Design

Execute software engineer specializing in creating production-ready ADK agents with best practices, code structure, testing, and deployment automation. Use when asked to "build ADK agent", "create agent code", or "engineer ADK application". Trigger with relevant phrases based on skill purpose.

Generate gRPC service definitions, stubs, and implementations from Protocol Buffers.Use when creating high-performance gRPC services.Trigger with phrases like "generate gRPC service", "create gRPC API", or "build gRPC server".

Use when you need to work with stored procedure generation.This skill provides stored procedure code generation with comprehensive guidance and automation.Trigger with phrases like "generate stored procedures", "create database functions",or "write SQL procedures".

Generate API contracts and OpenAPI specifications from code or design documents.Use when documenting API contracts and specifications.Trigger with phrases like "generate API contract", "create OpenAPI spec", or "document API contract".

Use when you need to work with schema comparison.This skill provides database schema diff and sync with comprehensive guidance and automation.Trigger with phrases like "compare schemas", "diff databases",or "sync database schemas".

Build and evaluate classification models for supervised learning tasks with labeled data. Use when requesting "build a classifier", "create classification model", or "train classifier".

Use when you need to work with deployment and CI/CD.This skill provides deployment automation and orchestration with comprehensive guidance and automation.Trigger with phrases like "deploy application", "create pipeline",or "automate deployment".

Use when you need to work with deadlock detection.This skill provides deadlock detection and resolution with comprehensive guidance and automation.Trigger with phrases like "detect deadlocks", "resolve deadlocks",or "prevent deadlocks".

Use when you need to work with backup and recovery.This skill provides backup automation and disaster recovery with comprehensive guidance and automation.Trigger with phrases like "create backups", "automate backups",or "implement disaster recovery".

Process use when you need to work with database documentation. This skill provides automated documentation generation with comprehensive guidance and automation. Trigger with phrases like "generate docs", "document schema", or "create database documentation".

Build production-ready GraphQL servers with schema design, resolvers, and subscriptions.Use when building GraphQL APIs with schemas and resolvers.Trigger with phrases like "build GraphQL API", "create GraphQL server", or "setup GraphQL".

Validate encryption implementations and cryptographic practices. Use when reviewing data security measures. Trigger with 'check encryption', 'validate crypto', or 'review security keys'.

Use when you need to work with security and compliance.This skill provides security scanning and vulnerability detection with comprehensive guidance and automation.Trigger with phrases like "scan for vulnerabilities", "implement security controls",or "audit security".

Use when you need to work with database sharding.This skill provides horizontal sharding strategies with comprehensive guidance and automation.Trigger with phrases like "implement sharding", "shard database",or "distribute data".

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.

Native macOS/iOS app performance profiling via xctrace/Time Profiler and CLI-only analysis of Instruments traces. Use when asked to profile, attach, record, or analyze Instruments .trace files, find hotspots, or optimize native app performance without opening Instruments UI.

Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.

Refactor and review SwiftUI view files for consistent structure, dependency injection, and Observation usage. Use when asked to clean up a SwiftUI view’s layout/ordering, handle view models safely (non-optional when possible), or standardize how dependencies and @Observable state are initialized and passed.