Search Skills

Manages knowledge separation between project-specific context and general knowledge for enhanced AI-driven information retrieval and system efficiency.

Enables efficient technical documentation queries and framework/library research for developers and technical teams.

Applies first principles analysis to deconstruct complex problems into fundamental truths for rigorous research and decision-making.

Manages Work Breakdown Structure (WBS) tasks and supports planning for multiple project paths (B and C) during project initiation phase.

Enforces high code quality through Linus-style reviews, emphasizing simplicity, naming, error handling, and maintainability with automated verification.

An AI-powered code execution engine enabling developers to run and test code snippets with intelligent assistance.

Core verification loop for quality assurance in software development processes.

Enables checkpoint-based code verification, saving checkpoints, and evaluating implementations against acceptance criteria.

Enables multi-role virtual meetings with integrated task analysis and planning for streamlined business operations and project execution.

System that learns from software errors to prevent recurrence and enhance code quality by remembering past issues.

Executes code snippets for immediate feedback, enabling rapid development and debugging in software engineering contexts.

Manages session state to persist workflow across user sessions, ensuring seamless continuity without data loss.

Provides semantic code search to find relevant code snippets by meaning, enhancing developer productivity and code discovery.

Provides standardized Git workflow guidelines including branch strategies and commit message conventions for team collaboration.

Provides a centralized index of company standards and an anti-pattern library for quick reference and knowledge sharing among development teams.

Execution engine for Google Gemini AI model, enabling integration and deployment of AI capabilities.

Enables meaning-based code search within repositories to locate relevant snippets, reducing manual code navigation and improving development efficiency.

Automates extraction of reusable code patterns, debugging solutions, and architectural decisions from coding sessions for future use.

Manages command execution lifecycles with hook functions, supports interruption recovery, and enables continuous learning for AI agents.

Simulates local meetings with multi-role collaboration for practice and planning, enhancing meeting efficiency and team coordination.

AI-powered UI/UX design assistant offering 50 styles, 21 palettes, and framework-specific code templates for modern interfaces.

Optimizes Next.js and React application performance in alignment with ARC standards, enhancing load times and user experience.

Prevents sequential API and frontend execution bottlenecks by enabling parallel processing through optimized async patterns.

Optimizes frontend JavaScript bundles through tree-shaking, lazy-loading, and strategies to minimize bundle size for improved performance.