Orchestrate multi-stage software development workflows with approvals and scope detection.
npx skills add https://github.com/amadeus-dlc/amadeus --skill amadeus
Please help me install this Agent Skill. Skill: amadeus Source: https://github.com/amadeus-dlc/amadeus/tree/main/.agents/skills/amadeus Command: npx skills add https://github.com/amadeus-dlc/amadeus --skill amadeus
It turns a complex AI-assisted development lifecycle into a deterministic workflow so you can start, resume, route, and complete work without manually tracking stage state or approvals.
Use the amadeus skill to start or resume your AI-DLC workflow for the change you want to build and let it route the next lifecycle step.
High-intent search queries and answers about installing and using this skill.
Workflow orchestration for an AI-assisted software delivery lifecycle is managed by capturing intents, detecting scope, and routing stages deterministically. This ensures you can start, resume, and complete work without manually tracking state or approvals.
Stage routing works by applying deterministic state tracking and stage protocols to move features or bugfixes through construction and operations. It validates lifecycle artifacts across the repository to govern per-unit execution.
The best way to track approvals and audit trails during AI-DLC is to use a single entrypoint that governs multi-stage workflows. This captures audit-safe question handling and validates lifecycle artifacts for repeatable delivery.
Yes, you can resume an incomplete infrastructure change without losing its lifecycle state. The workflow applies deterministic state tracking to route the next lifecycle step seamlessly from intent capture through operations.
No, you do not need auxiliary analysis skills to perform scope detection for active intents, as the core workflow handles this directly. However, it supports integrating them for deeper research and artifact checking.
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