Browse skills

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.

Fusion Skill Authoring enables rapid creation of complex, reusable skills by combining existing assets – boosting efficiency and standardization.

Simulate agent interactions in a controlled environment to test strategies and debug behavior safely before deployment.

Continuously refines its problem-solving abilities through iterative learning and data analysis for optimal task performance.

Analyzes agent interactions to identify performance bottlenecks, suggest improvements, and optimize ruvnet agent workflows.

Helps with MCP tools, server as part of orchestrating AI agents and multi-step workflows workflows.

This tool seamlessly synchronizes documents across platforms, ensuring everyone works with the latest version and eliminating confusion.

Rapidly prototype custom agent skills using natural language prompts, streamlining development workflows via ravnhq's innovative tool.

Analyzes code snippets for potential bugs, security vulnerabilities, and style inconsistencies using advanced static analysis techniques.

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

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

Helps with data, machine learning, data modeling as part of orchestrating AI agents and multi-step workflows workflows.

Skill Memory retains and recalls past interactions for contextually richer conversations and more personalized responses.

Ruvnet's agent-user-tools enables agents to seamlessly access and utilize user-defined tools for task completion.

Helps with creation, MCP tools as part of orchestrating AI agents and multi-step workflows workflows.

Automates coordinated deployment of microservices across environments using a swarm release strategy from ruvnet.

Optimizes network infrastructure layouts and resource allocation within virtual environments for peak performance using ruvnet's AI.

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

Skill Guard proactively monitors and flags potentially harmful or inappropriate user inputs, enhancing safety and responsible AI interaction.

Efficiently organizes, tracks, and optimizes tool usage across projects, minimizing waste and maximizing productivity.

This skill automatically finds relevant tools within your workflow based on context, boosting productivity and streamlining tasks.

This Skill Developer helps you quickly build and customize AI agent skills tailored to your specific needs, boosting productivity and automation.

Ruvnet's agent-reviewer analyzes agent conversations, identifying areas for improvement in response quality and adherence to guidelines.