Skill UI

This comprehensive skill manages the entire computer vision pipeline, from custom dataset annotation to model deployment. Users can fine-tune YOLO models on proprietary COCO-formatted datasets using an agent-driven workflow. Key features include hardware-aware training (supporting CUDA, MPS, ROCm), automatic export to optimized formats (TensorRT, CoreML, OpenVINO, ONNX), and seamless, one-click deployment as an active detection skill.

This skill runs a comprehensive, sequenced pipeline (Patterns 1-5) to structurally analyze a monolithic codebase. It inventories components, detects domain duplication, resolves hierarchy issues, measures inter-module coupling, and groups components into candidate, domain-aligned services. It is essential for architects planning service extraction, providing actionable metrics and DDD insights before refactoring or splitting the application.

This skill automates the validation of Navan API integrations within CI/CD pipelines. It generates robust GitHub Actions workflows to perform comprehensive tests, including token health checks, booking data schema validation, and automated compliance report generation. By integrating these checks into your push/pull request process, it ensures the stability and adherence of your Navan connection without requiring a dedicated SDK.

This skill provides comprehensive patterns for extracting and transforming Navan booking and transaction data. It addresses complex data pipeline challenges such as API pagination, date range chunking, and UUID-based deduplication. It supports both direct REST API implementation (via code examples) and configuration for managed connectors like Fivetran and Airbyte. Ideal for populating data warehouses, building robust analytics dashboards, or ensuring data quality from Navan sources.

Provides production-grade strategies for synchronizing Navan's BOOKING and TRANSACTION data into a data warehouse. This skill covers three sync tiers: weekly full-refresh with idempotent merge-upsert logic for BOOKING, watermark-based incremental sync for TRANSACTION, and real-time webhook handling for event-driven processing. Essential for building robust, scalable data pipelines using ETL patterns.

Use this guide when designing a robust, production-grade integration with the Navan API. It details a multi-layered architectural blueprint, including an API Gateway for rate limiting and circuit breaking, a centralized OAuth Token Management Service, secure data synchronization pipelines, and comprehensive monitoring stacks. Ideal for complex enterprise systems requiring reliable connectivity to travel and expense data.

A comprehensive guide detailing five validated architecture patterns for utilizing Notion as a powerful backend database. Use cases include: Headless CMS for blogging, task tracking for project management, building knowledge bases (wikis), handling form submissions, and serving as a data pipeline source. Includes schema design and code examples using TypeScript and Python.

This skill integrates the Notion API directly into CI/CD pipelines (e.g., GitHub Actions). It automates critical developer workflows such as synchronizing release notes and changelogs, updating deployment status trackers, creating incident reports automatically, and reading feature flags for configuration management. It is essential for modern DevOps practices and improving documentation synchronization.

A comprehensive guide for migrating data to, from, and between Notion workspaces. This skill covers complex data pipelines, including rate-limited bulk imports (CSV/JSON), full database exports with pagination, cross-database syncing, and data transformation patterns for integrating content from sources like Confluence and Google Docs. Essential for building robust Notion ETL workflows.

A comprehensive methodology for discovering potential software vulnerabilities. It outlines advanced techniques including static analysis, dynamic analysis, fuzzing, taint tracking, and modern attack surface mapping (e.g., kernel, drivers). Ideal for professional code audits, bug bounty hunting, and building robust vulnerability research pipelines.

This skill provides comprehensive strategies for testing OneNote integrations within CI/CD pipelines. It supports mock-only PR checks using MSW for zero-dependency testing, and robust live integration tests for nightly builds using Azure AD credentials. Ideal for automating quality assurance when connecting OneNote features via the Graph API.

This skill provides a comprehensive guide to setting up robust CI/CD pipelines for Oracle Cloud Infrastructure (OCI). It leverages GitHub Actions and Terraform to automate the deployment, planning, and testing of OCI resources. Instructions cover secure API key authentication, best practices for managing Terraform state, and crucial workarounds for known OCI provider bugs, ensuring stable and reliable cloud deployments.