proceed

Orchestrates ADLC pipelines from requirement spec to deployment with gate-based state tracking.

159|41|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/atelier-fashion/adlc-toolkit --skill proceed
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: proceed
Source: https://github.com/atelier-fashion/adlc-toolkit/tree/main/proceed
Command: npx skills add https://github.com/atelier-fashion/adlc-toolkit --skill proceed

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

End-to-end ADLC pipeline orchestration from a drafted requirement through validation, architecture, implementation, verification, and merge, reducing manual handoffs and ensuring auditable progress.

Core Features & Use Cases

  • End-to-end pipeline execution: validate → architect → implement → reflect + review → create PR → wrapup, with optional canary deployment.
  • Gate-based execution with state persistence: maintains a pipeline-state.json to track current phase, completed phases, and per-task progress to enable resume after interruptions.
  • Parallel and subagent execution: dispatches agent-based work where appropriate and supports a subagent mode for sequential in-context runs.
  • Preflight, safety, and traceability: environments are prepared with worktrees, shared context is loaded once, and phase transitions are strictly enforced.
  • Use case: a team runs a single command to drive a drafted REQ from spec to deployment, with full traceability and rollback paths.

Quick Start

Run /proceed REQ-xxx to drive a requirement from spec through deployment.

Frequently Asked Questions about proceed

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

FAQPage Schema
How do I automate an end-to-end ADLC pipeline from requirement to deployment?

To automate an end-to-end ADLC pipeline, you can orchestrate validation, architecture, implementation, verification, and pull-request creation from a single requirement spec. It coordinates these phases across multiple subagents while tracking progress in a persistent pipeline-state.json file.

What is the best way to orchestrate software development pipelines with enforced phase gates?

The best way to orchestrate software development pipelines with enforced phase gates is to use a state-persistent orchestration tool. It strictly enforces phase transitions and maintains a pipeline-state.json file to ensure auditable delivery and safe gate-based execution.

How do I resume an interrupted software pipeline after a failure?

To resume an interrupted software pipeline, the orchestration tool uses a persistent pipeline-state.json file to track completed phases and per-task progress. This allows execution to resume directly from the last checkpoint without restarting the entire workflow.

Can I run canary deployments automatically after a pull request is created?

Yes, you can run optional canary deployments automatically after pull-request creation. The pipeline orchestrates the entire workflow from requirement validation through verification and merge, concluding with an optional canary deployment phase.

Does pipeline orchestration support parallel agent execution for implementation tasks?

Yes, pipeline orchestration supports parallel agent execution for implementation tasks. It dispatches agent-based work where appropriate and includes a subagent mode for sequential in-context runs to optimize complex development workflows.