How does this skill differ from standard AI website generation?

Unlike generic AI builders that rely on dated training data, this skill forces your AI to conduct real-time research, follow accessibility and SEO playbooks, and perform multi-stage validation before shipping any code.

Which AI models or platforms are compatible with this skill?

The skill is platform-agnostic; it works with any major AI (like ChatGPT, Claude, or Gemini) and can be implemented as a single 'Expert Builder' persona or a collaborative team of seven specialist roles.

What assets are included in the package?

You receive a comprehensive toolkit containing 14 prompts, 12 playbooks, 8 checklists, 7 specialized roles, and worked examples, all accessible via direct download or the `npx` command-line tool.

Does the skill handle technical optimization like site speed and security headers?

Yes, the package includes dedicated playbooks for performance (Lighthouse route budgets), accessibility (semantic journeys), and security (CSP headers) to ensure your sites meet professional production standards.

How does the skill ensure the code and frameworks used aren't outdated?

The skill uses a research-first methodology that requires the AI to verify current framework documentation and source dates, ensuring the code it writes isn't limited by its original training cutoff.

Works with the AI tools you already use

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Website Build Skill: Expert Website Builder for Any AI

Turns your AI into an expert website builder: current research, design, code, accessibility, speed, SEO and security, alone or as a team.

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Website Build Skill: Expert Website Builder for Any AI

Example session with this skill installed

I just installed website-build-skill in this project. List the project skills, invoke website-build-skill through your native skill mechanism, tell me which of its files you read, and tell me what its first job is before anything gets built. Do not write any files yet.

Read your context and instructions
Compiled the website build
Generated the UI component

(Real Claude Code run, 2026-09-24, Claude Opus. Receipt: github.com/aunysillyme/website-build-skill/blob/main/docs/evidence/host-trial-claude-code-2026-09-24.json)

1. Skills

Project-scoped (.claude/skills/): website-build-skill (the only one there).

2. Invocation

Entrypoint: .claude/skills/website-build-skill/SKILL.md
How I checked: I opened each file and read its first 3 lines. I read prompts/00-start.md in full.

Asset files it names:

READ: manifest.json

READ: prompts/00-start.md, 01-website-deep-research.md, 03-extract-brand-kit.md, 04-three-mockups.md, 05-stack-and-build.md, 06-site-audit.md, 07-accessibility-contrast.md, 08-seo-aeo.md, 09-security-headers.md, 10-adversarial-pre-ship.md, 11-ship-and-verify.md, 12-web-design-team.md, 13-coding-research.md

READ: playbooks/research-and-memory.md

READ: `checklists/research.md`, `brand-and-mockups.md`, `build.md`, `code-quality.md`, `accessibility.md`, `performance-seo.md`, `security.md`, `ship.md`

READ: templates/brief.md, brand.md, tokens.json, evidence.md, handoff.yaml, audit-brief.md, site-operations.md, status.md

3. First job

Researcher goes first.

Step one: set the ASK DATE (the date the work starts). It must not come from asking you or from model knowledge. The rule and the fallback steps for finding it are in `playbooks/research-and-memory.md#ask-date-rule`. The date, which step found it and the raw evidence go in `site-work/research/library/scope.md`.

Must produce first: the saved research library at site-work/research/library/, with a receipt for each source fetched. Its gate (research.md AD01-AD08, R01-R06, plus a check-library pass) must pass before any other job starts.

website-build-skill-expert-website-build.tsx

TSX · React component

Generated

Example file from a real run - the skill writes it into your workspace.

Connects securely to your tools. The creator never sees your data.

What you get

Design and build a production-ready site with integrated accessibility audits.Extract brand guidelines from existing assets to generate design mockups.Perform adversarial security and performance testing before site deployment.Keep a dated research library so every build works from current sources.

About this skill

The problem: an AI builds websites from what it remembered at training time: dated frameworks, generic layouts, and missed accessibility, speed and security basics.

What you get: research instructions that make your AI look up what is current on the day you ask, plus design, coding, accessibility, performance, search and security playbooks and checklists it follows on every site.

Twelve stages, every site

Research, Learn, Ingest, Scope, Match, Mock, Choose, Build, Prove, Protect, Challenge, Ship. Your AI researches before it designs, shows you three visual mockups before writing site code, and checks before it ships.

What your AI learns

Research: current sources across fourteen domains, with source dates, evidence and stale-claim rechecks.
Brand and design: brand token extraction and three desktop and mobile directions compared on hierarchy, type and composition.
Graphics and image rights: intended-use rights, responsive crops and formats, alt-text intent.
Stacks and code: the smallest fitting stack (static HTML, a static builder or a framework), validated content records, safe shared templates.
Accessibility: semantic structure, keyboard and screen-reader journeys, computed contrast, reflow and reduced motion.
Performance: route budgets, repeatable Lighthouse runs, lab vs field data, image, font and script costs.
Search and answer engines: SEO and AEO through visible answers, truthful structured data, canonical URLs, sitemaps and llms.txt.
Security headers: CSP and headers tailored to real resources, tested with the policy enforced.
Hosting and release: exact release artifacts, live route checks, rollback, and review by a different model family before ship.

Two ways to work

Teach my AI: one AI learns everything and does every job. Works with any AI.
Give me the team: seven specialist roles, starting with a researcher that gets them all current.

Inside the pack: 14 prompts, 12 playbooks, 8 checklists, 7 roles, templates and worked examples. MIT licensed, open source, also installable with npx website-build-skill.

How to install

Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

~30 seconds

1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.

Skills folder by agent

Click the path to copy it. Create the folder if it does not exist yet.

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Website Build Skill: Expert Website Builder for Any AI