Does this skill support automated testing?

Yes, it integrates a Test-Driven Development (TDD) approach, executing E2E tests for every feature and performing recovery or rollbacks if tests fail.

Can I set a budget for autonomous sessions?

Yes, you can configure token budgets, maximum session counts, and auto-checkpointing to ensure the autonomous agent operates within your project constraints.

What is the Autonomous Loop skill?

It is an orchestration framework that allows Claude to run continuous, self-managed coding sessions to complete multiple features autonomously without manual intervention.

How does it handle context window limits?

The loop monitors token usage in real-time. When approaching limits, it automatically compacts context, prepares a handoff state, and initiates a continuation session.

Autonomous Loop Orchestrator

Name: Autonomous Loop Orchestrator
Author: adaptationio

byadaptationio

生产力与工作流

Orchestrates end-to-end autonomous coding sessions by managing feature implementation, testing, and agent lifecycle.

关于

The Autonomous Loop skill provides a robust orchestration framework for AI-driven development, enabling Claude to work through a feature list continuously until completion. It handles the complexities of long-running sessions, including context window monitoring, automatic checkpoints for safe rollbacks, and Test-Driven Development (TDD) workflows. By coordinating between implementation agents and E2E testers, this skill ensures that features are not just written but verified and documented within a persistent, self-healing execution loop that handles handoffs and session memory automatically.

主要功能

0 GitHub stars
Continuous feature implementation loop with intelligent state tracking
Comprehensive session reporting including token usage and feature completion stats
Context limit monitoring with seamless session handoffs and continuation
Automated TDD workflow integration and E2E test verification
Checkpoint management for automated error recovery and safe rollbacks

使用场景

Automating the development of entire feature sets from a prioritized backlog
Ensuring high code quality through automated test-and-repair implementation cycles
Maintaining long-running coding sessions that span across multiple context window limits

关于

主要功能

0 GitHub stars
Continuous feature implementation loop with intelligent state tracking
Comprehensive session reporting including token usage and feature completion stats
Context limit monitoring with seamless session handoffs and continuation
Automated TDD workflow integration and E2E test verification
Checkpoint management for automated error recovery and safe rollbacks

使用场景

Automating the development of entire feature sets from a prioritized backlog
Ensuring high code quality through automated test-and-repair implementation cycles
Maintaining long-running coding sessions that span across multiple context window limits