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ai-eng-quality

Name: ai-eng-quality
Author: v1truv1us

By v1truv1us

Runs multi-model code reviews, strict architecture/security/performance audits, TDD cycles, and end-to-end testing with Playwright. Repo scanning and compatibility validation verify agent readiness. OWASP security scanning, dependency auditing, and adversarial LLM review surface blind spots before merge.

ClaudePluginHub fallbackgenerated from the plugin's indexed repository (v1truv1us/ai-eng-system) — no native marketplace selected

npx claudepluginhub p/v1truv1us-ai-eng-quality-plugins-ai-eng-quality

Popularity

Stars

Top 25%

Med: 0·Avg: 683

Copy clicks

Med: 0·Avg: 1

What's Inside

Slash Commands3

deep-review

/deep-review

Run all four review axes in parallel — code quality, security, architecture, and performance — each in its own isolated context. The most thorough review available.

repo-audit

/repo-audit

Principal-engineer repository audit with evidence-based findings and a prioritized improvement plan. Analysis only — no code changes.

verify

/verify

Run a standardized verification loop - lint, typecheck, test, build

Agents12

api-builder-enhanced

/api-builder-enhanced

Expert at building robust, scalable APIs with proper authentication, validation, rate limiting, and comprehensive documentation. Specializes in RESTful and GraphQL endpoints, OAuth2/JWT authentication, API documentation, rate limiting, caching, and performance optimization. Best for: new API development, API architecture review, authentication system design, and comprehensive documentation creation. Escalates to database-expert for complex queries, security-scanner for security review, and performance-engineer for optimization.

code-reviewer

/code-reviewer

Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with 2024/2025 best practices. Use PROACTIVELY for code quality assurance.

compatibility-scan-review

/compatibility-scan-review

Run the agent-compatibility CLI and return the raw repository score with its main problems

database-optimizer

/database-optimizer

Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. Handles complex query analysis, migration strategies, and performance monitoring. Use PROACTIVELY for database optimization, performance issues, or scalability challenges.

docs-reliability-review

/docs-reliability-review

Check whether the documented setup and run paths reliably lead to the real working path

Skills27

repo-audit

/repo-audit

Principal-engineer repository audit and prioritized improvement plan. Four phases - discovery, evidence-based audit, strategy, task plan - with file:line citations and severity ratings. Analysis only, no code changes. Use when asked to "audit this repo", "project review", "health check", "improvement plan", or after a model upgrade to re-baseline important projects.

thermo-nuclear-code-quality-review

/thermo-nuclear-code-quality-review

Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.

thermo-nuclear-performance-review

/thermo-nuclear-performance-review

Run an extremely strict performance review for runtime efficiency, memory usage, bundle size, database query patterns, and scalability limits. Use for a thermo-nuclear performance review, thermonuclear performance audit, or especially harsh performance review.

thermo-nuclear-security-review

/thermo-nuclear-security-review

Run an extremely strict security audit for auth flaws, injection vectors, secrets exposure, broken access control, and boundary validation failures. Use for a thermo-nuclear security review, thermonuclear security audit, or especially harsh security review.

verification-loop

/verification-loop

Continuous verification after each change, plus claim-based proof when evidence is required. Use when implementing, fixing bugs, or refactoring.

Stats

Version1.9.0

ReleasedJun 23, 2026

LanguageTypeScript

Stars7

Forks2

MaintenanceExcellent

LicenseMIT

Last CommitJun 23, 2026

AddedJul 8, 2026

Actions

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Safety Signals

Caution

Uses power tools

Uses Bash, Write, or Edit tools

README

AI Engineering System

AI engineering workflow toolkit for Claude Code and OpenCode with namespaced commands, 38 specialized agents, and reusable skills covering the full development lifecycle from idea to production.

Packages

This repository ships three npm packages:

@ai-eng-system/core - shared library and content-loading helpers
@ai-eng-system/toolkit - generated Claude Code, OpenCode, Cursor, Gemini, Pi, and marketplace assets
@ai-eng-system/cli - executable installer and command-line workflows

The repo root package is private and is never published.

Deploy on Coolify

Scheduled Research Runner (Pi cron on your VPS): docs/deploy/coolify.md

Optional docs site: docs-site/DEPLOYMENT.md

Quick Start

Install the CLI

npm install -g @ai-eng-system/cli

# Install commands, agents, and skills into the current project
ai-eng install --scope project

# Or install globally for OpenCode
ai-eng install --scope global

Claude Code

/plugin marketplace add v1truv1us/ai-eng-system
/plugin install ai-eng-system@ai-eng-marketplace

OpenCode

{
  "$schema": "https://opencode.ai/config.json",
  "plugin": ["opencode-skills", "ai-eng-system"]
}

OpenCode learning automation now surfaces toast-based suggestions for /ai-eng/decision-journal and /ai-eng/quality-gate, then waits for explicit /ai-eng/learning-approve, /ai-eng/learning-dismiss, or /ai-eng/learning-snooze consent. Local policy and state live under .ai-context/learning/.

Pi

pi install npm:@ai-eng-system/toolkit

Pi loads skills from .pi/skills/ and command prompts from .pi/prompts/ in the toolkit package.

Cursor

See docs/cursor-setup.md. Install @ai-eng-system/toolkit and use the generated .cursor-plugin bundle (skills, agents, and rules/cursor/).

Gemini CLI

See docs/gemini-cli-setup.md. Install @ai-eng-system/toolkit and copy the generated .gemini/ bundle (skills and commands).

Core Workflow

Phase	Command	Purpose
Research	`/ai-eng/research`	Multi-phase codebase and external research
Specify	`/ai-eng/specify`	Feature/spec generation with TCRO structure
Plan	`/ai-eng/plan`	Implementation planning
Work	`/ai-eng/work`	Guided execution with quality gates
Verify	`/verify`	Lint, typecheck, test, build gate
Review	`/ai-eng/review`	Multi-agent code review

Shorthand lifecycle entrypoints:

Shorthand	Canonical Command
`/spec`	`/ai-eng/specify`
`/build`	`/ai-eng/work`

/ai-eng/plan and /ai-eng/review are direct lifecycle entrypoints with no separate shorthand file.

Related commands:

/ai-eng/ralph-wiggum - iterative full-cycle workflow
/ai-eng/simplify - code reuse, quality, and efficiency simplification

What Is Included

Commands under the ai-eng/ namespace plus shorthand lifecycle entrypoints
38 specialized agents
Skills covering the full development lifecycle (Define, Plan, Build, Verify, Review, Ship) plus repository-specific workflows

Selected commands beyond the core workflow:

creation: /ai-eng/create-plugin, /ai-eng/create-agent, /ai-eng/create-command, /ai-eng/create-skill, /ai-eng/create-tool
quality and analysis: /ai-eng/code-review, /ai-eng/agent-analyzer, /ai-eng/fact-check, /ai-eng/deep-research, /ai-eng/content-optimize
operations: /ai-eng/deploy, /ai-eng/docker, /ai-eng/cloudflare, /ai-eng/github, /ai-eng/k8s, /ai-eng/monitoring, /ai-eng/security-scan
utilities: /ai-eng/context, /ai-eng/knowledge-capture, /ai-eng/knowledge-architecture, /ai-eng/decision-journal, /ai-eng/quality-gate, /ai-eng/maintenance-review, /ai-eng/learning-approve, /ai-eng/learning-dismiss, /ai-eng/learning-snooze, /ai-eng/init, /ai-eng/seo

Claude marketplace packaging note:

ai-eng-core keeps the core plan/work/review workflow
ai-eng-learning now packages /ai-eng/knowledge-architecture, /ai-eng/decision-journal, /ai-eng/quality-gate, /ai-eng/maintenance-review, /ai-eng/learning-approve, /ai-eng/learning-dismiss, and /ai-eng/learning-snooze
/ai-eng/knowledge-capture remains outside that plugin group

See docs/reference/commands.md for the full command list.

Skills

The generated outputs now preserve namespaced skill paths.

Examples:

skills/ai-eng/simplify/SKILL.md -> /ai-eng/simplify
skills/workflow/ralph-wiggum/SKILL.md -> /ai-eng/ralph-wiggum
skills/comprehensive-research/SKILL.md -> /ai-eng/research
skills/knowledge-architecture/SKILL.md -> /ai-eng/knowledge-architecture

See docs/reference/skills.md for the full skill inventory.

Optional: GTM skills (opt-in)

View full README on GitHub

ai-eng-quality

Popularity

What's Inside

Confidence

README

AI Engineering System

Packages

Deploy on Coolify

Quick Start

Install the CLI

Claude Code

OpenCode

Pi

Cursor

Gemini CLI

Core Workflow

What Is Included

Skills

Optional: GTM skills (opt-in)

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AI Engineering System

Packages

Deploy on Coolify

Quick Start

Install the CLI

Claude Code

OpenCode

Pi

Cursor

Gemini CLI

Core Workflow

What Is Included

Skills

Optional: GTM skills (opt-in)

Popularity

Health & Quality

More by v1truv1us

ai-eng-content

ai-eng-devops

v1truv1us-ai-eng-system

ai-eng-plugin-dev

ai-eng-core

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