self-iterating

Manage autonomous iteration loops with user-defined conditions and maximum attempts.

4|1|Updated Jan 7, 2026
One-click install
npx skills add https://github.com/an8079/take-skills --skill self-iterating
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: self-iterating
Source: https://github.com/an8079/take-skills/tree/main/skills/self-iterating
Command: npx skills add https://github.com/an8079/take-skills --skill self-iterating

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates complex, multi-step tasks by managing continuous iteration loops until predefined completion conditions are met, preventing endless cycles and ensuring safe execution.

Core Features & Use Cases

  • Autonomous Iteration: Manages loops of task execution, state collection, and condition checking.
  • Progress Tracking: Collects and logs critical state information like code changes, test outputs, and errors.
  • Safety Guardrails: Enforces maximum iteration limits to prevent runaway processes and ensures immediate termination upon meeting success criteria.
  • Use Case: Automatically refactor code, fix bugs identified by tests, or optimize a configuration until performance metrics improve or a specific output is achieved, all without manual intervention.

Quick Start

Use the self-iterating skill to fix bugs in the code until all tests pass, with a maximum of 5 iterations.

Frequently Asked Questions about self-iterating

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate continuous code iteration until tests pass?▼

Automate continuous code iteration by configuring autonomous loops that execute tasks, collect git diffs and test outputs, and check completion conditions until tests pass or a maximum attempt limit is reached.

What is autonomous task iteration for debugging and refactoring?▼

Autonomous task iteration for debugging and refactoring is a process that manages continuous execution loops, collects state like logs and errors to inform subsequent attempts, and enforces safety limits to prevent endless cycles.

How do I prevent runaway processes during automated task management?▼

Prevent runaway processes during automated task management by enforcing safety guardrails, including maximum iteration limits and immediate termination upon meeting success criteria to ensure safe execution.

Can I use self-iterating loops to fix bugs without manual intervention?▼

You can use self-iterating loops to automatically fix bugs by setting user-defined conditions and maximum attempts, allowing the process to run and collect test outputs without manual intervention.

What state information is tracked during continuous improvement loops?▼

Continuous improvement loops track critical state information including git diffs, logs, test outputs, and errors to inform subsequent iterations and enforce quality gates for logging and termination.

When should I not use autonomous iteration loops for task completion?▼

Avoid autonomous iteration loops for task completion when maximum attempt limits are unsuitable for your context, or when you lack clear user-defined conditions and safety limits to prevent runaway processes.