Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.

Systematically collect, document, and validate requirements from stakeholders. Ensure clarity, completeness, and agreement before development begins to reduce scope creep and rework.

Clarify the outcome you want - a change in user behavior, not a feature shipped. Use at the start of any work to ground the session in strategic intent.

Create comprehensive technical roadmaps aligned with business goals. Plan technology investments, architecture evolution, and infrastructure improvements over quarters and years.

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Check correctness against tests, specs, or invariants; produce pass/fail evidence. Use when validating changes, testing hypotheses, checking invariants, or confirming behavior matches expectations.

Runs systematic tests on Claude Code customizations. Executes sample queries, validates responses, generates test reports, and identifies edge cases for agents, commands, skills, and hooks.

Fetch known facts or data from specified sources with citations and evidence pointers. Use when you know what you need and where to find it. Emphasizes provenance and verifiable references.

This skill should be used when the user asks to "build a mac app", "swift build", "create .app bundle", "code sign", "notarize app", "xcode-free development", or needs guidance on SwiftUI macOS...

Build binary and multiclass classification models using logistic regression, decision trees, and ensemble methods for categorical prediction and classification

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM...

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM...

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM...

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM...

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM...

Build production ML systems with PyTorch 2.x, TensorFlow, and

Build production ML systems with PyTorch 2.x, TensorFlow, and

Guidelines for creating high-quality Freenet pull requests. This skill should be used when creating PRs for freenet-core, freenet-stdlib, or related repositories. Emphasizes quality over speed,...

Build production ML systems with PyTorch 2.x, TensorFlow, and

Build production ML systems with PyTorch 2.x, TensorFlow, and