Skill UI

Investigate and resolve data quality alerts using Monte Carlo MCP tools. Performs root cause analysis, assesses impact, discovers remediation tools, and executes fixes or escalates issues with full context.

This engine aggregates news from multiple RSS sources (e.g., TechCrunch, The Verge) and performs advanced sentiment analysis using AI (Claude). It ranks articles by industry impact, generates structured summaries, and provides actionable commentary, making it ideal for daily tech/AI briefing preparation and market monitoring.

Builds a deterministic Software Graph from TypeScript repositories and exposes it via CLI, MCP server, and agent skills for evidence-backed architecture review, request tracing, impact analysis, and dependency topology inspection before searching source files directly.

A specialized skill designed for agents to proactively identify, analyze, and strategize high-impact contributions within trending Open Source repositories. It systematically performs repository discovery, extracts targeted issues (like 'help wanted' or 'good first issue'), and conducts deep feasibility analysis (including mergeability and complexity). Finally, it generates a structured 'Contribution Dossier' with actionable plans, significantly accelerating the process of becoming a top-tier OSS contributor.

This skill acts as a literature-research assistant, orchestrating a Python CLI to interface with APIs like Semantic Scholar and arXiv. It enables users to search for academic papers by topic, retrieve detailed metadata, perform impact analysis using citation tracking, download PDFs, and extract text content. It streamlines the entire academic research workflow from initial discovery to deep reading.

A structured client-facing format for red-team engagements and penetration testing reports. Includes standardized sections for findings, severity assessment, impact analysis, and proof of concept. Suitable for delivering reports to CISOs and technical stakeholders requiring DOCX/PDF output.