csdlc-process

Documents the Claymore Software Development Lifecycle methodology for human-AI collaboration.

Updated Apr 10, 2026

Search Tags:#workflow #refinement #qa #context-management #design-doc #agent-prompts #csdlc

Ready to run

npx skills add https://github.com/danhannah94/claymore-plugins --skill csdlc-process

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: csdlc-process
Source: https://github.com/danhannah94/claymore-plugins/tree/main/csdlc/skills/csdlc-process
Command: npx skills add https://github.com/danhannah94/claymore-plugins --skill csdlc-process

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The CSDLC methodology reference helps teams understand and apply the Claymore Software Development Lifecycle, enabling consistent human-AI collaboration and repeatable software delivery.

Core Features & Use Cases

Comprehensive reference covering pipeline steps, roles, rituals, and context management.
Guides when to apply design docs, refinement, agent prompts, sub-agent execution, and QA.
Use it to orient new projects, align teams, and craft prompts for deterministic agent behavior.

Quick Start

Read PROCESS.md to get the full CSDLC methodology and then apply it to project planning, prompts, and reviews.

Frequently Asked Questions about csdlc-process

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

FAQPage Schema

What is the Claymore Software Development Lifecycle methodology for human-AI collaboration?▼

The Claymore Software Development Lifecycle (CSDLC) methodology is a structured workflow that governs human-AI collaboration across project initiation, design refinement, sub-agent execution, QA, and human review to ensure repeatable software delivery.

How do I craft agent prompts for deterministic AI behavior in a software development lifecycle?▼

You craft deterministic agent prompts by following the CSDLC methodology's defined steps, roles, and context management rules, which govern how prompts are structured and executed to ensure consistent AI behavior during software delivery.

How do I manage context and story breakdowns when working with AI sub-agents?▼

You manage context and story breakdowns by applying the CSDLC methodology's documented context management strategies and naming conventions, which dictate how design docs, prompts, and reviews are structured for accurate sub-agent execution.

When should I apply design refinement and QA workflows in an AI-assisted development process?▼

You should apply design refinement and QA workflows during the sub-agent execution and human review phases of the CSDLC process, ensuring that design docs are refined and outputs are validated before project completion.

Does this software development lifecycle methodology require any specific frameworks or dependencies?▼

No, the CSDLC methodology operates without specific framework dependencies, providing a standalone reference of pipeline steps, roles, and rituals that can be applied to orient new projects and align teams for human-AI collaboration.