pdlc

Coordinate 100+ Claude Code agents across a full PDLC sprint.

Updated Mar 27, 2026

Search Tags:#workflow #architecture #agents #orchestrator #sprint #pdlc

Ready to run

npx skills add https://github.com/dipandhali2021/shipwright --skill pdlc

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pdlc
Source: https://github.com/dipandhali2021/shipwright/tree/main/skills/pdlc
Command: npx skills add https://github.com/dipandhali2021/shipwright --skill pdlc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This PDLC orchestrator coordinates a multi-agent system to autonomously run end-to-end product development lifecycles, reducing manual orchestration and enabling scalable sprint execution.

Core Features & Use Cases

Orchestrates multi-phase PDLC sprint cycles with 100+ agents and artifact generation
Generates dashboards, reports, and retrospectives to drive continuous improvement
Supports Agent Teams and subagent modes with fallback and error handling

Quick Start

Spawn the pdlc orchestrator to initialize a new PDLC sprint and coordinate all agents.

Frequently Asked Questions about pdlc

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

FAQPage Schema

How do I automate a software development sprint cycle end to end?▼

To automate a PDLC sprint cycle, you can use an orchestrator to spawn and coordinate 100+ Claude Code agents across research, planning, design, development, testing, and deployment phases. It generates artifacts and dashboards continuously throughout the sprint.

What is an autonomous PDLC orchestrator?▼

An autonomous PDLC orchestrator is a multi-agent system that coordinates 100+ agents to execute end-to-end product development lifecycles. It manages phase definitions, agent registries, and templates to reduce manual orchestration and enable scalable sprint execution.

Do I need a specific environment to run multi-agent sprint coordination?▼

You do not need a specific rigid environment, as the PDLC orchestrator supports both agent-teams and subagent execution modes. It determines scope based on your domain and project type, automatically falling back or handling errors depending on the available environment.

How do I generate retrospectives and reports after a development sprint?▼

To generate retrospectives and reports after a development sprint, initialize the PDLC orchestrator to run through its improvement phases. It automatically generates dashboards, retrospective documents, and artifacts to drive continuous improvement for your software project.

What are the limitations of orchestrating 100+ agents for product development?▼

The main limitation of orchestrating 100+ agents is the complexity of coordination and potential environment constraints. While it includes fallback and error handling, execution scope is strictly determined by your specific domain, project type, and whether agent-teams or subagent mode is active.