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
4 prompts match the current filters
Brief a Coding Agent (Claude Code / Codex) on a Real Task
Write a precise task brief for an autonomous coding agent so it ships the right change without wandering across the codebase.
Best for
Get a self-contained brief — context, constraints, definition of done — that lets a coding agent work safely in an existing repo.
Plan-Then-Execute Mode for a Coding Agent
Force a coding agent to produce and confirm an implementation plan before it edits a single file.
Best for
Prevent expensive wrong turns by separating planning from execution and getting a checkpoint before changes land.
Turn a Coding Agent into a Test-First TDD Partner
Direct a coding agent to write failing tests first, then implement just enough code to pass them.
Best for
Get higher-quality, regression-resistant changes by enforcing a red-green-refactor loop with the agent.
Debug with an Agent Using a Hypothesis-Driven Loop
Guide a coding agent to debug systematically — form a hypothesis, add instrumentation, test it, narrow down — instead of random edits.
Best for
Find the real root cause faster by forcing structured, evidence-based debugging rather than shotgun fixes.
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.