Skill UI

This tool generates comprehensive trading signals by analyzing multiple technical indicators (RSI, MACD, Bollinger Bands, etc.) across various assets. It combines indicators to produce composite BUY/SELL signals, complete with confidence scores and risk management levels. Use it when analyzing crypto or stock assets to identify high-potential trading entry or exit points.

Automatically analyzes source files, detects or honors the requested testing framework, and produces comprehensive unit tests with mocks, edge cases, and assertions for Jest, pytest, JUnit, and other frameworks whenever users ask to generate tests.

This skill orchestrates a comprehensive, multi-stage Git development workflow, simulating the process from code commit to PR preparation. It leverages specialized AI agents (code reviewers, test automators, prompt engineers) to systematically enforce best practices. Key functions include code quality assessment, breaking change analysis, running unit/integration/E2E tests, and generating Conventional Commit messages, ensuring code readiness and high quality before merging.

This skill acts as a PR optimization expert, designed to help users create high-quality pull requests. It generates comprehensive descriptions, automates review processes, and ensures adherence to best practices regarding clarity, documentation, and test coverage. It streamlines the entire code review lifecycle.

This specialized guide is essential for developers migrating projects from Godot 3.x to Godot 4. It systematically covers major technical updates, including GDScript 2.0 syntax changes, mandatory `@export` annotations, adopting the modern `create_tween()` system, and updating signal connections and coroutine handling from `yield` to `await`. Use this resource to ensure a smooth and efficient engine upgrade.

Automates Google Maps workflows via the Rube MCP (Composio) toolkit, letting you geocode addresses, search places, fetch directions, compute route matrices, and pull place details or autocomplete data while respecting live tool schemas.

This comprehensive guide covers the entire data lifecycle management for Granola meeting notes. Users learn how to export data using local cache scripts or Enterprise APIs, set customized data retention policies, and handle data subject access requests (SARs). It is essential for maintaining GDPR/CCPA compliance and ensuring data portability.

This skill provides comprehensive setup and automation for integrating Granola with major SaaS platforms, including Slack, Notion, HubSpot, Attio, and Zapier. It automates the synchronization of meeting notes, action item extraction, and follow-up processes across diverse business tools, ensuring seamless cross-platform workflows and maximizing team productivity.

Configure robust role-based access control (RBAC) for Granola workspaces, essential for enterprise-level data security and governance. This guide details setting up role hierarchies (Owner, Admin, Member, Viewer), defining granular permissions, integrating SSO/SCIM for automated provisioning, and implementing least-privilege access principles. It also covers advanced features like per-workspace sharing policies and detailed audit logging to ensure regulatory compliance.

This skill outlines the complete workflow for capturing and structuring meeting notes using Granola. It captures audio, transcribes the content, and intelligently merges live user notes with the full transcript. The output is structured into key sections like Summaries, Decisions, and Action Items. Users can also interact with Granola Chat for post-meeting Q&A, making it an essential tool for professional meeting documentation and follow-up.

A comprehensive guide detailing the strategy for migrating from competing meeting note tools (such as Otter.ai, Fireflies, Fathom) to a new platform like Granola. This skill covers assessing migration scope, performing source-specific data exports (TXT, JSON, Markdown), selecting the optimal migration strategy (Fresh Start, Selective, Full Archive), and executing a phased transition through parallel runs and final cutover procedures. It ensures historical data preservation and minimizes operational disruption.

A tool designed to collect comprehensive diagnostic evidence for troubleshooting issues encountered with the Groq API. It captures environment details, API connectivity status, rate limit information, latency benchmarks, and redacted application logs, making it essential for creating detailed and actionable support tickets.