Skill UI

This comprehensive framework allows users to validate and test both crypto and traditional trading strategies against extensive historical market data. It calculates essential performance metrics (Sharpe Ratio, Sortino Ratio, Max Drawdown), simulates trade execution, generates equity curves, and includes advanced parameter grid search optimization tools for robust strategy validation.

Automates Postgrid operations via Composio’s toolkit over Rube MCP by laying out the connection, discovery, execution, and schema-compliance steps so agents always search tools first, verify the active Postgrid link, and run workflows with correct memory and session handling.

Automates SendGrid email workflows through Composio’s Rube MCP, covering marketing sends, contact/list management, sender identities, and analytics while always starting with RUBE_SEARCH_TOOLS to capture current schemas.

Guides Claude to automatically tune machine learning model hyperparameters via grid, random, or Bayesian search, generating runnable Python code, executing validations, and reporting best configurations plus performance metrics for accuracy or other goals.

An ultra-rational, grid-based presentation template inspired by Swiss design principles. Featuring a strict 16-column grid, limited color palettes (Klein Blue, Lemon, Safety Orange), and 22 predefined layouts. Ideal for presenting complex data, academic research, product roadmaps, and high-level business analysis where clarity and objectivity are paramount.

A comprehensive guide detailing how to structure and populate the supplementary material section of technical research papers, especially in NLP and Machine Learning. It distinguishes between load-bearing elements (main text) and audit trails (appendix), covering prompt verbatim, decoding configurations, full result grids, and code anonymization protocols to ensure high reproducibility and academic rigor.

This guide details the strategic placement of supplementary evidence (e.g., tuning grids, ablation studies, code) for academic submissions, particularly in conference formats like RecSys. It clarifies the difference between material belonging in the main body, the page-counted appendix, and the anonymous repository, ensuring that critical findings are visible and adhere to strict page budget constraints.

Provides expert guidelines for creating high-rigor methodological exhibits for the Sociological Methods & Research (SMR) journal. Focuses on constructing self-contained simulation grids, method-comparison tables, and diagnostic figures that clearly communicate methodological arguments, ensuring reviewers can audit claims directly without relying on surrounding prose.