanced recommendation systems, and optimizing retrieval performance when scaling to millions of vectors.

Automates sklearn pipeline builder tasks within ML training, activating on relevant triggers to guide data prep, model training, hyperparameter tuning, and experiment tracking with production-ready code and standards validation.

Provides a comprehensive guide and framework for building robust, production-grade Slack applications. Utilizes the recommended Bolt framework to handle authentication, event routing, and request verification across Python, JavaScript, and Java. Covers advanced topics like interactive UI design using Block Kit, implementing slash commands, managing OAuth flows, and integrating with Workflow Builder. Ideal for developers building sophisticated, enterprise-level team communication tools.

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.

Automates guidance for sorting parameter handlers in API development, covering REST, GraphQL, OpenAPI, authentication, and design patterns, with step-by-step best practices and production-ready validation.

Guides building, tuning, and validating production Apache Spark jobs, covering DataFrame/RDD choices, partitioning, broadcast joins, skew handling, caching, and cluster configuration for big data pipelines.

Automates spark job creation within data pipelines by guiding etl, transformation, orchestration, and streaming workflows; includes industry best practices, code templates, and validation to deliver production-ready jobs.

Automates Spark SQL optimizer tasks in data pipelines by guiding best practices, producing production-ready code and configurations, and validating ETL, transformation, orchestration, and streaming workflows.