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Dev Pipeline

Orchestrate a 9-phase development pipeline with specialized AI agents.

Updated Aug 23, 2026
Search Tags:#tdd#feature development#security audit#performance optimization#agent orchestration#development pipeline#software lifecycle
One-click install
npx skills add https://github.com/ThePhoenixAgency/Phoenix-Agents-Marketplace --skill dev-pipeline
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Dev Pipeline
Source: https://github.com/ThePhoenixAgency/Phoenix-Agents-Marketplace/tree/main/plugins/dev-pipeline/skills/dev-pipeline
Command: npx skills add https://github.com/ThePhoenixAgency/Phoenix-Agents-Marketplace --skill dev-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the entire lifecycle of developing a complete feature, from initial analysis and specification to implementation, security review, testing, and performance auditing, ensuring a robust and efficient development process.

Core Features & Use Cases

  • Multi-phase Development Workflow: Orchestrates specialized agents through a 9-phase pipeline.
  • Mode Flexibility: Supports different execution modes (FULL, QUICK, RESEARCH, APPLE, SECURITY) tailored to project needs.
  • Agent Specialization: Leverages distinct AI agents for each phase (e.g., spec-writer, architect, implementer, security-reviewer).
  • Use Case: Initiate the development of a new user authentication module by triggering the 'Dev Pipeline' skill with the command "develop new auth module".

Quick Start

Use the Dev Pipeline skill to develop a new feature following the FULL execution mode.

Frequently Asked Questions about Dev Pipeline

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

FAQPage Schema
How do I automate the full feature development lifecycle from spec to security audit?▼

Automate the full feature development lifecycle by orchestrating a 9-phase pipeline using specialized AI agents for spec writing, TDD implementation, security auditing, and performance optimization to deliver complete features efficiently.

What is TDD implementation in a multi-phase development pipeline?▼

TDD implementation in a multi-phase development pipeline is a dedicated phase where an AI implementer agent writes code driven by tests, integrated with architecture design, QA testing, accessibility checks, and performance optimization.

Can I run a security audit and performance optimization without the entire software lifecycle pipeline?▼

Run a security audit and performance optimization without the entire software lifecycle pipeline by using the SECURITY execution mode, which targets specific project requirements without executing all 9 development phases.

What's the best way to manage agent orchestration for complex feature development?▼

Manage agent orchestration for complex feature development by using the FULL execution mode, which leverages specialized AI agents sequentially across project classification, web research, architecture design, and QA testing.

Does this development pipeline support quick feature delivery without architecture design overhead?▼

The development pipeline supports quick feature delivery without architecture design overhead by using the QUICK execution mode, bypassing extensive phases for faster TDD implementation while maintaining core quality checks.

When should I not use the FULL execution mode for software lifecycle automation?▼

Avoid the FULL execution mode for software lifecycle automation when a project only requires web research or a security audit, opting instead for the specialized RESEARCH or SECURITY modes to save time on unnecessary phases.

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