Skill UI

A comprehensive toolkit to automate core Slack workspace operations. Users can manage messaging (sending, updating, replying), perform advanced message searches, list and manage channels and users, and handle reactions and threaded conversations. Ideal for integrating Slack into automated business workflows.

This skill provides comprehensive automation capabilities for managing Asana workspaces. Users can automate complex tasks including creating, searching, and listing tasks; managing projects and sections; and listing teams and users. By utilizing the Rube MCP framework, it allows for the orchestration of multi-step workflows, significantly streamlining project management and collaboration processes.

This comprehensive automation toolkit manages core Bitbucket functionalities, including repositories, workspaces, pull requests, and issues. It enables programmatic control over development workflows—from creating and reviewing pull requests to listing repos, tracking issues, and managing workspace members. Essential for integrating CI/CD pipelines and streamlining the entire software development lifecycle.

This toolkit provides comprehensive automation capabilities for Confluence platforms via Rube MCP. It allows users to automate the entire documentation lifecycle, including creating and updating pages, performing advanced content searches using CQL, managing spaces, and applying labels efficiently. Ideal for teams needing to streamline knowledge base maintenance and content governance.

Installs npm packages inside virtiofs-mounted Docker workspaces by copying package files to a container-local ext4 directory, running npm ci there, and symlinking node_modules back so native binaries avoid virtiofs crashes.

A comprehensive guide and mechanism for ensuring development work occurs in an isolated environment using native worktree tools or falling back to manual git worktree creation. It guides users through mandatory steps like detecting existing isolation, prioritizing native tools, and verifying the clean state before development begins.

Acontext serves as a robust memory layer for production-grade AI agents. It provides persistent sessions, disk-based storage, and sophisticated learning spaces that distill complex conversations into reusable, structured skills. Users can manage the entire system—from project setup and login to skill uploading—via a powerful Command Line Interface (CLI) and API, significantly enhancing agents' contextual understanding and long-term knowledge retention.

A comprehensive guide for migrating code from deprecated libraries like alchemy-web3 to the modern alchemy-sdk (v3). This resource details handling breaking changes, understanding new API namespaces (core, nft, ws), and updating web3 interactions to ensure seamless blockchain functionality.

A comprehensive guide for configuring and managing Claude API access across disparate environments (Development, Staging, Production). This skill details how to implement isolated API keys, model selection strategies, and crucial spend controls using Anthropic Workspaces, ensuring secure and reliable deployment pipelines for AI applications.

A comprehensive solution for implementing enterprise-grade access control and multi-workspace functionality for ClickUp API v2. This code provides mechanisms for role-based permission checking (Owner, Admin, Member, Guest) and handles the OAuth 2.0 flow, enabling applications to securely access and manage multiple authorized workspaces on behalf of a user.

A comprehensive guide to creating, managing, and processing ClickUp webhooks. Learn how to set up real-time HTTP POST notifications for resource changes (tasks, lists, spaces). This is essential for implementing two-way synchronization, building external automation workflows, and processing detailed event payloads for seamless system integration.

A comprehensive guide for configuring and managing organization-level access control within the Anthropic ecosystem. It details Workspaces setup (Production, Staging, Development), defines roles (Owner, Admin, Developer), and provides best practices for API key management. Includes practical Python code examples for implementing application-level Role-Based Access Control (RBAC) to restrict model access and usage limits.