Can it recover from errors during implementation?

Yes, it features automatic failure recovery, including retries and state management to prevent logic loops and ensure progress is saved.

What quality gates does it enforce?

It enforces minimum research scores, plan approval ratings (typically 90+), test coverage thresholds (95%+ target), and final multi-layer QA verification.

What is the End-to-End Orchestrator?

It is a Claude Code Skill that manages the complete development process from research to final verification using a structured 5-stage pipeline with automated quality gates.

When should I use this skill instead of individual skills?

Use it for implementing complete, production-grade features where you want automated coordination, failure recovery, and strict verification across multiple stages.

End-to-End Orchestrator

Name: End-to-End Orchestrator
Author: adaptationio

byadaptationio

Productivity & Workflow

Orchestrates the entire software development lifecycle from initial research to production-ready code deployment through an automated five-stage pipeline.

About

The End-to-End Orchestrator is a comprehensive development workflow engine designed to automate the full path of feature implementation. By coordinating specialized multi-AI skills for research, planning, implementation, testing, and verification, it ensures that every line of code meets strict quality gates and coverage requirements. It is ideal for developers needing production-grade code with built-in failure recovery and state management, transforming complex feature requests into verified, ready-to-deploy assets without the need for manual skill chaining.

Key Features

Multi-agent coordination for parallel task execution and independent QA verification
0 GitHub stars
Automated 5-stage pipeline (Research, Planning, Implementation, Testing, Verification)
Strict quality gates ensuring high code coverage and architectural adherence
Built-in failure recovery with automatic retry and rollback mechanisms
Persistent state management for tracking long-running implementation progress

Use Cases

Implementing complex new features requiring thorough research and planning
Ensuring production-grade quality with automated test-driven development
Executing full development cycles from a single objective with minimal manual intervention

About

Key Features

Multi-agent coordination for parallel task execution and independent QA verification
0 GitHub stars
Automated 5-stage pipeline (Research, Planning, Implementation, Testing, Verification)
Strict quality gates ensuring high code coverage and architectural adherence
Built-in failure recovery with automatic retry and rollback mechanisms
Persistent state management for tracking long-running implementation progress

Use Cases

Implementing complex new features requiring thorough research and planning
Ensuring production-grade quality with automated test-driven development
Executing full development cycles from a single objective with minimal manual intervention