proceed

Orchestrate autonomous software development from requirement validation to pull request coordination.

4|Updated Jul 20, 2026
One-click install
npx skills add https://github.com/highflame-ai/ai-factory --skill proceed-highflame-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: proceed
Source: https://github.com/highflame-ai/ai-factory/tree/main/skills/proceed
Command: npx skills add https://github.com/highflame-ai/ai-factory --skill proceed-highflame-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the fragmentation and manual overhead of the software development lifecycle by automating the entire pipeline from requirement specification to deployment.

Core Features & Use Cases

  • Autonomous Orchestration: Drives a requirement (REQ-xxx) through validation, architecture, implementation, verification, and PR creation without human intervention.
  • Cross-Repo Coordination: Manages complex features spanning multiple repositories by creating worktrees, sequencing merges, and maintaining state across the entire system.
  • Deterministic Gates: Enforces strict validation at every phase, ensuring only high-quality, reviewed code reaches the main branch.

Quick Start

Invoke the proceed skill with a requirement ID to drive the full development pipeline from spec to deployment.

Frequently Asked Questions about proceed

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

FAQPage Schema
How do I automate the software development lifecycle from requirements to pull requests?

Autonomous SDLC orchestration coordinates requirement validation, architecture, implementation, and pull request creation across distributed git worktrees. It enforces deterministic verification gates to guarantee production-ready code reaches the main branch.

Can I coordinate multi-repository pull requests and merges across distributed git worktrees?

Yes, coordinating multi-repository pull requests is supported through distributed git worktrees. It sequences merges, maintains persistent state tracking across repositories, and manages complex features spanning multiple codebases to ensure atomic, spec-driven feature delivery.

What is autonomous pipeline orchestration for spec-driven feature delivery?

Autonomous pipeline orchestration is the process of driving a validated requirement through architecture, implementation, verification, and merge sequencing without human intervention. It uses persistent state tracking and deterministic gates to maintain production-ready code quality.

Does agentic SDLC automation work with existing git workflows?

Agentic SDLC automation integrates with git workflows by using distributed worktrees and managing pull request coordination. It operates across existing repositories to sequence merges and enforce deterministic review gates before any code reaches the main branch.

How do I enforce deterministic verification gates before merging code into the main branch?

Enforcing deterministic verification gates requires strict validation at every phase of the development pipeline. This Skill applies automated checks for requirement compliance, architectural design, task implementation, and review sequencing to guarantee only reviewed code merges.

What are the limitations of autonomous end-to-end pipeline orchestration for software engineering?

Autonomous pipeline orchestration limitations include dependency on structured requirement IDs for input and the need for compatible multi-repository git worktree setups. It is designed for spec-driven feature delivery rather than ad-hoc or unstructured code modifications.