Skill UI

A comprehensive guide for implementing, auditing, and enforcing least-privilege firewall rules within Google Cloud Platform (GCP) VPC networks. This process ensures robust network segmentation, restricts unauthorized ingress and egress traffic, and enables the application of hierarchical firewall policies across an entire organization, significantly bolstering cloud security posture.

PyMC is a powerful Python library designed for probabilistic programming and sophisticated Bayesian modeling. It enables users to build complex models, such as hierarchical structures and time series, and perform rigorous inference using methods like MCMC (NUTS) sampling and Variational Inference. Key features include model comparison (LOO, WAIC) and comprehensive diagnostic tools for uncertainty quantification.

A comprehensive guide to implementing Role-Based Access Control (RBAC) in ClickHouse. Learn how to manage user authentication, define hierarchical roles, enforce row-level security (RLS) for tenant isolation, restrict data access via column-level grants, and manage resource consumption using quotas and settings profiles. Essential for multi-tenant SaaS and secure data analytics platforms.

This skill converts dense text, articles, or complex notes into clean, highly structured, and hierarchical bullet points. It is ideal for summarization, academic studying, or creating organized notes where strict readability and clear parent-child relationships are required. It eliminates prose and paragraphs, enforcing a pure bullet format for maximum structural clarity and memorization.

This advanced script offers a comprehensive solution for migrating project management data into ClickUp. It facilitates importing structured data from major external tools like Jira, Asana, and Trello, or moving data between disparate ClickUp workspaces. The process handles complex data mapping (e.g., Boards to Spaces, Issues to Tasks), custom fields, and ensures the integrity of hierarchical project structures.

Generates highly structured and visually rich documents within the Feishu (Lark) cloud suite. This tool accepts Lark-flavored Markdown, supporting advanced formatting like callouts, grids, enhanced tables, and Mermaid diagrams. It is ideal for creating professional knowledge base articles, detailed project plans, meeting minutes, and comprehensive reports requiring strong visual presentation and clear hierarchical structure.

Master advanced patterns for composing LangGraph subgraphs, which is essential for building robust, multi-agent systems like planner-executors or hierarchical teams. This skill addresses critical issues such as shared state contract propagation (P21) and callback scoping (P28). Learn to manage state across independent graph components using sophisticated dispatch patterns: compiled nodes, Send fan-out, and Command bubble-up.

This skill provides comprehensive CRUD (Create, Read, Update, Delete) capabilities for OneNote's entire hierarchical structure, including Notebooks, Section Groups, Sections, and Pages, using the Microsoft Graph API. It is designed for complex workflow automation, addressing critical pain points like strict XHTML formatting, delegated credential handling, and managing the unique content retrieval process in a production-safe manner.

A specialized assistant designed to navigate and accurately retrieve commands and parameters from the offline Alibaba Cloud CLI Chinese documentation mirror. It enforces a strict, hierarchical workflow: first consulting quick usage guides, then checking the main index, and finally drilling down to specific chapter pages. This structured approach ensures all provided information is accurate, evidence-based, and highly relevant to the user's intent.

A comprehensive tool for querying, storing, and managing complex knowledge across multiple agent sessions. AgentDB utilizes advanced techniques including semantic routing, hierarchical recall, causal graph construction, and context synthesis. Use this skill when your application requires robust, multi-faceted knowledge retrieval and reasoning based on structured and unstructured data. It provides a structured workflow for checking system health, starting sessions, storing knowledge in tiers (working, episodic, semantic), and searching learned patterns.

A mechanism for spawning hierarchical, nested sub-agents up to five levels deep, designed specifically for deep task delegation while managing context limitations. Instead of parallel execution, this ensures that each layer of decomposition receives a fresh context window, preventing the parent agent's context budget from being overwhelmed by complex, multi-step workflows. Ideal for research, verification, and synthesis processes.

This tool initializes a structured multi-agent swarm with built-in anti-drift configuration. It is designed for orchestrating complex, multi-file tasks that require coordinated efforts from three or more specialized AI agents, such as feature implementation, cross-module refactoring, or comprehensive security audits. It supports various topologies (hierarchical, mesh, etc.) to ensure robust and manageable parallel work execution across large teams.