Skill UI

This skill offers a quick reference for using pipe and flow functions within the fp-ts library. It assists developers in chaining functions, composing operations, and building data pipelines in TypeScript. Includes examples for transforming specific values, creating reusable transformation pipelines, and working with fp-ts types like Option and Array. Ideal for functional programming tasks requiring function composition.

This skill provides a quick reference for fp-ts types in TypeScript. It helps users decide between Option, Either, Task, and TaskEither types based on whether operations are async or involve errors. It includes common imports, one-line patterns for wrapping nullable values, and pattern matching examples. Ideal for developers needing type selection guidance or import statements for functional programming tasks.

Learn to build and deploy event-driven serverless applications using Google Cloud Functions Gen1 and Gen2. This skill covers configuring triggers for Pub/Sub, Cloud Storage, and Eventarc, as well as managing deployments via gcloud CLI. It includes examples for Python and Node.js runtimes, handling HTTP requests, scheduled tasks, and data processing pipelines without maintaining servers. Ideal for implementing serverless workloads on GCP.

This skill fetches unread GitHub notifications for open pull requests where review is requested from a specific team or opened by a team member. It helps developers identify pending review tasks without manually browsing notifications, streamlining the code review workflow using GitHub CLI.

This skill helps you create high-quality pull requests that facilitate efficient code reviews. It generates comprehensive PR descriptions, automates review processes, and ensures PRs follow best practices for clarity, size, and reviewability. Ideal for developers working on code integration tasks.

Automate GitHub operations like issues, pull requests, branches, and workflows using Rube MCP. Ensures repository policy compliance and safe programmatic changes. Ideal for CI/CD integration and repository maintenance tasks requiring strict access control and verification.

This tool provides comprehensive automation for core GitLab operations, streamlining the entire development lifecycle. Users can manage projects, track issues, review merge requests, manage branches, and monitor CI/CD pipelines. It leverages a unified API interface to handle complex workflows, ensuring efficiency in version control and collaborative development environments.

Search, inspect, and run third-party data APIs through one CLI and account. Use for marketing, research, and data enrichment tasks when no suitable integration exists.

A cross-protocol platform for discovering and searching 18,000+ MCP servers and AI agents across six or more registries. It allows users to find the necessary endpoint for specific tasks (like database access or file conversion) by searching across MCP, A2A, and agents.txt protocols simultaneously.

The /goal command converts standard agent prompts into persistent, self-correcting loops (plan → act → test → review → iterate). It is designed for long-running, complex engineering tasks like migrations, coverage lifts, or refactoring, ensuring progress is tracked against a verifiable stop condition and mandated documentation.

This skill enables users to read and edit Google Docs documents using authenticated connectors or reviewed API integrations. It involves identifying document IDs, preparing authorized edits, and verifying changes through read-back operations. Users must follow specific procedures to ensure data integrity and scope compliance. It is suitable for automating document management tasks within enterprise environments where API access is configured.

Delegate well-specified implementation tasks to xAI's Grok Build CLI running headlessly while the orchestrating agent plans, writes task specs, reviews every diff, and owns the final result.