Skill UI

This comprehensive guide provides a structured roadmap for migrating logistics operations from legacy sources (e.g., spreadsheets, old APIs, ERPs) to the modern Flexport API. It details advanced architectural patterns such as the Strangler Fig pattern, product catalog migration, dual-write implementation, and phased cutover strategies, ensuring a smooth and reliable transition for complex supply chain digitization.

This skill serves as a comprehensive entry point for initiating new development work. It systematically analyzes project metadata (specs, roadmaps) to determine the optimal work decomposition path (new spec, existing extension, or simple fix). By conducting deep context loading and guiding structured dialogue, it refines vague ideas into clearly defined, actionable scope boundaries. Finally, it proposes multiple concrete technical approaches, complete with trade-offs and estimates, ensuring the resulting project scope is well-defined and ready for implementation.

This skill provides implementation patterns for integrating with the Procore platform using its REST API. It is designed for cost tuning functionalities, which are essential for comprehensive project management, handling Requests for Information (RFIs), and managing submittals within complex construction environments. It covers OAuth2 authentication flow and provides practical API call examples.

A comprehensive guide and implementation pattern for integrating with the Procore platform using its REST API. This skill supports advanced project management workflows in construction, enabling users to automate tasks such as managing Requests for Information (RFIs), handling submittals, and interacting with company data via OAuth2 authentication. Use this when developing custom tools or scripts that require deep access to Procore project data.

A comprehensive guide for optimizing API calls and performance tuning within the Procore construction management platform. Learn implementation patterns using OAuth2 and the REST API to efficiently handle critical project management tasks, such as RFIs, submittals, and general project data retrieval.

This guide provides essential implementation patterns and solutions for common API errors encountered when integrating with the RemoFirst platform. It addresses critical functions like global HR management, Employer of Record (EOR), and payroll processing, ensuring stable and compliant data handling for international employment scenarios.

This checklist guides the implementation and integration process for RemoFirst, a comprehensive global HR, EOR (Employer of Record), and payroll platform. It provides API patterns and best practices for managing global employment compliance, retrieving employee data, and ensuring a smooth production setup across diverse international jurisdictions.

This skill provides secure API integration patterns and implementation details for RemoFirst, a platform managing global HR, EOR, and payroll services. Use this when automating complex global employment workflows, retrieving employee data, or ensuring multi-jurisdictional payroll compliance.

This skill takes large plans, specifications, or Product Requirement Documents (PRDs) and systematically breaks them down into small, independently verifiable, and actionable GitHub issues. Utilizing the 'vertical slice' (tracer bullet) methodology, it ensures that each generated task cuts through all integration layers (UI, API, Schema, Tests) end-to-end. It manages dependencies, identifies required human interaction (HITL) versus autonomous implementation (AFK), and prepares a structured, executable backlog ready for immediate ticketing.

This skill synthesizes a comprehensive Product Requirements Document (PRD) from the current conversation context and understanding of the codebase. It guides the user through structuring the problem statement, defining detailed user stories, outlining implementation decisions, and suggesting test strategies. The final PRD is formatted and submitted directly as a GitHub issue, ensuring a structured handover from discussion to development specification.

Provides C-level strategic guidance for startups deciding on advanced AI implementation. Covers critical decisions including model build-vs-buy analysis (API vs. fine-tune vs. in-house), regulatory compliance risk assessment (EU AI Act, NIST RMF), economic modeling for self-hosting breakeven, and optimal AI team scaling. This is a high-level advisory tool, not a tactical engineering guide.

This expert framework guides users through the systematic process of conducting rigorous A/B tests and growth experiments. It covers all stages: formulating strong hypotheses, selecting appropriate metrics (primary, secondary, guardrail), calculating necessary sample sizes, and choosing the best implementation method (client-side vs. server-side). Use this when planning to compare two versions or build a systematic growth experimentation program.