Orchestrate AI coding pipeline stages with governance and quality gates.
npx skills add https://github.com/shangyankeji/super-dev --skill super-dev-core
Please help me install this Agent Skill. Skill: super-dev-core Source: https://github.com/shangyankeji/super-dev/tree/main/.kilocode/skills/super-dev-core Command: npx skills add https://github.com/shangyankeji/super-dev --skill super-dev-core
Super Dev pipeline governance provides a structured, auditable framework to manage research-first, commercial-grade AI coding delivery, reducing drift and misalignment across teams and stages.
Type /super-dev <command> in your host to activate the governance workflow.
High-intent search queries and answers about installing and using this skill.
Governing an AI coding pipeline requires automating role routing, integrating local knowledge bases for research, and enforcing quality gates across ideation, architecture, coding, testing, and deployment to ensure consistent, auditable commercial-grade delivery outcomes.
Research-first AI coding governance integrates project knowledge bases and lightweight web research to inform PRD, architecture, UI/UX, and tests, applying quality gates and governance checks to produce deliverables with traceable decisions and evidence.
To add quality gates and compliance checks to an AI coding workflow, orchestrate tasks through a local CLI host, applying governance rules at every stage to generate artifacts with traceable decisions and validate deliverables before release.
Yes, you can use local CLI and host rules to orchestrate AI coding tasks by routing roles through the local host, ensuring adherence to the workflow and coordinating actions across ideation, architecture, coding, validation, and release stages.
AI coding pipeline governance works for large team coordination by providing an auditable framework that manages research-first delivery, reducing drift and misalignment across teams and stages while maintaining compliance throughout the commercial-grade delivery process.
AI coding workflows suffer from drift and misalignment across teams due to the lack of a structured, auditable governance framework to manage research-first delivery, which can be resolved by enforcing process discipline and role routing.
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