Score feature delivery against the Product Spec and capture ADRs.
npx skills add https://github.com/queen-of-code/AI-DLC --skill ship-queen-of-code
Please help me install this Agent Skill. Skill: ship Source: https://github.com/queen-of-code/AI-DLC/tree/main/plugins/ai-dlc-skills/skills/ship Command: npx skills add https://github.com/queen-of-code/AI-DLC --skill ship-queen-of-code
AIDLC validates feature readiness and surfaces learnings by scoring against the Product Spec, collecting ADRs, and providing a merge-ready checklist.
Invoke the ship skill after a Review is completed to generate the validate scorecard, capture learnings, and assemble the merge-ready checklist.
High-intent search queries and answers about installing and using this skill.
Automate feature validation by scoring outcomes against the Product Spec to generate a validate scorecard. This process enforces a default 90% readiness gate and records evidence for merge readiness.
The AIDLC validate and learn process scores actual outcomes against the Product Spec, captures ADRs, and produces learn notes alongside a merge-ready checklist for feature delivery.
Capture ADRs and learn notes after a Review is completed during the learn phase. This records architectural decisions and generates a merge-ready checklist for the deploy process.
Feature readiness validation enforces a default 90% gate against the Product Spec. Meeting this threshold is required to generate the validate scorecard and merge-ready checklist.
End-to-end feature validation and learning produces a validate scorecard, learn notes, and a merge-ready checklist. These outputs record evidence and guide the deploy process.
echo-iceAutomate robustness, sensitivity, error, and baseline comparison checks for modeling contest solutions.
csackriderOrchestrates Validate and Learn phases of AIDLC for feature readiness.
AgenticFlowXManage spec.md lifecycle with automated review and approval workflows.
aws-samplesValidate AIDLC phase gates for compliance and operational readiness.
