superflow

Name: superflow
Availability: InStock
Author: egerev

Orchestrate a four-phase autonomous development workflow with subagents and CI-verified pull requests.

38|6|Updated Mar 21, 2026

Search Tags:#automation #git #workflow #devops #code review #autonomous

Ready to run

npx skills add https://github.com/egerev/superflow --skill superflow-egerev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: superflow
Source: https://github.com/egerev/superflow/tree/main
Command: npx skills add https://github.com/egerev/superflow --skill superflow-egerev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Superflow solves the lack of structure in autonomous AI coding by providing a rigorous, multi-phase workflow that takes a feature from initial brainstorming to a fully reviewed and merged pull request.

Core Features & Use Cases

Autonomous Execution: Orchestrates subagents to handle research, implementation, and testing across multiple sprints.
Governance & Quality: Enforces tiered review processes, charter compliance, and automated release gates to ensure code quality.
Use Case: Use Superflow for complex multi-file features, new subsystems, or large-scale refactors that require a structured plan, cross-model reviews, and CI-verified merges.

Quick Start

Run the superflow skill to initiate the onboarding process and start a new autonomous development workflow for your current project.

Frequently Asked Questions about superflow

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

FAQPage Schema

How do I automate a multi-sprint feature workflow from brainstorming to a merged pull request?▼

Autonomous development workflow orchestration structures the entire process through four phases: onboarding, product discovery, execution, and merge. It coordinates subagents for research and implementation, culminating in a CI-verified pull request.

What is the best way to enforce code review and governance during autonomous AI coding?▼

Enforcing code review during autonomous AI coding requires a tiered governance process with charter compliance and automated release gates. This ensures code quality is maintained across complex multi-file features and large-scale refactors.

Does the autonomous dev workflow require a specific CLI to perform git operations and agent dispatching?▼

Yes, performing git operations, agent dispatching, and CI-verified pull request management requires integration with Claude Code or Codex CLI. These environments provide the necessary interfaces for autonomous execution.

How do I coordinate subagents for complex multi-file features and large-scale refactors?▼

You coordinate subagents by initiating an autonomous development workflow that dispatches them across multiple sprints. This orchestrates research, implementation, and testing while enforcing governance modes for your subsystems.

When should I use a structured autonomous workflow instead of manual coding for new subsystems?▼

Use a structured autonomous workflow for new subsystems or complex multi-file features that require a rigorous plan, cross-model reviews, and CI-verified merges. It provides the governance and multi-sprint coordination that manual coding lacks.

What are the limitations of using an autonomous dev workflow for git operations and CI verification?▼

The autonomous dev workflow is limited by its dependency on Claude Code or Codex CLI for git operations and agent dispatching. It is designed for complex multi-sprint features and may be excessive for simple, single-file modifications.