Skill UI

Scans Cairo/StarkNet smart contracts for six critical issues spanning felt252 arithmetic, messaging, access control, and signature replay, reporting severity and fixes to support audits, bridge reviews, and pre-launch security checks.

This comprehensive guide outlines the end-to-end process of building production-grade ETL data pipelines using Databricks and Delta Lake. It implements the robust Medallion Architecture (Bronze, Silver, Gold) for scalable data management. Techniques covered include Auto Loader for incremental streaming ingestion, MERGE INTO for upsert semantics, data cleansing, and advanced aggregation into analytics-ready layers. Ideal for establishing reliable data pipelines in a data lakehouse environment.

This skill provides a comprehensive guide on implementing robust data governance patterns within Delta Lake, leveraging Unity Catalog. It covers essential compliance topics such as data classification tagging, handling GDPR 'right-to-deletion' requests for PII, and establishing automated data retention policies. Use this when designing secure, compliant, and auditable data pipelines in a data lake environment.

Orchestrates Felt automation by first discovering the latest Rube MCP tool schemas, validating the Felt connection, and running the confirmed tools via Composio workflows for reliable task execution.

This skill provides comprehensive principles for developing multiplayer games, covering essential topics from networking architecture (Dedicated, P2P, Host-based) to advanced synchronization techniques. It details how to handle latency via prediction, interpolation, and lag compensation, optimize bandwidth using delta compression, and implement robust security measures like server authority and anti-cheat systems. Ideal for developers building real-time online experiences.

This comprehensive guide details the expertise needed for a Senior Data Engineer. It covers building, optimizing, and governing scalable data pipelines and robust ETL/ELT systems using modern tools like Spark, Kafka, Airflow, and dbt. Includes decision frameworks for architecting data solutions (Batch vs Streaming, Lakehouse vs Warehouse) and implementing advanced data modeling patterns.

Automate Teltel operations through Composio’s Teltel toolkit via Rube MCP, highlighting upfront tool discovery, connection verification, schema-aligned arguments, and coordinated multi-tool execution within each workflow.

Guides building and scaling Convex backends with TypeScript schemas, queries, mutations, real-time subscriptions, auth, file storage, scheduling, and deployment across React, Next.js, Angular, Vue, Svelte, and RN.

A powerful skill for conducting structured, systematic code reviews for PRs and MRs. It goes beyond basic style checks, performing deep analysis such as blast radius tracing, comprehensive security scanning (SQLi, XSS, secrets), detecting breaking changes in APIs/DB schemas, and calculating test coverage delta. Ideal for reviewing large, complex, or security-sensitive code changes before merging.

This skill transforms a refined research proposal or method idea into a detailed, structured, and claim-driven experiment roadmap. It helps users determine exactly which experiments to run, in what order, and what evidence is needed to support the core claims of a research paper, ensuring focus on novelty, simplicity, and genuine contribution.

This tool systematically generates, validates, and ranks concrete, publishable research ideas based on a broad research direction provided by the user. It guides the user through the entire idea discovery pipeline, from initial landscape survey (Phase 1) to validation (novelty checks, experiments) and review, ensuring the generated ideas are novel and relevant for academic publication. It manages complex workflow orchestration and utilizes multiple external tools.

This advanced skill guides users from a broad robotic concept (e.g., 'humanoid grasping') to a highly defined, research-ready hypothesis. It automates a robust four-stage pipeline: literature survey, idea creation, novelty verification, and critical review. The process rigorously enforces academic constraints, prioritizing simulation-first approaches, grounding ideas in established benchmarks (like ManiSkill or Habitat), and ensuring feasibility for real-world robotics development.