Skill UI

This tool analyzes the overall sentiment of the cryptocurrency market. It combines three key indicators—the Fear & Greed Index, real-time news analysis, and price/volume momentum—to generate a composite score (0-100). Users can check general market mood or focus on specific digital assets (e.g., BTC) to inform trading decisions and identify potential contrarian signals.

This tool analyzes the overall sentiment of the cryptocurrency market. It combines three key indicators—the Fear & Greed Index, real-time news analysis, and price/volume momentum—to generate a composite score (0-100). Users can check general market mood or focus on specific digital assets (e.g., BTC) to inform trading decisions and identify potential contrarian signals.

Automates BambooHR operations via Composio's Rube MCP toolkit, letting HR teams list employees, detect recent changes, manage time-off flows, update profiles, and handle dependents or benefits while always querying current tool schemas first.

Automates Better Proposals operations through Composio’s Rube MCP toolkit by discovering current tool schemas, verifying Better Proposals connections, and executing schema-compliant multi-tool workflows to handle proposals reliably.

Decision frameworks for CTOs covering tech debt assessment, architecture direction, engineering team scaling, technology evaluation and DORA metrics, with Python tools and ADR templates.

Analyze customer accounts for health scores, churn risk, and expansion opportunities using deterministic Python CLI tools with JSON input and text/JSON output.

A professional tool for building Discounted Cash Flow (DCF) valuation models directly in Excel. This skill generates a comprehensive, multi-sheet model including FCF projections, WACC calculations, terminal value analysis, and two-way sensitivity tables. It is designed for investment banking and corporate finance professionals needing to determine intrinsic or enterprise value.

This skill offers a production-ready financial analysis toolkit featuring ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction. It enables users to analyze financial statements, determine company value, explain budget variances, and build forecasts. Designed for financial modeling, forecasting, budgeting, management reporting, and investment analysis using Python scripts for comprehensive business performance evaluation.

Provides GDPR/DSGVO compliance tools to scan codebases for privacy risks, generate DPIAs, and track data subject rights requests against Article 12(3) deadlines, with final decisions reserved for the DPO.

This guide provides a deep dive into migrating recruiting workflows from traditional tools to Juicebox. It covers key differences, such as switching from limited Boolean search to advanced Natural Language searching (PeopleGPT), expanding contact data, and integrating with over 41 ATS systems. Learn the step-by-step process for setting up your talent sourcing pipeline and optimizing your hiring process.

This module provides production-grade patterns for integrating the Juicebox AI-powered people search API. It includes a singleton client for centralized rate-limit handling, a robust request builder for complex criteria (location, company, experience years), and structured error wrappers for reliable API calls (retries, error context). Ideal for building scalable recruitment, market research, or data enrichment tools.

A comprehensive guide and tool for building and configuring complex, multi-step AI agent workflows. Users can define sophisticated automation pipelines by chaining together customizable triggers (e.g., email, webhook), actions (e.g., Slack post, database update), conditional logic, and external knowledge bases. Ideal for automating business processes like customer support triage, data processing, and complex notifications, ensuring deterministic and scalable AI operations.