Browse skills

Helps with performance optimization, monitoring as part of orchestrating AI agents and multi-step workflows workflows.

Automatically adjusts ruvnet agent parameters to maximize efficiency and output quality based on real-time performance data.

Analyzes ruvnet agent performance metrics like accuracy, latency, and resource usage to identify optimization opportunities.

Automatically assesses ruvnet agent performance across key metrics, providing actionable insights for optimization and improvement.

Analyzes images and videos to extract data, identify objects, and provide actionable insights for automated workflows.

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

This skill builder allows you to easily create and manage custom skills for AnyLLM agents, streamlining workflow automation and expanding their capabilities.

Agentic Development guides you to build and refine your AI agent skills through structured prompts & iterative feedback for optimal performance.

Uv Find Skills locates relevant skills within a project, streamlining workflow and accelerating task completion for efficient development.

Molty-Assistant's memory agent stores, retrieves, and summarizes past conversations for context and improved future interactions.

Analyzes scripts for clarity, consistency, and potential audience engagement using advanced language models.

Designs and optimizes complex multi-agent systems using advanced reinforcement learning and emergent behavior strategies.

This skill enables complex interactions with external tools, streamlining workflows and automating tasks for enhanced efficiency.

Suggests relevant industry experts and resources based on your project's needs, powered by CNN data.

Creates detailed markdown files describing PC-style agents, including stats, abilities, and background stories.

This skill template streamlines agent creation by providing a structured VCR-style approach for building consistent and effective conversational flows.

Analyzes code for bugs, vulnerabilities, and style issues using advanced static analysis techniques.

Identifies potential conflicts and synergies between multiple active agents to optimize team performance.

Automatically creates comprehensive documentation for your agent's functionality, inputs, outputs, and usage based on code and prompts.

Generates new AI agent skills based on provided descriptions, expanding capabilities and automating development workflows.

Kyldvs's create-subagents generates specialized AI assistants to tackle complex tasks through automated delegation and coordination.

Automates coordinated release deployments across multiple environments using a swarm of agents, minimizing downtime and risk.

Automatically detects, diagnoses, and corrects common errors in agent execution to maintain task progress.

Helps with frontend development, patterns as part of software development workflows workflows.