Orchestrate a four-phase autonomous development workflow with subagents and CI-verified pull requests.
npx skills add https://github.com/egerev/superflow --skill superflow-egerev
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
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.
Run the superflow skill to initiate the onboarding process and start a new autonomous development workflow for your current project.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
ldzhhxxAutomate coding tasks with the OpenAI Codex CLI in git repositories.
moogieonManage pull request lifecycles with merging, CI testing, deployment, and verification.
4lermanDetect repository stacks and generate CI/CD pipeline templates for GitHub Actions and GitLab CI.
hainamchungOrchestrate Codex-native agents to execute autonomous task workflows.
