Browse Skills

Create new AntinomHQ agents with custom configurations, roles, and initial instructions via a simple API call.

Provides MCP tools guidance and assistance for orchestrating AI agents and multi-step workflows.

Quickly identifies and suggests fixes for common coding errors in Python using a first attempt debugging approach.

This Skill Creator allows you to easily build custom agent skills by defining their actions and parameters, streamlining automation workflows.

Provides AI agents guidance and assistance for software development workflows.

Provides AI agents guidance and assistance for software development workflows.

Helps with backend development, API as part of orchestrating AI agents and multi-step workflows workflows.

Builds functional web applications from design to deployment, handling frontend, backend, and database integration.

Provides code review guidance and assistance for software development workflows.

Provides AI agents guidance and assistance for software development workflows.

Provides AI agents guidance and assistance for software development workflows.

Provides AI agents guidance and assistance for software development workflows.

Provides AI agents guidance and assistance for software development workflows.

Provides AI agents guidance and assistance for software development workflows.

Provides AI agents guidance and assistance for software development workflows.

Provides AI agents guidance and assistance for software development workflows.

This Skill Creator allows you to easily generate new agent skills with customizable parameters, streamlining your automation workflows and boosting efficiency.

Evaluates agent performance across diverse tasks using metrics like accuracy, efficiency, and robustness for actionable insights.

Automates security policy enforcement, vulnerability scanning, and incident response within your cloud environment.

Ruvnet's agent-performance-benchmarker automatically assesses agent capabilities across diverse tasks, providing quantifiable performance metrics.

Optimizes application performance through automated profiling, bottleneck identification, and code improvement suggestions.

Ruvnet's agent-code-review-swarm automatically identifies bugs, security flaws, and style issues in code via collaborative AI review.

Analyzes code for bugs, style violations, and potential improvements using static analysis tools and best practices.

This skill rapidly builds robust infrastructure agent workflows by defining interconnected tasks and dependencies, streamlining automation deployment.