Analytics skills

This skill helps you perform reconciliation workflows by guiding GL-to-subledger, bank, and intercompany reconciliations and categorizing reconciling items.

This skill drafts professional, empathetic customer responses tailored to context, channel, and urgency to improve clarity and resolution.

This skill enables real-time research lookup across Perplexity Sonar models, selecting the optimal probe for complex queries and returning cited academic

This skill helps you accelerate data processing with Polars by leveraging lazy evaluation and Apache Arrow backend for in-memory datasets.

This skill profiles and assesses new datasets, revealing structure, quality, distributions, and potential issues to guide analysis.

This skill helps you manage connected MCP sources, prioritize queries, and handle rate limits to improve enterprise search results.

This skill assesses and classifies legal risks using a severity-likelihood framework to support contract reviews and escalation decisions.

This skill helps you understand Materialize queries, sources, sinks, and views by summarizing key concepts from the official docs.

This skill runs Rust benchmarks and compares performance against the C implementation to help optimize the Redisearch Rust integration.

This skill generates Xiaohongshu infographic series with 10 visual styles and 8 layouts to optimize engagement for Chinese platforms.

This skill helps simulate red team tactics based on MITRE ATT&CK to improve defenses by mapping phases, vectors, and reporting.

This skill helps you implement foundational SEO practices covering E-E-A-T, Core Web Vitals, technical and content optimization for better visibility.

This skill helps orchestrate ML workloads across multiple clouds with automatic cost optimization and spot instance recovery.

This skill enables fast billion-scale vector similarity with FAISS, guiding deployment, index selection, and GPU-accelerated search for high-performance

This skill helps generate high-quality embeddings for semantic search and retrieval using sentence-transformers, enabling efficient RAG, clustering, and

This skill orchestrates distributed training with Ray Train to scale PyTorch, TF, and HuggingFace across clusters, boosting efficiency and fault tolerance.

This skill helps extend transformer context windows for long documents using RoPE, YaRN, ALiBi, and position interpolation to improve efficiency and

This skill helps you benchmark LLMs across 100+ benchmarks with containerized, scalable evaluation on local Docker, Slurm HPC, or cloud platforms.

This skill benchmarks code generation models across 15+ tasks, providing pass@k metrics and multi-language evaluation for robust code quality.

This skill helps you track ML experiments, visualize training, sweep hyperparameters, and manage models using Weights & Biases for streamlined MLOps.

This skill helps you build powerful RAG applications by ingesting documents, indexing data, and querying with LlamaIndex.