Skill UI

This skill provides quantitative analysis frameworks and CLI indicator scripting via Longbridge. It supports pairs trading, volatility strategies, multi-factor models, and statistical methods like ADF/GARCH. Users can run scripts against K-line data for strategy optimization, hedging, and ML-based prediction without requiring login. Ideal for quantitative finance workflows.

Curated upstream guidance for Longbridge Research. Provides institutional data, sell-side research, and investment research frameworks including analyst ratings, consensus estimates, financial calendars, shareholder data, insider trades, short selling data, industry rankings, peer group trees, investment idea generation, investment proposals, coverage initiation, competitive analysis, financial planning, DeFi yield analysis, and on-chain data. Use when the user's goal matches the documented workflows.

A powerful tool utilizing Rube MCP to automate interactions with Make (formerly Integromat) scenarios. It allows users to retrieve detailed operation logs, monitor usage data, and validate critical configuration parameters such as supported languages and timezones. Ideal for building comprehensive workflow monitoring dashboards and ensuring the integrity of complex integration pipelines.

End-to-end MLOps pipeline orchestration guidance covering data preparation, model training, validation, deployment, monitoring, and workflow automation best practices.

Establish model registry standards, governance controls, metadata schemas, approvals, and lifecycle policies for enterprise AI deployments. Includes MLflow setup, required metadata schema, and registration scripts for traceability and policy-driven promotion.

Routes ambiguous data-observability requests to the appropriate Monte Carlo skill or workflow. Activates reactively for unclear alerts, incidents, coverage gaps, or general data quality issues, asking clarifying questions first to avoid premature tool calls.

Diagnoses data pipeline performance issues such as slow jobs, expensive queries, and latency trends using Monte Carlo's cross-platform observability. Works across Airflow, dbt, Databricks, and warehouse query engines to find bottlenecks, detect regressions, and identify root causes.

Validate and fix n8n expression syntax in workflows. Covers {{}} syntax, $json/$node variables, webhook data access, and common pitfalls like Code nodes and credential fields. Includes practical examples for webhook-to-Slack and HTTP-to-Email integrations.

Proven architectural patterns for building n8n workflows, including webhook processing, API integration, database operations, AI agent workflows, and scheduled tasks. Guides pattern selection and implementation.

Create and manage Neon Postgres branches for testing and development. Supports normal branches with real data for migration testing, and schema-only branches for sensitive data workflows. Use Neon CLI or MCP to create, validate, and reset branches. Ideal for isolated test environments and migration testing with production-like data. Includes guidance for branch type selection and tool authentication.

Automates Notion pages, databases, blocks, comments, and users through Composio’s Notion toolkit via Rube MCP, guiding connection setup, tool sequencing, and schema-aware workflows for operations.

This skill provides comprehensive automation for managing OneDrive file lifecycles. Users can perform advanced operations including searching across metadata and content, uploading and downloading files, organizing folders, creating share links, and granularly managing permissions for specific users. It utilizes a structured workflow approach via Rube MCP, making it ideal for automating business processes involving cloud document storage and collaboration.