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Found 973 Skills
Use when writing, reviewing, or refactoring code for maintainability and readability. Triggers on code reviews, naming discussions, function design, error handling, and test writing. Based on Robert C. Martin's Clean Code handbook.
Use when Code implementation and refactoring, architecturing or designing systems, process and workflow improvements, error handling and validation. Provide tehniquest to avoid over-engineering and apply iterative improvements.
Apply when writing, modifying, or reviewing code. Behavioral guidelines to reduce common LLM coding mistakes. Triggers on implementation tasks, code changes, refactoring, bug fixes, or feature development.
Manage technical debt by producing a Tech Debt Management Pack (debt register, scoring/prioritization, refactor vs rewrite decision memo, incremental paydown plan, migration/rollback plan, metrics, and stakeholder cadence). Use for tech debt, refactoring, legacy modernization, and migrations.
Comprehensive code review covering security vulnerabilities, performance bottlenecks, best practices, and refactoring opportunities. Use when user requests code review, security audit, or performance analysis.
Comprehensive patterns for building AI-powered code generation tools, code assistants, automated refactoring, code review, and structured output generation using LLMs with function calling and tool use. Use when "code generation, AI code assistant, function calling, structured output, code review AI, automated refactoring, tool use, code completion, agent code, " mentioned.
Domain-Driven Design system for software development. Use when designing new systems with DDD principles, refactoring existing codebases toward DDD, generating code scaffolding (entities, aggregates, repositories, domain events), facilitating Event Storming sessions, creating bounded context maps, or performing code reviews with a DDD lens. Covers both strategic design (bounded contexts, subdomains, context maps, ubiquitous language) and tactical design (entities, value objects, aggregates, domain services, repositories). Supports all major architecture patterns (Hexagonal/Ports & Adapters, CQRS, Event Sourcing, Clean Architecture) with language-agnostic guidance and concrete examples in Python and TypeScript.
Applies tests-first discipline (red/green/refactor) and adds regression tests for bugs. Use when implementing features, fixing bugs, or refactoring.
Guide Test-Driven Development workflow (Red-Green-Refactor) for new features, bug fixes, and refactoring. Identifies test improvement opportunities and applies pytest best practices. Use when writing tests, implementing features, or following TDD methodology. **PROACTIVE ACTIVATION**: Auto-invoke when implementing features or fixing bugs in projects with test infrastructure (pytest files, tests/ directory). **DETECTION**: Check for tests/ directory, pytest.ini, pyproject.toml with pytest config, or test files. **USE CASES**: Writing production code, fixing bugs, adding features, legacy code characterization.
IntelliJ-IDEA MCP provides powerful IDE features including running tests, code analysis, refactoring, search, and project navigation. Use this when you need accurate Java code analysis (avoiding LSP false positives), running tests via IDEA configurations, refactoring symbols, or exploring codebase structure. Key commands: execute_run_configuration (run tests), get_file_problems (accurate errors/warnings), search_in_files_by_text (search code), list_directory_tree (view structure), get_file_text_by_path (read files), rename_refactoring (safe refactoring), execute_terminal_command (run shell commands).
This skill analyzes code for design quality improvements across 8 dimensions: Naming, Object Calisthenics, Coupling & Cohesion, Immutability, Domain Integrity, Type System, Simplicity, and Performance. Ensures rigorous, evidence-based analysis by: (1) Understanding code flow first via implementation-analysis protocol, (2) Systematically evaluating each dimension with specific criteria, (3) Providing actionable findings with file:line references. Triggers when users request: code analysis, design review, refactoring opportunities, code quality assessment, architecture evaluation.
Language-agnostic guidance for selecting and applying Gang of Four (GoF) design patterns to recurring object-oriented design problems. Use when deciding among design alternatives, evaluating applicability and tradeoffs, or refactoring rigid/conditional-heavy designs toward better extensibility and lower coupling. Do not use for trivial bug fixes, framework/tool setup, or tasks with no architectural decision. Any TypeScript examples are illustrative only and must be translated to the project's language and constraints.