SDLC Swarm Driver (Entry Point & Orchestrator)

Orchestrate end-to-end SDLC workflows with a multi-agent swarm from specification to deployment.

1|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/farmountain/sdlc_agent_swarm --skill sdlc-swarm-driver-entry-point-orchestrator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: SDLC Swarm Driver (Entry Point & Orchestrator)
Source: https://github.com/farmountain/sdlc_agent_swarm/tree/main/vscode-sdlc-swarm/templates/.agents/driver
Command: npx skills add https://github.com/farmountain/sdlc_agent_swarm --skill sdlc-swarm-driver-entry-point-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill acts as the central orchestrator for complex Software Development Life Cycle (SDLC) workflows, automating the entire process from initial request to final verification without human intervention for most decisions.

Core Features & Use Cases

  • Autonomous Workflow Execution: Manages multi-agent swarms to build software end-to-end.
  • Spec-First & TDD Approach: Enforces a structured development process.
  • Evidence-Gated Progress: Ensures all steps are validated and documented.
  • Use Case: Instruct the swarm to "Build an e-commerce API with Stripe payments," and the Driver will autonomously select workflows, invoke agents for PRD generation, architecture design, code generation, testing, and verification, logging all decisions and evidence.

Quick Start

Use the SDLC Swarm Driver skill to execute the 'build_ecommerce_api' workflow for the objective 'Create a new e-commerce API with payment integration'.

Frequently Asked Questions about SDLC Swarm Driver (Entry Point & Orchestrator)

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

FAQPage Schema
How do I automate the software development life cycle end-to-end?

You can automate the software development life cycle end-to-end by using a multi-agent swarm orchestrator to manage workflows from specification to deployment, enforcing autonomous decision-making and evidence-gated progress.

What does a spec-first and TDD-first methodology enforce during code generation?

A spec-first and TDD-first methodology enforces structured development by requiring explicit specifications and test-driven development practices before autonomous code generation, ensuring all workflow steps are validated and documented.

Can I use a multi-agent swarm to build an e-commerce API autonomously?

Yes, you can use a multi-agent swarm to autonomously build an e-commerce API by instructing the orchestrator to invoke agents for PRD generation, architecture design, code generation, testing, and verification.

What is the difference between BUILD_SWARM and RUN_SDLC modes for workflow orchestration?

BUILD_SWARM mode supports internal development workflows, whereas RUN_SDLC mode targets user application building, with both modes managing state transitions and evidence collection within the multi-agent swarm orchestration.

How does evidence-gated progress work in autonomous workflow management?

Evidence-gated progress in autonomous workflow management ensures all state transitions and agent executions are validated and documented, preventing advancement to the next development phase without verified proof of completion.

Do I need human intervention for consensus panel decisions in SDLC automation?

No, you do not need human intervention for most decisions in SDLC automation because the consensus panel handles autonomous decision-making, logging all choices and evidence throughout the multi-agent workflow.