loading-insurance-data
Load, validate, and preprocess weekly insurance policy CSV data with intelligent period detection and standardization.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
226 skills found
Load, validate, and preprocess weekly insurance policy CSV data with intelligent period detection and standardization.
Comprehensive Python toolkit for computational materials science, crystal structure analysis, phase diagrams, and Materials Project data integration.
Comprehensive citation management: search academic databases, extract metadata from DOIs/PMIDs/arXiv, validate references, and generate perfectly formatted BibTeX for scientific manuscripts.
A professional UI/UX design guide for web and mobile. Features 50+ styles, 99 UX guidelines, and 97 color palettes. Supports multi-stack recommendations for React, Vue, Next.js, and more.
Optimize agent context windows through KV-caching, observation masking, summarization-based compaction, and context partitioning to reduce costs and latency.
Persistent, semantic long-term memory for AI agents. Save, query, and retrieve cross-session dialogues, decisions, and multimodal context using semantic compression.
Nonlinear optimization toolkit using CasADi and IPOPT. Ideal for building complex NLP models, defining symbolic variables, constraints, and solvers, with specialized support for power systems optimization patterns.
A framework for an LLM-based NetHack agent that dynamically synthesizes Python code in a secure sandbox to perform complex dungeon exploration and gameplay actions via a high-level API.
Comprehensive ABAP development support for SAP systems, covering classic ABAP, ABAP Cloud, CDS views, RAP, EML, and modern syntax patterns.
Run, debug, and manage DBHub tests including unit, integration with Testcontainers, and database-specific suites. Perfect for verifying code changes and troubleshooting database connector issues.
Fetch and aggregate the latest Posit news, blog posts, podcast episodes, video content, and event announcements using automated sub-agents.
Extract specific fields from YAML files efficiently without reading entire files, saving 80-95% of context window usage.