Skill UI

Structured guidance for TAM/SAM/SOM calculations, combining top-down, bottom-up, and value-theory methods for startup market analysis and fundraising planning.

This comprehensive playbook guides Series A+ B2B SaaS companies on international scaling. It covers the full demand generation lifecycle, from TOFU awareness campaigns using SEO and paid social (LinkedIn, Google, Meta), to MOFU lead nurturing, and BOFU pipeline conversion. It details core KPIs (CAC, MQL/SQL), multi-channel optimization, technical SEO best practices, and strategic partnership building for sustained growth.

This comprehensive guide provides techniques for acquiring, analyzing, and extracting artifacts from memory dumps. It covers best practices for digital forensics, crucial for incident response and malware analysis. Users learn how to use industry-standard tools like Volatility 3 on Windows, Linux, and macOS, including process, network, and registry deep dives.

Provides cross-language patterns for developing memory-safe systems code. This skill covers crucial concepts like RAII, ownership models, smart pointers, and robust resource management. It is essential for preventing common vulnerabilities such as use-after-free, memory leaks, and ensuring reliable resource handling across complex systems.

This skill acts as a specialized expert for generating professional and complex diagrams using Mermaid syntax. It specializes in creating flowcharts, sequence diagrams, ERDs, state charts, Gantt charts, and various system architectures. It adheres to best practices, ensuring readability, consistent styling, and providing complete, ready-to-use code for multiple diagram types.

Automates mermaid flowchart generator guidance, producing code, configuration, and validation for visual content scenarios such as diagrams, charts, and presentations with best-practice recommendations.

Automates Mermaid Gantt chart creation and guidance for diagrams, best practices, and production-ready outputs, ensuring clear visual documentation for presentations and project planning.

Automates guidance for mindmap generator requests, offering best practices, production-ready configurations, and validation for diagrams, charts, and visual documentation workflows in the Visual Content domain.

This toolkit provides a comprehensive framework for managing and optimizing API costs when using Mistral AI. It includes functions for calculating token-based costs across various models, implementing a smart model router based on task complexity, and managing daily/monthly budgets with critical alerts. Furthermore, it offers methods for prompt optimization to reduce token consumption, making it essential for large-scale application cost control and billing analysis.

This comprehensive guide provides minimal working examples for integrating with the Mistral AI API. It demonstrates core LLM functionalities including basic chat completion, streaming responses, multi-turn conversations, and generating structured JSON output. Use this guide when starting a new Mistral integration, testing API connections, or learning advanced AI patterns using TypeScript or Python.

This guide provides comprehensive instructions for installing and configuring the official Mistral AI SDK (for both Python and Node.js). It covers setting up API keys via environment variables, verifying the connection, and implementing secure credential storage using Secret Managers (GCP/AWS) for production environments. Ideal for starting any new Mistral AI project.

Track experiments, catalog models, compare versions, and deploy trained artifacts with MLflow’s framework-agnostic lifecycle tools across PyTorch, TensorFlow, and other stacks.