Skill UI

This skill transforms an LLM into a disciplined wiki maintainer for Obsidian. It moves beyond simple RAG by incrementally ingesting sources (papers, notes, articles) to build a persistent, interlinked "Second Brain." The LLM manages cross-references, updates core concepts, and maintains an evolving knowledge graph, ensuring that knowledge compounds over time rather than being re-derived on every query. Ideal for deep research, personal knowledge management (PKM), and building comprehensive internal wikis.

This guide provides a minimal working example demonstrating core MindTickle API functionality. It shows how to programmatically create structured training modules (including videos and quizzes), assign them to specific teams or users with deadlines, and track user progress and overall completion rates using analytics endpoints. It is ideal for integrating Learning Management System (LMS) functionality into internal corporate tools and automating onboarding processes.

This skill provides comprehensive programmatic access to the Navan travel booking platform via REST API. It manages the entire trip lifecycle, including OAuth authentication, retrieving user and admin bookings, filtering by date/status, and handling pagination. Ideal for automating trip reporting, syncing data to internal systems, or building advanced travel dashboards.

This skill provides a comprehensive framework for setting up and managing real-time webhooks from the Navan platform. It covers registering callback URLs, verifying payload signatures using HMAC-SHA256, and implementing idempotent event processing. It routes and handles key events related to the booking lifecycle, expense workflow, and travel disruptions, enabling seamless integration with internal systems.

A comprehensive guide for performing end-to-end (E2E) and integration testing on the Nexu → OpenClaw gateway stack. It details the architectural constraints and viable testing methods, emphasizing the use of Vitest for reliable internal function testing (e.g., skill snapshotting, session store logic). Use this when verifying core gateway fixes, testing skill loading after restarts, or simulating complex operational scenarios.

This guide provides a comprehensive walkthrough for installing and configuring the Notion API SDK in both Node.js and Python environments. It covers creating internal integrations, securely setting environment variables for the API token, and verifying connectivity. Necessary for any developer building applications that interact with Notion workspaces and databases.

A specialized AI agent designed to build and audit business models using Alexander Osterwalder’s comprehensive 9-block framework. It moves beyond mere filling of blocks, focusing on establishing the critical logical 'lock' between core components like Value Propositions, Customer Segments, and Cost Structures. This tool is ideal for initial business architecture design, auditing existing models for internal consistency (e.g., ensuring every key activity has a corresponding cost), or re-validating the core logic during a strategic pivot.

This internal agent skill automates the complex process of determining the most likely owner or team for a bug cluster. It follows a strict 6-level precedence model, starting with cached overrides, and sequentially querying sources like Service Owners, Oncall status, CODEOWNERS, recent assignees, and committers. The process includes staleness detection and confidence scoring, providing highly accurate and auditable routing recommendations for internal development triage.

This skill provides an integration pattern for RemoFirst, a global platform managing HR, EOR, and payroll. Use this when automating workflows related to global employment, retrieving employee data, or ensuring payroll compliance. Ideal for developers needing to connect internal systems to the RemoFirst API.

This internal agent skill defines a systematic, multi-step procedure for scanning GitHub repositories to gather comprehensive evidence supporting or explaining bug clusters. The process covers searching open issues, inspecting recent commits, analyzing code paths, and checking deployment history. It assigns evidence confidence tiers (Exact, Strong, Moderate, Weak) to provide a deep, actionable understanding of potential software defects.

Test-Driven Development (TDD) is a development methodology that emphasizes writing failing tests first, followed by writing minimal code to pass them (Red -> Green), and finally refactoring the code (Refactor). This approach ensures that code is always verified against its intended public behavior, making the system robust, maintainable, and resilient to internal changes. It teaches developers to focus on 'what' the system does, rather than 'how' it does it.

This internal agent skill defines the structured procedure for displaying bug triage results in terminal markdown format. It generates comprehensive summaries of bug clusters, provides detailed views of evidence and reports, and handles the parsing and execution flow for user review commands (e.g., `details`, `file`, `dismiss`, `escalate`). It is a core component for automated bug triage and defect management workflows.