Use when discussing or working with DeepEval (the python AI evaluation framework)
AI & LLM
LLM integrations, prompt engineering, and AI orchestration
Use when distributing independent tasks across multiple AI coding assistants in parallel. Triggers include "fork...
Search for and install Agent Skills that give you specialized capabilities. Before starting work, ask might a skill...
Query codebases semantically using LLMs. Use when asking questions about libraries, frameworks, or source code —...
My catalogue of Skills.md
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Expert knowledge for developing, building, and debugging Substreams projects on any blockchain. Use when working...
Comprehensive guide for building, configuring, and deploying Legacy Agentforce GenAiPlannerBundles. Use when...
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Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and...
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture,...
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers...
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works...
Expert in multi-agent orchestration with ALL 11 MCP servers. Designs complex agentic pipelines, parallel execution,...
Ultimate AGI-level autonomous agent with FULL MCP integration. Expert in multi-step reasoning, self-improvement,...
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and...
Expert in AI/ML with ALL MCP servers. Uses UltraThink for model analysis, Memory for experiment tracking, Context7...
🎯 AI Orchestrator - Ultimate natural language to expert prompt translator. Analyzes intent with UltraThink, routes...
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser...
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and...