maister-init

Automates SDLC framework setup by analyzing codebase and generating documentation scaffolding.

199|26|Updated Nov 27, 2025
One-click install
npx skills add https://github.com/SkillPanel/maister --skill maister-init
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: maister-init
Source: https://github.com/SkillPanel/maister/tree/main/plugins/maister-copilot/skills/init
Command: npx skills add https://github.com/SkillPanel/maister --skill maister-init

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Initialize AI-driven SDLC tooling by analyzing a codebase to generate documentation scaffolding and initiate standards discovery, reducing setup time and ensuring governance from day one.

Core Features & Use Cases

  • Automated project analysis & standards discovery: analyzes codebase and proposes applicable coding standards from built-in baselines or external sources.
  • Documentation scaffolding generation: creates the .maister/docs structure with placeholder sections and phase-driven templates.
  • Phase-driven orchestration: coordinates with subagents (docs-operator, project-analyzer, and standards-discover) to complete Phases 1 through 8.
  • Use Case: Fresh greenfield or legacy migration where auto-generated docs and standards scaffolding accelerate setup.

Quick Start

Initialize the AI SDLC framework for your project by running the init workflow to generate documentation scaffolding and start standards discovery.

Frequently Asked Questions about maister-init

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

FAQPage Schema
How do I automate documentation scaffolding for an existing codebase?

Automated documentation scaffolding analyzes your codebase to generate a structured docs directory with phase-driven templates and placeholder sections. It coordinates subagents for project analysis, reducing manual setup time for legacy or new projects.

What is the best way to initialize coding standards discovery for a new project?

Initializing coding standards discovery involves analyzing your codebase to propose applicable standards from built-in baselines or external sources. It coordinates with subagents across multiple phases to complete standards discovery and handoff.

Can I use automated project analysis for legacy code migrations?

Automated project analysis supports legacy migrations by evaluating the existing codebase and generating documentation scaffolding. It applies to new, existing, and legacy projects, coordinating with subagents across eight phases to ensure governance from day one.

How does phase-driven orchestration work for AI SDLC documentation generation?

Phase-driven orchestration coordinates subagents like docs-operator, project-analyzer, and standards-discover across phases one through eight. It performs pre-flight checks, template-driven documentation generation, validation, and final standards handoff automatically.

Do I need external dependencies to run codebase analysis for documentation templates?

No external dependencies are required to run codebase analysis and generate documentation templates. The workflow applies built-in baselines to propose applicable coding standards and creates the scaffolding structure internally.

Why does automated standards discovery stop before completing all phases?

Automated standards discovery completes validation and final standards handoff by coordinating subagents across eight phases. If pre-flight checks fail or the codebase lacks analyzable structure, the orchestration halts to prevent incomplete documentation generation.