Search Skills

Automates code refactoring and complexity reduction using AI-driven analysis and industry best practices across 25+ programming languages.

Generates LLM-optimized, compressed codebase context for developers to quickly understand architecture, dependencies, and project structure across 25+ languages.

Analyzes code quality, complexity, and technical debt across 25+ languages using PMAT, providing cyclomatic complexity and maintainability metrics.

Performs unified quality assessment across polyglot codebases, identifying cross-language integration patterns and language-specific violations using PMAT.

Tracks and quantifies technical debt via SATD annotations, providing prioritization, repayment tracking, and reporting for development teams.

Sets up NX monorepo for TypeScript backend projects with AI-assisted development optimization, minimizing manual configuration.

Guides developers through TDD cycles with enforced red-green-refactor steps for test-first development.

Assists developers in applying tactical domain-driven design patterns for code design, refactoring, and analysis.

Comprehensive data visualization skill for building charts, graphs, and dashboards with guidance on chart selection, layout algorithms, and library implementation.

Enables instant persona switching using natural language triggers and configuration file integration.

Provides evidence-based design analysis across 8 dimensions, offering actionable refactoring suggestions with file:line references.

Enforces structured code organization using features, platform, and shell directories to improve maintainability and clarity during development.

Conducts independent research using WebFetch and WebSearch to validate solutions, test ideas, and deliver evidence-based recommendations without external queries.

Automates creation of well-structured engineering tasks from requirements, PRDs, and feature breakdowns for actionable implementation.

Provides a systematic debugging methodology that uses instrumentation to gather specific data, eliminating guesswork and ensuring evidence-based problem resolution.

Provides principles for writing effective, maintainable tests with best practices in naming, assertions, and edge case coverage based on BugMagnet methodology.

Automates task workflow progression by checking session status and routing based on state, without auto-advancement or external commits.

Forces critical evaluation of business proposals and decisions through adversarial perspective analysis to prevent over-acceptance.

Generates professional, skeptical communication that verifies before agreeing, challenges constructively, and proposes solutions rather than seeking preferences.

Ensures questions are answered literally, preventing misinterpretation as instructions or criticism in conversational AI.

Automates a three-phase design review process by chaining specialized subagents for architecture, refinement, and critique.

Enforces concise, actionable outputs by eliminating verbosity and filler, ensuring documentation and responses are signal-focused and maximally efficient.

Applies object-oriented design principles (e.g., dependency inversion, fail-fast) during code refactoring and design reviews to enhance code quality.

Guides developers through code analysis for bug fixes, features, and refactoring by tracing execution paths and verifying understanding with lightweight diagrams and user confirmation.