Browse skills

jzocb's agent-guardrails enforces safety protocols and ethical boundaries within your AI agent’s interactions.

Rapidly optimizes agent performance through automated configuration and resource allocation based on webdevcody's expertise.

Refactors Markdown documents into cleaner, more structured formats using advanced AI parsing and semantic understanding.

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

This skill integrates Home Assistant apps into your voice interface for seamless control of your smart home devices.

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

Kyldvs's create-agent-skills allows you to define custom skills for your AI agent, enhancing its capabilities.

Generates new, detailed agent skills based on provided descriptions and desired functionalities for enhanced agent capabilities.

Automatically generates new, functional skills for AI agents based on provided descriptions and desired capabilities.

Automatically generates new, functional agent skills based on provided descriptions and desired capabilities.

Sec Orchestrator — provides AI agent assistance for software development workflows.

Provides mobile development guidance and assistance for software development workflows.

Provides full-stack development guidance and assistance for software development workflows.

Provides deployment guidance and assistance for software development workflows.

Evaluates agent performance based on provided metrics, offering actionable insights for improvement and optimization.

Evaluates AI agent performance based on provided JPG images and data, offering actionable improvement suggestions.

Evaluates agent performance across defined metrics, providing detailed reports and actionable improvement suggestions.

Optimize FrankxAI agents' performance by adjusting internal parameters for improved speed, accuracy, and resource utilization.

Analyzes OpenClaw game states to suggest optimal actions minimizing resource consumption and maximizing reward.

Cleanexpo's agent-discovery identifies relevant internal experts and resources to address user requests quickly and accurately.

Generates, debugs, and optimizes Python code using LangChain and LangGraph for complex AI workflows.

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

The Error Coordinator intelligently manages and resolves errors across workflows, boosting efficiency and minimizing disruptions for smoother operations.

Provides AI agents guidance and assistance for software development workflows.