Search Skills

Manages data persistence and retrieval through file system operations, ensuring reliable data storage and integrity without in-memory dependencies.

AI-powered engine for executing and testing code snippets in real-time during development workflows.

Enables local meeting simulations with multi-role collaboration for team practice and workflow efficiency.

Provides data persistence through file system as exclusive storage layer, ensuring data integrity and reliability.

Offers a structured index of company development standards and an anti-pattern library to enhance knowledge sharing and prevent common implementation pitfalls.

Simplifies code by applying the KISS principle and Linus Torvalds' coding style guidelines to improve readability and maintainability.

Enables deep reasoning and step-by-step problem decomposition using first principles to analyze complex issues and synthesize fundamental truths.

Automates continuous checking and updating of learning project documentation to maintain current knowledge.

Enables seamless project context persistence across user sessions, maintaining state for uninterrupted workflow continuity.

Provides an execution engine for Google's Gemini AI model, enabling seamless integration and deployment of Gemini-based AI capabilities.

Provides service analysis including business, architecture, and operations insights to aid onboarding and understanding service boundaries in a codebase.

Enables efficient technical documentation queries and in-depth research on software frameworks and libraries.

Manages persistent state across sessions using dual-track storage for context restoration and synchronization in applications.

Provides browser debugging and testing capabilities, activated exclusively upon user request for web development tasks.

Provides a five-phase project management methodology (Research, Innovate, Plan, Execute, Review) extended to nine steps for comprehensive project lifecycle management.

Manages development patterns for retrieval and deposit, integrating with continuous learning for automatic pattern extraction and knowledge base updates.

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

Fetches up-to-date, version-specific documentation for external libraries and frameworks to prevent API hallucinations during code development.

Enforces human confirmation at critical AI decision points to prevent autonomous progression, ensuring safety and collaboration.

Core verification loop for quality assurance in software development, ensuring reliability and correctness through systematic validation.

Centralized tool for executing code and managing all code modifications within development workflows.

Protocol for synchronizing and coordinating multiple large language models (LLMs) to enable seamless collaborative AI workflows.

Coordinates task delegation, context handoff, and result synchronization across multiple AI engines (Claude, Codex, Gemini) using orchestrator.yaml.

Enables cross-session persistence of project context and state, maintaining continuity for iterative workflows.