Browse skills

Creates a basic file system structure for a new OS instance, streamlining initial setup and ensuring a foundational directory layout.

This skill monitors and manages your bot’s performance, ensuring smooth operation & optimal results by tracking key metrics and triggering alerts.

Enforces zero trust principles across systems, verifying every request and user based on ajbcoding's moai-security framework.

M11 Ecosystem provides detailed information and analysis of the Matrix universe, useful for worldbuilding and lore exploration.

Analyzes backend service dependencies via call graphs to identify bottlenecks and potential failure points within thurbeen systems.

Generates, debugs, and optimizes Rust code for core system components and low-level programming tasks.

Analyzes complex data traits and dependencies within systems to identify vulnerabilities and optimize performance.

Analyzes server logs to proactively identify and mitigate emerging rust-related vulnerabilities, improving system stability.

Generates, debugs, and optimizes Rust code for embedded systems, handling device drivers and resource constraints.

The Ecosystem skill aggregates relevant information from various sources to provide a holistic view and deeper insights for your queries.

Generates robust, production-ready TypeScript code adhering to CMYK color standards and best practices for backend systems.

Identifies common architectural patterns to ensure your system can handle increasing load and user demand efficiently.

Evaluates agent performance across diverse tasks using a robust scoring system and detailed qualitative feedback.

Generates Vue.js components and file system structures based on provided specifications for rapid frontend development.

Efficiently retrieves and processes data from backend systems using structured queries, streamlining workflows and providing insights.

Designs, builds, and debugs scalable backend systems using Python, Go, and cloud technologies for Wasintoh's applications.

Designs, builds, and debugs robust, scalable backend systems using Python/Node.js, focusing on clean code and architectural best practices.

Designs scalable, robust backend systems using Go, PostgreSQL, and Kubernetes based on Herdiansah's architectural expertise.

Systematically identifies and isolates software bugs using LGBarn's advanced analysis and automated debugging techniques.

This skill automates the process of containerizing applications as Docker images, streamlining deployment and ensuring consistent environments across systems.

Visualize and analyze axiom code performance metrics, identifying bottlenecks and optimization opportunities within the system.

Analyzes system performance data to identify bottlenecks and suggest optimization strategies for improved efficiency.

Analyzes system resource usage to identify performance bottlenecks and suggest optimization strategies.

Optimizes task execution speed and resource usage based on real-time performance metrics and system load.