{"slug": "how-i-built-a-full-stack-quality-skill-for-ai-coding-agents", "title": "How I Built a Full-Stack Quality Skill for AI Coding Agents", "summary": "A developer built Full-Stack Quality Skill, a reusable AI coding skill for full-stack audits, architecture guidance, long-term project memory, and CI quality gates. The skill enables AI agents like Cursor, Codex, and Claude Code to perform structured, parallel reviews across areas such as backend, frontend, security, and database, producing both human-readable Markdown and structured JSON output. The project is available on GitHub and a dedicated website.", "body_md": "AI coding agents are getting very good at writing code.\n\nBut I kept running into the same problem:\n\nThey can move fast, but without strong project rules they can also create messy architecture, duplicate utilities, inconsistent APIs, weak security checks, and frontend components that slowly drift away from the design system.\n\nSo I built **Full-Stack Quality Skill**.\n\nIt is a reusable AI coding skill for full-stack audits, architecture guidance, long-term project memory, and CI quality gates.\n\nRepo: [https://github.com/lablnet/full-stack-quality-skill](https://github.com/lablnet/full-stack-quality-skill)\n\nWebsite: [https://skills.lablnet.com](https://skills.lablnet.com)\n\nWhen I use AI agents like Cursor, Codex, Claude Code, Antigravity, or similar tools, I do not only want them to \"write code\".\n\nI want them to think like a careful senior engineer:\n\nThat is a lot to remember every time.\n\nSo instead of repeating the same instructions in prompts, I turned them into a reusable skill.\n\nThe skill includes audit areas for:\n\nIt also includes examples for common stacks:\n\nOne important rule:\n\nAudit mode is read-only.\n\nThat means the agent should not edit source code, schemas, configs, docs, generated files, or lockfiles unless I explicitly ask it to.\n\nThis matters because sometimes I want an honest review before touching anything.\n\nFor a small audit, it can produce:\n\n```\nreview.md\nfindings.json\n```\n\nFor a broader audit, it can produce per-area files:\n\n```\nreview.md\nfindings/\n  backend.findings.json\n  frontend.findings.json\n  security.findings.json\n  database.findings.json\n```\n\nMarkdown is for humans.\n\nJSON is for structured audit output.\n\nOne thing I really wanted was parallel review.\n\nFor a whole-project audit, the skill tells the agent to run separate read-only auditors in parallel:\n\nIf the project does not use GraphQL, the GraphQL auditor is skipped.\n\nThis makes the review much cleaner than one huge generic pass.\n\nEach auditor focuses on one area and returns evidence-backed findings.\n\nThe skill also has an optional project context mode.\n\nThat means it can help generate long-term project docs such as:\n\n```\ndocs/\n  agents.md\n  architecture.md\n  decisions.md\n  security.md\n  testing.md\n  migration-backlog.md\n  audit/\n    inventory.json\n    drift-report.md\n    findings/\n```\n\nThis is useful because AI agents need memory.\n\nNot memory like \"remember my favorite color\".\n\nProject memory like:\n\nWithout this, every new AI session starts from zero.\n\nAnother useful idea is drift detection.\n\nDrift means the docs and the code no longer agree.\n\nFor example, the docs say:\n\nAll database access must go through repositories.\n\nBut later someone adds a controller that calls the database directly.\n\nThat is drift.\n\nThe skill can create a drift report so future agents do not blindly trust stale documentation.\n\nThe skill can also be used as a CI-style review gate.\n\nFor example, on a pull request it can check:\n\nThis can be advisory or blocking depending on the project.\n\nFor Cursor, I use it as a project tool:\n\n```\ngit submodule add https://github.com/lablnet/full-stack-quality-skill.git .cursor/tools/full-stack-quality\n```\n\nThen create:\n\n```\n.cursor/rules/full-stack-quality.mdc\n```\n\nWith:\n\n```\n---\ndescription: \"Full-stack quality review for database, backend, frontend, APIs, GraphQL, security, testing, performance, observability, delivery, and utilities.\"\n---\n\nRead .cursor/tools/full-stack-quality/SKILL.md and follow it.\n```\n\nThen I can ask:\n\n```\nUse full-stack-quality to audit the whole project read-only.\nRun all relevant auditors in parallel.\nCreate review.md and findings/<area>.findings.json files.\n```\n\nFor Codex-style agents:\n\n```\ngit submodule add https://github.com/lablnet/full-stack-quality-skill.git tools/full-stack-quality\n```\n\nThen add this to `AGENTS.md`\n\n:\n\n```\nFor full-stack quality reviews, read tools/full-stack-quality/SKILL.md\nand follow it. Supporting files are in the same folder.\n```\n\nThe biggest lesson is that AI coding agents need structure.\n\nA better prompt helps.\n\nBut a reusable skill is much better.\n\nIt gives the agent:\n\nAnd once it is in the repo, the whole team can use the same rules.\n\nAI coding tools are powerful, but power without taste and boundaries can make a codebase worse.\n\nThis skill is my attempt to give AI agents better engineering judgment.\n\nNot by making them slower.\n\nBy making them more consistent.\n\nIf you want to try it:", "url": "https://wpnews.pro/news/how-i-built-a-full-stack-quality-skill-for-ai-coding-agents", "canonical_source": "https://dev.to/lablnet/how-i-built-a-full-stack-quality-skill-for-ai-coding-agents-38en", "published_at": "2026-07-21 09:49:51+00:00", "updated_at": "2026-07-21 10:01:07.237695+00:00", "lang": "en", "topics": ["artificial-intelligence", "developer-tools", "ai-agents", "ai-products"], "entities": ["Full-Stack Quality Skill", "Cursor", "Codex", "Claude Code", "Antigravity", "lablnet", "GitHub"], "alternates": {"html": "https://wpnews.pro/news/how-i-built-a-full-stack-quality-skill-for-ai-coding-agents", "markdown": "https://wpnews.pro/news/how-i-built-a-full-stack-quality-skill-for-ai-coding-agents.md", "text": "https://wpnews.pro/news/how-i-built-a-full-stack-quality-skill-for-ai-coding-agents.txt", "jsonld": "https://wpnews.pro/news/how-i-built-a-full-stack-quality-skill-for-ai-coding-agents.jsonld"}}