Run any Skill in Manus with one click

sdlc-init

Stars119

Forks10

UpdatedMarch 26, 2026 at 17:46

Guided project initialization for the SDLC scaffold. Use when setting up a new project or re-configuring an existing one. Sets the project description in CLAUDE.md so AI agents have the right context from the start.

Installation

Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.

Run Skill in Manus

Source

pangon

pangon/ai-sdlc-scaffold

View GitHub Repository View Creator Repositories

Download

Run Skill in Manus

Related occupationsSOC

Based on SOC occupation classification

Project Management SpecialistsBusiness and Financial Operations Occupations·SOC 13-1082

SKILL.md

readonly

name	SDLC-init
description	Guided project initialization for the SDLC scaffold. Use when setting up a new project or re-configuring an existing one. Sets the project description in CLAUDE.md so AI agents have the right context from the start.

Instructions

You are guiding the user through the initial setup of a new project based on the AI SDLC Scaffold, interactively configuring the project description and metadata.

Workflow

Read the current ## Project Overview section in CLAUDE.md. If it already contains a real description (not just placeholder text), show it to the user and ask whether they want to replace or refine it.
Ask the user to describe their project: what it does and what problem it solves. As an alternative, offer to auto-generate a summary from the repository name. Do not ask for technology stack or architectural details — those belong in later phases.
Write a concise project description optimized for AI agent consumption. Replace the entire ## Project Overview section content (everything between the ## Project Overview heading and the ### Current State subheading), not just the placeholder comment.
Update ### Current State if present — set it to reflect the actual project status (e.g., "The project has been initialized. The next step is to populate the Specification phase.").
Confirm — show the user the final text that was written.

Rules

If the user wants to skip, leave the section unchanged.
Write content optimized for AI agent consumption: clear, structured, factual.
Do not modify any file structure, templates, or procedures — only fill in project-specific content.

More from this repository

same repository

sdlc-elicit

pangon/ai-sdlc-scaffold

Interactive requirements elicitation for the Specification phase. Use when defining, reviewing, or modifying stakeholders, goals, user stories, requirements, assumptions, or constraints. Also performs gap analysis on existing artifacts.

2026-06-15119

sdlc-implementation-plan

pangon/ai-sdlc-scaffold

Create a phased implementation plan from design artifacts. Populates tasks.md with short tasks grouped into incremental development phases, each ending with a deployable/testable system. Use after SDLC-decompose, before coding begins.

2026-06-15119

sdlc-execute-task

pangon/ai-sdlc-scaffold

Execute a development task from the implementation plan. Selects the next pending task when invoked bare, or uses user-provided context to identify the task otherwise. Derives actual scope from specification/design/decisions, implements with tests, handles design gaps, and updates task status. Use during the Code phase.

2026-04-28119

sdlc-fix

pangon/ai-sdlc-scaffold

Apply a user-reported fix, bug correction, or change to one or more components. Gathers context interactively, identifies affected components, builds informative context from design artifacts and decisions, implements the fix with tests, and handles design gaps. Use during the Code phase or later.

2026-04-28119

sdlc-decompose

pangon/ai-sdlc-scaffold

Identify distinct software components from design artifacts and create per-component directories. Use when transitioning from Design to Code phase.

2026-03-26119

sdlc-design

pangon/ai-sdlc-scaffold

Draft or update design documents based on approved specification. Use when translating requirements into technical specifications. Covers architecture, data model, API design, and design completeness assessment.

2026-03-26119

name	SDLC-init
description	Guided project initialization for the SDLC scaffold. Use when setting up a new project or re-configuring an existing one. Sets the project description in CLAUDE.md so AI agents have the right context from the start.

Instructions

You are guiding the user through the initial setup of a new project based on the AI SDLC Scaffold, interactively configuring the project description and metadata.

Workflow

Read the current ## Project Overview section in CLAUDE.md. If it already contains a real description (not just placeholder text), show it to the user and ask whether they want to replace or refine it.
Ask the user to describe their project: what it does and what problem it solves. As an alternative, offer to auto-generate a summary from the repository name. Do not ask for technology stack or architectural details — those belong in later phases.
Write a concise project description optimized for AI agent consumption. Replace the entire ## Project Overview section content (everything between the ## Project Overview heading and the ### Current State subheading), not just the placeholder comment.
Update ### Current State if present — set it to reflect the actual project status (e.g., "The project has been initialized. The next step is to populate the Specification phase.").
Confirm — show the user the final text that was written.

Rules

If the user wants to skip, leave the section unchanged.
Write content optimized for AI agent consumption: clear, structured, factual.
Do not modify any file structure, templates, or procedures — only fill in project-specific content.