AI Agents & Systems — AI Agents, Skills & Tools
Agents, skills, guides, tools, and commands for ai agents & systems — 14 curated resources for building with AI coding agents.
Agent Tool Integration Engineer
Use this agent to wire tools and function-calling into an agent loop reliably — clean tool schemas, errors fed back as observations, retries with limits, idempotency, and parallel calls. Examples — "connect our APIs as agent tools", "our agent calls tools wrong / ignores tool errors", "add function-calling with proper error recovery to our agent".
Agent Reliability Reviewer
Use this agent to make an AI agent production-ready — reviewing its loops, cost controls, error handling, tool use, human-in-the-loop gates, checkpointing, and observability, then reporting concrete failure modes and fixes. Examples — "is our agent safe to ship?", "our agent loops forever / burns tokens, harden it", "add guardrails and recovery before we put this agent in front of users".
Tool Definition Generator
Generate clean function/tool schemas for an LLM agent from existing code or a spec — accurate JSON Schema, model-facing descriptions, honest required fields, and enums that make invalid calls impossible. Use when wiring functions into an agent's tool-calling loop.
Human In The Loop Gate
Add a human approval checkpoint to an agent so it pauses before a risky or irreversible action (spending money, deleting data, sending messages, merging code) and resumes only after a human approves. Use when an agent acts autonomously on consequential operations.
Which Agent Framework in 2026? LangGraph vs CrewAI vs AutoGen vs OpenAI Agents SDK vs Claude Agent SDK
A decision guide to the major AI agent frameworks — control vs. abstraction, multi-agent models, state and durability, and which fits your project.
Agent Memory Architecture: Short-Term, Long-Term, and When to Use Each
How AI agents remember — working memory vs. persistent long-term memory, what to store, how to retrieve it, and how to keep context small.
Production Tool & Function Calling: Feed Errors Back as Observations
How agents use tools — the call/observe/retry loop, why errors must return to the model, and the schemas, idempotency, and limits that keep it reliable.
AgentOps
Observability for AI agents — session replay, cost and latency tracking, and debugging for multi-step runs.
AutoGen (AG2)
A multi-agent conversation framework where agents collaborate via message-passing, with group chat and code execution.
CrewAI
A Python framework for orchestrating role-playing AI agents as collaborating 'crews', plus event-driven flows.
LangGraph
A low-level library for building stateful, controllable agents as graphs, with checkpointing and human-in-the-loop.
Mem0
A memory layer for AI agents and apps — persistent, personalized long-term memory across sessions.
OpenAI Agents SDK
OpenAI's lightweight, open-source framework for agents — handoffs, guardrails, sessions, and built-in tracing.
Add Human Approval Step
Scaffold a human-in-the-loop approval gate into an agent so it pauses before a consequential action and resumes after approval.