Skill UI

Conducts comprehensive, sector-specific threat landscape assessments by profiling key threat actors, mapping attack vectors, and detailing associated MITRE ATT&CK TTPs (covering financial, healthcare, energy, etc.). Utilizing sophisticated data analysis via Python stacks and integrating real-time threat intelligence feeds (ISAC, CVEs), this tool generates highly actionable intelligence for risk management, security investment prioritization, and high-level board-level reporting on industry exposure.

A comprehensive deep dive into reverse engineering ransomware encryption mechanisms. It details the analysis of hybrid encryption models (AES/RSA), identifying specific cryptographic APIs (CryptoAPI, CNG), and locating implementation flaws such as weak key generation or IV reuse. This guides authorized security professionals in finding potential decryption opportunities without paying a ransom.

A comprehensive guide and code suite for performing penetration testing on real-time WebSocket APIs (WS/WSS). This tool assesses vulnerabilities including Cross-Site WebSocket Hijacking (CSWSH), missing handshake authentication, message injection, input validation failures, and DoS risks. It guides users through analyzing the handshake process and testing authorization enforcement using Python and specialized tools.

Models cap table dilution, SAFE conversion, and exit waterfalls for venture rounds, generating OCF inputs and running Python scripts to calculate ownership changes and waterfall outcomes.

Scans a company or sector for hiring, funding, product, team, market, and tech signals using CLAUDE web search and Python scoring to surface investment readiness, momentum, and competitive risks for VC deal sourcing.

Executes a structured VC valuation workflow that ingests SaaS or startup metrics, runs DCF, comparable revenue multiples, and SaaS health models via Python, and synthesizes a defensible valuation, runway, and capital-efficiency narrative for users planning fundraising or benchmarking.

Assistant for venture fund administrators: ingests capital calls, investments, and cash flows to compute KPIs (TVPI, DPI, IRR, MOIC), model carry/fees, and draft LP quarterly updates via Claude Code + Python.

A foresight agent that runs a rigorous 12-step pipeline combining Claude’s qualitative intelligence with Python’s deterministic arithmetic to analyze high-stakes future scenarios, infer reasonable horizons, and surface quantitative signals for prediction requests.

Hard screening skill runs deterministic VC analyses where Claude gathers context, Python scores/formats, and the pipeline produces auditable verdicts with investment thesis guidance.

Performs TAM/SAM/SOM sizing via Claude-led research and Python computation while summarizing competitive landscapes and tech-stack maturity to support venture capital diligence.

PydanticAI is a robust Python framework that integrates Pydantic's type-checking and validation capabilities into Large Language Models (LLMs). It allows developers to build production-ready AI agents that guarantee structured, validated outputs, moving beyond simple raw strings. Key features include supported tool calling, dependency injection for testability, and multi-model compatibility across major providers like OpenAI, Anthropic, and Gemini. Use this when reliability and correct data structure are paramount.

MCPB is a specialized local server bundle that packages the entire runtime environment (Node.js or Python) alongside the server code. It allows developers to distribute and run complex MCP services directly on a user's machine without requiring the user to pre-install specific runtimes or toolchains. Use this when the server must interact with the local filesystem, desktop applications, or OS-level APIs.