Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
130 skills found
Automate your daily Milan news digest with this Python-based briefing tool. Supports weather, strikes, world/AI/Italian news, and event scraping, featuring deduplication, RSS/API pipeline management, and AI-agent ready scheduling.
Automated global intelligence aggregator for market, geopolitical, and AI news. Features RSS feed integration, real-time alert systems for critical events, and structured report generation with intelligence inference.
Operate the btca CLI for source-first code research. Manage git, local, and npm resources to ground AI answers in actual codebase context rather than outdated documentation.
Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries to enhance your AI-assisted development workflow.
Academic research assistant for literature reviews, paper analysis, methodology critique, and scholarly writing support.
Access Y Combinator’s library of 443+ startup resources for expert advice on fundraising, co-founders, product development, growth, and scaling your business.
Comprehensive security audit and hardening for AI agents: credential scanning, PII protection, prompt injection defense, and workspace config optimization.
Automate regulatory compliance testing for GDPR, CCPA, HIPAA, SOC2, and PCI-DSS to ensure legal adherence, prepare for audits, and secure sensitive data.
Generate optimized SQL queries from natural language. Supports BigQuery, PostgreSQL, MySQL, and Snowflake. Analyze database schemas, interpret business requirements, and output ready-to-run queries with explanations.
Analyze financial data, calculate key performance metrics like margins and ROI, and generate structured analytical reports.
Standardize, validate, and manage Netresearch AI agent skill repositories with automated structure enforcement, distribution workflows, and licensing compliance tools.
Comprehensive Python healthcare AI toolkit for clinical data processing, medical coding translation, and developing deep learning models like RETAIN and Transformers for EHR, physiological signals, and clinical prediction tasks.