Skill UI

This tool generates comprehensive API contracts and OpenAPI specifications (3.0/3.1) from existing codebases, design documents, or schemas. It establishes a single source of truth for APIs by producing machine-readable contracts, supporting documentation, robust testing (including consumer-driven testing via Pact), and code generation. Use it when you need to define, verify, and document complex service interfaces.

Generates realistic users, products, orders, or schema-driven data via the test-data-generator plugin for populating test databases, simulating user behavior, and creating fixtures for automated or API testing.

This expert tool orchestrates the complete onboarding experience for new team members in technical or remote-first organizations. It provides a structured roadmap covering pre-arrival preparation (access setup, documentation), Day 1 orientation, technical stack immersion (CI/CD, codebases), and cultural integration (buddy system). Use this when you need a comprehensive, step-by-step guide to rapidly transition new hires into productive, integrated team members.

Curated guidelines covering idiomatic Go error handling, interface design, concurrency patterns, context propagation, testing, and module management for reliable team codebases.

Automatically assists backend developers with gRPC service generation, offering best-practice patterns, multi-language scaffolds for Node.js, Python, Go, and validating configs for databases, caching, and messaging to stay production-ready.

Analyzes smart contract codebases against Trail of Bits development guidelines, covering documentation, architecture, upgradeability, proxy patterns, implementation quality, dependencies, and testing to deliver prioritized recommendations and actionable improvements.

Generates and implements backup strategies for databases and applications, producing configuration files and automation scripts that ensure secure, scalable protection and disaster recovery readiness across platforms.

Implements robust Role-Based Access Control (RBAC) for Juicebox, an AI-powered platform for recruiting and sales. This system defines granular permissions for various roles (Admin, Recruiter, Analyst, etc.), controlling access to sensitive candidate databases, data enrichment capabilities, outreach functions, and data export. It ensures data governance, maintains compliance (e.g., SOC 2), and segments user access based on job function and need-to-know principles.

Automated backend guidance for Kafka producer and consumer workflows, offering best practices, code samples, and configuration help for Node.js, Python, Go, databases, caching, messaging, and microservices scenarios.

This comprehensive guide details the end-to-end process of building Retrieval-Augmented Generation (RAG) pipelines using LangChain. It covers critical steps: loading diverse document types (PDF, CSV, TXT), splitting text into manageable chunks, generating high-quality embeddings (OpenAI), storing them in various vector databases (FAISS, Pinecone), and finally constructing the full runnable chain for accurate and context-aware querying.

This comprehensive guide walks developers through migrating complex LLM codebases from raw SDK calls (OpenAI, Anthropic) or legacy frameworks (LlamaIndex) to the structured LangChain framework. It covers code assessment, pattern-by-pattern migration, advanced agent construction, robust tool calling, and transforming custom RAG pipelines into scalable, standardized chains.

Provides a senior migration architect workflow that researches legacy codebases, maps bounded contexts, and writes Strangler Fig-based modernization roadmaps so other teams can incrementally reshape systems.