iterative-runner

Runs Claude in a retry loop until tests pass or task completes. Use for TDD loops, overnight builds, or any task needing repeated iteration until success. Triggers on: loop until done, keep trying, retry until pass, TDD loop, iterate until tests pass.

242 stars

Best use case

iterative-runner is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Runs Claude in a retry loop until tests pass or task completes. Use for TDD loops, overnight builds, or any task needing repeated iteration until success. Triggers on: loop until done, keep trying, retry until pass, TDD loop, iterate until tests pass.

Runs Claude in a retry loop until tests pass or task completes. Use for TDD loops, overnight builds, or any task needing repeated iteration until success. Triggers on: loop until done, keep trying, retry until pass, TDD loop, iterate until tests pass.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "iterative-runner" skill to help with this workflow task. Context: Runs Claude in a retry loop until tests pass or task completes. Use for TDD loops, overnight builds, or any task needing repeated iteration until success. Triggers on: loop until done, keep trying, retry until pass, TDD loop, iterate until tests pass.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/iterative-runner/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/barissozen/iterative-runner/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/iterative-runner/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How iterative-runner Compares

Feature / Agentiterative-runnerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Runs Claude in a retry loop until tests pass or task completes. Use for TDD loops, overnight builds, or any task needing repeated iteration until success. Triggers on: loop until done, keep trying, retry until pass, TDD loop, iterate until tests pass.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Iterative Runner

Runs Claude in a persistent loop that keeps retrying until tests pass or the task is complete.

## When to Use

- Running TDD loops that iterate until all tests pass
- Overnight builds that need to keep trying until successful
- Any task requiring repeated attempts until completion criteria are met
- Automated retry for flaky or complex implementations

## Core Concept

```bash
while :; do cat PROMPT.md | claude ; done
```

Keep iterating until task is complete.

## Workflow

### Step 1: Define Completion Criteria

Specify clear success conditions:
- All tests passing
- No linter errors
- Specific output marker (e.g., `<promise>DONE</promise>`)

### Step 2: Set Safety Limits

Always use `--max-iterations` to prevent infinite loops.

### Step 3: Run the Loop

```bash
# Basic loop
iterative-runner "Build feature X" --completion-promise "DONE" --max-iterations 30

# TDD loop
iterative-runner "Implement feature using TDD.
1. Write failing test
2. Implement to pass
3. Run tests
4. Fix if failing
5. Repeat

Output <promise>DONE</promise> when all tests green." --max-iterations 50
```

## Prompt Best Practices

1. **Clear completion criteria** - Define what "done" means
2. **Incremental goals** - Break into phases
3. **Self-correction** - Include retry logic
4. **Escape hatch** - Always use --max-iterations

## Template

```
Implement [FEATURE].

Requirements:
- [Requirement 1]
- [Requirement 2]

Success criteria:
- All tests passing
- No linter errors

After 15 failed iterations:
- Document blockers
- List attempted approaches

Output <promise>COMPLETE</promise> when done.
```

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