ai-sdlc-kit 0.1.2

Spec-driven SDLC skills for AI coding agents — Claude Code, Cursor, Windsurf, Gemini CLI

ai-sdlc-kit

Spec-driven SDLC skills that make AI coding agents work like real engineers.

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What is it?

ai-sdlc-kit installs a set of skills for Claude Code, Cursor, Windsurf, and Gemini CLI that take an agent through a real engineering workflow instead of one-shot code generation:

understand → decide → plan in verifiable steps → build with checks after every step → gate → ship

Skill	Does
sdlc-init	One-time project setup: stack, layout, commands, conventions
roadmap	Splits a PRD into ordered, shippable features
spec	Plans one feature: decisions, tasks with contracts + verify commands
build	Executes the spec task-by-task, verifying after every step
qa	Re-runs verifies + acceptance checks; failures become fix-tasks
ship	Branch guard, staged commit built from the spec — never pushes
architecture-diagram	Renders a self-contained HTML/SVG architecture diagram

Install

pip install ai-sdlc-kit
# or: uv tool install ai-sdlc-kit

Use

ai-sdlc install --agent claude   # or cursor / windsurf / gemini / all

This copies the skills into your agent's skills directory. They then appear as slash commands: /sdlc-init, /roadmap, /spec, /build, /qa, /ship.

Flag	Effect
--agent all	install for every supported agent at once
--target PATH	install into a specific project directory (default: .)
--global	install into your home directory instead of a project
--force	overwrite existing skill folders

ai-sdlc list         # see bundled skills
ai-sdlc --version    # print the installed version

Changelog

• 0.1.2 — automated PyPI releases via GitHub Actions trusted publishing
• 0.1.1 — cleaner README, professional package presentation
• 0.1.0 — initial release: 6 core skills + architecture-diagram, pip-installable CLI

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Related prior art: github/spec-kit.