Browse skills

Stores, retrieves, and organizes complex information across extended conversations for improved context and recall.

Designs and optimizes multi-agent systems, defining roles, communication protocols, and workflows for complex tasks.

Davila7's memory systems enable agents to store, retrieve, and utilize complex information across extended interactions for improved performance.

This skill quickly finds information about any skill within the system, streamlining research and understanding capabilities.

Generates Incept5-compatible agent configurations and workflows directly within the Eve ecosystem for streamlined deployment.

This AI agent leverages ToolUniverse’s Systems Biology tools for complex biological data analysis and modeling, accelerating research insights.

This tool quickly constructs capability graphs to visualize and understand complex systems, streamlining analysis & decision-making.

Provides design guidance and assistance for software development workflows.

Automatically creates detailed skill descriptions for subsystem agents within a llama-farm orchestration framework.

Helps with MCP tools, creation, design as part of software development workflows workflows.

Generates custom AI skills based on provided descriptions, enabling tailored functionality within the ronnycoding ecosystem.

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

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

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

Predicts optimal upgrade paths for fellipeutaka's systems based on current performance and future goals.

This skill creates a reproducible log harness for debugging issues by systematically capturing and organizing relevant log data.

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effe

Use this skill when designing, generating an MVP blueprint for, auditing, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, permissions, system prompts, planning, goals, context compaction, memory, skills, MCP/external connectors, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.