Skill UI

A framework for building production-ready, low-latency, multimodal AI agents. It allows developers to orchestrate complex pipelines that seamlessly handle real-time audio, video, and text data. Key capabilities include integrating multiple AI services (LLMs, STT, TTS), managing conversation context, and enabling tool use and function calling for advanced, interactive AI applications.

A relationship-aware gift engine that determines whether a personalized gift should be created, then uses a five-stage creative pipeline (editorial judgment, synthesis, concept generation, visual strategy, rendering) to produce H5, image, or video gifts with anti-repetition and taste profiling.

Expert data engineer specializing in scalable data pipelines, modern data warehouses, lakehouse architectures, and real-time streaming. Proficient in Apache Spark, dbt, Airflow, Kafka, and cloud-native platforms (AWS, Azure, GCP). Focuses on reliable, performant, and cost-effective data solutions with strong emphasis on data quality and governance.

Design scalable, reliable and cost-effective batch and streaming data pipelines. Covers ETL/ELT, Lambda, Kappa and Lakehouse patterns, Airflow/Prefect orchestration, dbt and Spark transformations, Delta Lake/Iceberg storage, data quality checks and cost optimization.

This comprehensive workflow guides the entire database lifecycle, from initial architecture design (covering both SQL and NoSQL) to advanced implementation, optimization, and maintenance. It covers crucial stages like schema design, implementing migrations, optimizing query performance, developing robust data pipelines (using tools like Airflow and dbt), and managing data quality and operations. Ideal for engineers building complex, production-grade data systems.

Scan third-party package dependencies for known security vulnerabilities using tools like Snyk, Dependabot, and OWASP Dependency-Check. Essential for software composition analysis, supply chain security, and meeting compliance requirements. Automates vulnerability detection in CI/CD pipelines.

This guide outlines advanced architectural patterns for building multi-stage CI/CD pipelines. It covers best practices for implementing robust deployment gates, including manual approvals, time-based triggers, and multi-approver workflows. It details various deployment strategies like Rolling, Blue-Green, and Canary releases, ensuring controlled, zero-downtime, and highly reliable software releases.

A comprehensive guide and template for deploying applications from idea to production. It covers modern DevOps practices, including containerization with Docker, robust CI/CD workflows using GitHub Actions, and infrastructure management with AWS SAM and Terraform. Includes setup for monitoring, health checks, and scalable cloud deployments.

This skill specializes in creating comprehensive and maintainable documentation directly from codebases. It generates API docs, architecture diagrams, user guides, and technical references using AI-powered analysis. Ideal for building documentation pipelines, standardizing documentation across repositories, and ensuring living documentation stays synchronized with code changes while adhering to industry best practices.

Build reliable and maintainable end-to-end test suites to ensure code quality, catch regressions early, and validate critical user workflows across browsers and environments. Ideal for CI/CD pipelines and automation strategies.

Generate workflow JSON files for chaining AI models. This skill provides guidance and patterns for creating structured workflows that link multiple AI models in sequence, enabling complex multi-step AI pipelines.

Search live AU/NZ government tenders, rank them against a company's capabilities, and explain relevance with gap analysis. Ideal for business development, market research, and bid pipeline maintenance.