AI Agents AI prompts
Agentic workflows, multi-agent systems, MCP tools, Claude Code and autonomous AI assistants. Best for designing reliable single and multi-agent systems, wiring tools, MCP servers, and coding agents like Claude Code, adding evaluation and guardrails before agents touch production.
17
In this category
All of them
Free to copy
5
Subcategories
3
Difficulty levels
Every prompt below is open. Copy it straight into ChatGPT, Claude, or Gemini.
Guide
AI agents guide
Open the guide that shows how this prompt category fits into a broader workflow.
Role path
Agent builder path
See how this category fits into a role-based AI workflow instead of using prompts in isolation.
Generator
Generate prompt variants
Use the prompt generator when you know the job to be done but not the exact prompt structure yet.
Course path
Course library
Move into structured lessons when you want a repeatable system, not only a single prompt.
Choose the closest workflow
Filter by subcategory and difficulty first. That usually gets you to the right prompt faster than scrolling the full list.
Filtered prompts
3 prompts match the current filters
Design an MCP Server to Expose Internal Tools to an Agent
Plan a Model Context Protocol server that safely exposes your internal data and actions as tools an agent can call.
Best for
Get a concrete MCP server design — tools, resources, auth, and limits — so agents in Claude, Claude Code, or other MCP clients can use your systems.
Write Tool Descriptions a Model Will Actually Use Correctly
Rewrite ambiguous tool/function definitions so an agent reliably selects the right tool with the right arguments.
Best for
Reduce wrong-tool and bad-argument errors by making each tool's name, description, and parameter docs unambiguous to the model.
Build a Retrieval (RAG) Tool an Agent Can Query
Design a retrieval tool that returns grounded, citable chunks so an agent answers from your data instead of guessing.
Best for
Give an agent a clean retrieval interface — query in, ranked passages with sources out — that minimizes hallucination.
Every prompt here is free. The course teaches the thinking behind them.
Copy as many prompts as you like. When you want to move from single prompts to a repeatable AI workflow, Learn AI in 30 Days walks through it, one day at a time.
Buy the course once ($15/$20 by length), or go all-access for $10/mo with a verifiable certificate.
Related categories
Explore adjacent prompt libraries that support ai agents workflows.
AI Automation
n8n/Make workflows, AI agents, backoffice automation and customer service automation
Programming & Dev
Code, debugging, architecture, DevOps and AI-powered development
Personal Productivity
Organization, automation, focus, efficient meetings and decision-making
Data Analysis
Excel, SQL, data visualization, KPIs and AI-powered reporting
How to use AI Agents prompts well
Start with the prompt closest to your workflow, replace any placeholders with your own context, and tell the model what a good output looks like. The fastest improvement usually comes from clearer context, tighter constraints, and a more specific deliverable.
This category is especially useful for designing reliable single and multi-agent systems. Treat the prompt as the execution layer, then refine it into a reusable workflow once you know it solves a real recurring problem.