Explore our collection of Agent Skills to enhance your AI workflow.
Automates the creation of structured technical research reports by mapping project data to standardized chapter templates.
Streamlines the creation of project reference materials and compliance documentation for R&D proposals and technical reports.
Standardizes multi-source web search protocols to eliminate AI hallucinations when collecting critical macroeconomic and financial data.
Implements John Bogle's investment philosophy and Vanguard’s four pillars to guide long-term, low-cost portfolio management and behavioral discipline.
Enforces regulatory compliance and diversification standards for DC-type retirement pension portfolios according to Korean financial standards.
Implements a rigorous cross-verification protocol for stock and ETF data to prevent AI hallucinations through multi-source validation.
Generates structured XML-tag mappings and scene guides for side-by-side visual comparisons and before-and-after showcases.
Generates professional, standardized image prompts for Korean national research project infographics and technical diagrams.
Standardizes the creation of domestic and international market and technology trend reports with integrated search strategies and templates.
Maintains bi-directional synchronization between implementation and documentation to eliminate documentation rot and technical debt.
Generates accurate, data-driven charts and business visualizations using Python for professional reports and analysis.
Generates standardized, high-quality retirement fund portfolio analysis reports based on long-term investment principles.
Transforms markdown prompt files into professional 4K presentation images using the Gemini API.
Implements a structured five-phase development lifecycle with multi-agent orchestration for high-velocity, test-driven software engineering.
Secures sensitive credentials and implements zero-trust injection patterns across cloud environments, Kubernetes clusters, and CI/CD pipelines.
Automates the entire GitHub release lifecycle using AI swarms for coordinated versioning, multi-platform deployment, and intelligent changelog generation.
Automates development workflows by coordinating swarm agents, managing session states, and applying intelligent pre- and post-operation hooks.
Provides production-level guidance and implementation patterns for 12 major NewSQL and distributed SQL database technologies.
Manages the complete lifecycle of Flow Nexus resources including cloud sandboxes, app deployments, and credit systems.
Calibrates Billy Milligan agents with authentic Polish developer slang, technical jargon, and distinct personality-driven speech patterns.
Automates project initialization with intelligent type detection and standardized architectural templates for multiple languages and frameworks.
Optimizes PostgreSQL performance through advanced indexing strategies, query plan analysis, and sophisticated connection pooling configurations.
Automates the creation and management of Google Cloud Platform monitoring alerts for costs, performance, and errors.
Architects and implements scalable, performant CSS systems using modern methodologies, design tokens, and advanced layout techniques.
Optimizes cloud infrastructure spending by implementing strategic rightsizing, resource lifecycle management, and rigorous FinOps best practices.
Implements nine reinforcement learning algorithms to train autonomous agents that improve through experience.
Generates comprehensive, reviewer-friendly pull request descriptions by analyzing git diffs and commit history.
Optimizes AgentDB implementations with distributed QUIC synchronization, hybrid vector search, and multi-database management patterns.
Automates SSH connections, IAP tunneling, and secure file transfers for Google Cloud Platform virtual machines.
Optimizes project task management by automating workflow activation, resolving complex dependencies, and streamlining parallel execution.
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