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engineering-kernel

Bootstrap or audit agent-led engineering workflows with policy YAML and template files.

2|Updated Apr 17, 2026
Search Tags:#workflow#github#agent#orchestration#engineering#bootstrap
One-click install
npx skills add https://github.com/alexxety/agent-engineering-kernel --skill engineering-kernel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: engineering-kernel
Source: https://github.com/alexxety/agent-engineering-kernel/tree/main
Command: npx skills add https://github.com/alexxety/agent-engineering-kernel --skill engineering-kernel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill eliminates the need to re-explain engineering workflows from chat memory for every new agent or repository. It provides a universal, reusable kernel that establishes PRD-first execution, GitHub issue decomposition, verification discipline, and multi-agent coordination rules that work across GPT/Codex and Claude-style agents.

Core Features & Use Cases

  • Project Bootstrap: Materialize a complete engineering operating system into any repository, including AGENTS.md, CONTRIBUTING.md, issue templates, PR templates, and label sync scripts.
  • Workflow Canon Enforcement: Enforce PRD-first execution, research policy, bug intake, kernel sync review, and session issue sync closeout without relying on chat memory.
  • Multi-Agent Orchestration: Define orchestrator/worker/reviewer limits, concurrency rules, recovery protocols, and Claude Code subagent adapter rules for production-bound work.
  • Use Case: A team launching a new repository can run the bootstrap script and immediately have a complete, auditable engineering workflow that any future agent can follow without re-explanation.

Quick Start

Use the engineering-kernel skill to bootstrap or audit a repository's engineering workflow by applying the canonical project files and verifying kernel currency.

Frequently Asked Questions about engineering-kernel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I bootstrap an agent-led engineering workflow in a new repository?▼

To bootstrap an agent-led engineering workflow, you materialize canonical project files like AGENTS.md, issue templates, and PRD-first policies into the repository. This provides a deterministic operating system that eliminates chat-memory dependence for future agents.

What is PRD-first execution and how does it work with GitHub issue decomposition?▼

PRD-first execution is a workflow canon that enforces building from product requirements before coding. It works with GitHub issue decomposition by breaking down PRDs into structured, machine-readable tasks that orchestrator and worker agents can process deterministically.

Can I use this engineering kernel for multi-agent orchestration with both GPT and Claude models?▼

Yes, the engineering kernel is model-agnostic and supports multi-agent orchestration across GPT/Codex and Claude-style agents. It defines orchestrator, worker, and reviewer limits alongside concurrency rules and Claude Code subagent adapter rules for production-bound work.

What's the best way to enforce workflow canon and verification discipline without relying on chat memory?▼

The best way to enforce workflow canon without chat memory is applying machine-readable policy YAML and project-local templates. This establishes deterministic verification discipline and bug intake rules that all current and future agents must follow.

How do I audit an existing repository for kernel drift and workflow policy compliance?▼

You audit a repository for kernel drift by running the bootstrap script's verification logic against existing project files. This detects missing AGENTS.md configurations, outdated templates, and unenforced engineering policies to ensure multi-agent coordination remains compliant.

Do I need specific dependencies to apply engineering workflow templates across different agents?▼

No external dependencies are required to apply the engineering workflow templates. The kernel provides self-contained bootstrap scripts and materialized project-local files, ensuring any repository can enforce multi-agent release coordination immediately without extra package installations.

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