sdlc-quickref

Map natural language intent to SDLC phase workflows and quality gates.

4|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/Fortemi/HotM --skill sdlc-quickref
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sdlc-quickref
Source: https://github.com/Fortemi/HotM/tree/main/.agents/skills/sdlc-quickref
Command: npx skills add https://github.com/Fortemi/HotM --skill sdlc-quickref

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of navigating complex, multi-agent software development lifecycles by providing a centralized mental model and a standardized discovery interface for hundreds of specialized SDLC tasks.

Core Features & Use Cases

  • Framework Orientation: Teaches the phase-based SDLC model (Inception through Production) and capability domains.
  • Curated Discovery: Provides validated search phrases to surface specific SDLC skills via the aiwg discover command.
  • Use Case: When a team needs to transition from Inception to Elaboration, use this skill to identify the correct workflow automation to ensure all gate criteria and traceability requirements are met.

Quick Start

Use the aiwg discover command with the phrase start a new project to find the appropriate project bootstrap skill.

Frequently Asked Questions about sdlc-quickref

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

FAQPage Schema
What is the SDLC framework and how does discovery automation work?

The SDLC framework structures software development into phase-based workflows from Inception to Production. Discovery automation maps natural language intent to specific tasks, validating search phrases to surface specialized agentic skills via the aiwg discover command.

How do I find the right workflow automation for transitioning between SDLC phases?

To find workflow automation for SDLC phase transitions, use this skill to identify the correct phase-based workflow. It ensures all gate criteria and traceability requirements are met when moving from phases like Inception to Elaboration.

Can I use natural language to search for project bootstrap and artifact generation tasks?

Yes, you can use natural language to search for project bootstrap and artifact generation tasks. The skill maps your intent to specific phase-based workflows and quality gates, providing validated search phrases to locate the correct automation.

What's the best way to navigate a multi-agent software development lifecycle?

The best way to navigate a multi-agent software development lifecycle is using a centralized mental model. This skill provides a standardized discovery interface to map user intent to hundreds of specialized SDLC tasks, ensuring structured phase transitions.

Do I need specific dependencies to access SDLC quality gates and workflow automation?

No specific dependencies are required to access SDLC quality gates and workflow automation. The skill operates independently to provide a structured discovery interface, mapping natural language intent to phase-based workflows and artifact generation tasks.

When should I not use a standardized discovery pattern for SDLC tasks?

You should not use a standardized discovery pattern for SDLC tasks if your project requires highly customized, non-phase-based workflows. This skill is designed for structured phase transitions, quality gates, and standardized artifact generation within the software development lifecycle.