AI Prompts for Claude Code Loop Setup
The top AI prompts for Claude Code Loop Setup, free to copy right now. Get results in seconds.
Top tested AI prompts for Claude Code Loop Setup that get you real results, fast.
AI Prompts for Claude Code Loop Setup
The top AI prompts for Claude Code Loop Setup, free to copy right now. Get results in seconds.
Top copy-paste AI prompts for Claude Code Loop Setup covering configure your loop environment, run your first loop, and more. Free to use, no account required, and built for professional results at every stage.
Stage 1
Configure Your Loop Environment
Before the first loop runs, you need the right files in the right places. Claude Code reads CLAUDE.md, AGENTS.md, and skill files before starting any session. These prompts help you write the configuration that makes your loop aware of your project from the first token.
Write CLAUDE.md for a loop project
Write a CLAUDE.md file for [YOUR_PROJECT] that is optimized for an agent loop, not one-off sessions. The file should include: the project stack and structure in one paragraph, the loop architecture and what each run is expected to do, the files the loop may write versus files it must never touch, the test command to run after every change, the commit convention, and the definition of done for this loop's current goal. Keep it under 400 words.
Set up AGENTS.md for multi-agent orchestration
Write an AGENTS.md file for [YOUR_PROJECT] that defines the roles and protocols for a multi-agent Claude Code setup. Include: a description of each agent role (explorer, implementer, verifier), the task handoff protocol, the shared state files each agent reads and writes, the branch and worktree naming convention, and the escalation path when an agent cannot complete its task. This file will be read by every agent at the start of its session.
Create a SKILL.md for loop context
Write a SKILL.md for [YOUR_PROJECT] that codifies the project knowledge a loop agent needs every run, without putting it in the prompt each time. The skill should cover: the architecture decisions that are not obvious from the code, the testing conventions, the deployment workflow, the do-not-change list with reasons, and any performance or security constraints the loop must respect. Format it as a Claude Code skill file.
Configure hooks for loop events
I want to configure Claude Code hooks for my loop in [YOUR_PROJECT]. Write the hooks configuration for the following events: PostToolUse (run tests after any file edit), Stop (update .agent/state.md when a session ends), PreToolUse (block edits to protected files). For each hook, write the shell command and the hook entry in .claude/settings.json.
Initialize the loop state files
Create the initial set of state files for a new Claude Code loop project at [YOUR_PROJECT]. I need: .agent/tasks.md (empty task queue with the format spec), .agent/state.md (initial state with today's date and "loop not yet started"), .agent/done.md (empty done log), and a README section explaining the loop architecture to future contributors. Write all four files.
Stage 2
Run Your First Loop
The first loop run should be small, observable, and safe to fail. These prompts help you write a minimal first loop that proves the plumbing works before you scale up.
Write a safe first loop prompt
Write the first loop prompt for [YOUR_PROJECT]. The goal of this first run is only to prove the loop works, not to ship anything significant. The prompt should: identify one small, well-defined task from .agent/tasks.md, complete it in under 10 minutes, run the test suite, commit the result, and update the state file. Write the prompt and the /goal condition that ends this first run.
Run a loop with worktree isolation
Write the Claude Code command to start a loop for [YOUR_PROJECT] that runs in an isolated git worktree. The loop should: create a new worktree named agent/[TASK-ID] from the current branch, complete the task defined in .agent/tasks.md, run the full test suite, and if tests pass, merge the worktree branch back to main and delete the worktree. Write the start command, the loop prompt, and the merge-and-cleanup hook.
Schedule a recurring loop
Set up a recurring scheduled task in Claude Code for [YOUR_PROJECT]. The task should run every [INTERVAL, e.g. day at 7am] and execute: read .agent/tasks.md, take the highest-priority open task, work on it for up to [TIME_LIMIT] minutes, stop and update the state file regardless of whether the task is complete. Write the schedule definition, the task prompt, and the state file update instructions.
Monitor a running loop
Write the monitoring setup for my Claude Code loop in [YOUR_PROJECT]. I want to be able to check the loop's progress without stopping it. Design: the log file format the loop writes to during each run, the command I can run to tail the current progress, the check I can do to see if the last iteration passed verification, and the conditions under which the loop should notify me by writing to a specific file I can watch.
Debug a failed loop iteration
My Claude Code loop for [YOUR_PROJECT] failed during its last run. Here is the error or unexpected output: [PASTE ERROR OR STATE FILE]. Walk me through diagnosing this failure. Check: the last state file entry, the last commit message, any verification failures logged, and the last tool call before the failure. Then write a recovery prompt I can run to continue the loop from where it left off without duplicating completed work.
Frequently asked questions
What are the five loop primitives in Claude Code?+
Claude Code ships five primitives for building agent loops: scheduled tasks (run on a cron expression), worktrees (isolated git directories per task), sub-agents (defined in .claude/agents/ as YAML files with specific roles), skills (SKILL.md files that give agents reusable project knowledge), and MCP connectors (servers that give agents access to external tools like GitHub, Linear, or Slack). Setting all five up correctly is what this guide covers.
How do I write a good CLAUDE.md for a loop project?+
A loop-optimized CLAUDE.md is different from a session-optimized one. It should tell the agent: what the loop is supposed to do each run, which files it may and may not write, the test command to run after every change, the commit convention, and the definition of done for the current sprint. Keep it under 400 words. Longer CLAUDE.md files consume context that the agent needs for actual work.
What is the difference between a scheduled task and a skill in Claude Code?+
A scheduled task defines when and what the loop runs: the cron expression, the triggering prompt, and the stop condition. A skill is a SKILL.md file that gives the agent reusable knowledge it needs every run, like architecture decisions, testing conventions, and the do-not-touch list. The task fires the loop; the skill gives the agent context for doing the work well.
How do I stop a Claude Code loop safely?+
The cleanest way is to set a /goal stop condition that the loop checks after each iteration. When the condition is met, the loop stops on its own. For an emergency stop during a run, you can write a STOP file to the repo root that the loop checks at the start of each iteration. The loop design prompts in Stage 2 of this guide include the STOP file pattern as standard.
Can a Claude Code loop run while I am away from the computer?+
Yes, that is the point. A properly configured scheduled task runs on its cron expression regardless of whether you have the Claude Code window open. The loop reads its own state files, does its work, runs verification, commits the result, and updates the state file. You can check progress by reading the state file or tailing the log file the loop writes to during each run.
Other prompt packages you might like
AI Prompts for Loop Engineering
Loop engineering is what happens when you stop prompting the coding agent yourself and design the system that prompts it instead.
See prompts
AI Prompts for MCP Server Setup
A loop that can only see the filesystem is a tiny loop.
See promptsAI Prompts for Agent Memory and State Management
The agent forgets everything between runs.
See prompts