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Website Cloner

Community
luongnv89
website-cloner

Build an improved website clone from a URL via 6-phase gated workflow (Vite/React/shadcn/Tailwind + GitHub Pages). Use for end-to-end site rebuilds. Don't use for single-phase work.

Overview

Publisherluongnv89
Repositoryskills
Skill namewebsite-cloner
Stars
124
Forks
18
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by luongnv89 on GitHub. Read the source before you install it.

Installation

Install the Website Cloner AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/luongnv89/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/website-cloner .claude/skills/website-cloner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Website Cloner in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Website Cloner on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Website Cloner is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Website Cloner

6-phase orchestrator that clones any website and produces an improved version — better performance, UI/UX, SEO, and security — built with Vite + React + shadcn/ui + Tailwind CSS, deployable to GitHub Pages.

When to Use

Trigger when the user asks to:

  • Clone, rebuild, or recreate a website ("clone this site", "make a better version of ")
  • Improve a website's performance, UI/UX, or SEO by analyzing and rebuilding it
  • Start a full website improvement workflow from a URL

Do not use for single-phase work (use the specific sibling skill directly).

Prerequisites

  • A target URL (publicly reachable preferred).
  • Write access to create a local project dir (defaults under ~/workspace/clones or $CLONE_DIR).
  • The sibling phase skills installed (website-analyzer, website-clone-report, etc.).
  • Optional: GitHub token if you want Pages deploy automation in Phase 5.
  • User approval at gates (explicit confirmation before Phases 3, 4, 5 advance).

If a prerequisite is missing, stop and report it — do not guess paths or credentials.

Workflow

Phase 1 — Analyze        → website-analyzer
Phase 2 — Report (gate)  → website-clone-report
Phase 3 — Propose (gate) → website-improvement-prd  (outputs prd.md)
Phase 4 — Plan  (gate)   → website-implementation-plan  (outputs tasks.md)
Phase 5 — Build          → website-builder
Phase 6 — Final Report   → website-clone-final-report

Approval gates after Phase 2, 3, and 4: the orchestrator must not advance without explicit user approval.

Artifacts (each written once, then referenced by name in the phases below): analysis.json — Phase 1's structured findings; report.md — Phase 2's plain-language summary; prd.md — Phase 3's improvement proposal; tasks.md — Phase 4's phased implementation plan, including the approved GitHub Actions artifact-deployment task; builder-metadata.json — Phase 5's build metadata, workflow-produced Pages URL, and structured post-deployment performance/SEO/security snapshot consumed by Phase 6; after-analysis.json — the comparable Phase 5 re-audit source. Phase 5 also produces base-aware Vite configuration and .github/workflows/deploy-pages.yml, which builds and deploys dist/ rather than publishing the repository root.

Layout

This umbrella and its phase skills live together in a single suite folder:

skills/website-cloner/                    ← this umbrella
├── SKILL.md                              ← orchestrator (you are here)
├── website-analyzer/                     ← Phase 1
├── website-clone-report/                 ← Phase 2
├── website-improvement-prd/              ← Phase 3
├── website-implementation-plan/          ← Phase 4
├── website-builder/                      ← Phase 5
└── website-clone-final-report/           ← Phase 6

Why nested: the phases are tightly coupled to this umbrella's data flow (analysis JSON → report → PRD → tasks → built site → final report). Keeping them in one folder makes the suite easy to browse, audit, and ship together. Each phase skill stays independently installable — the installers (install.sh, remote-install.sh) discover both top-level and nested skills.

When invoking phase skills below, refer to them by name (/website-analyzer, /website-clone-report, …); the runtime resolves names regardless of filesystem path.

See the individual phase skill docs for their full references/ and scripts/. This orchestrator stays short to fit the agent's context budget.

Repo Sync Before Edits (mandatory)

Before modifying files in a repository:

bash
branch="$(git rev-parse --abbrev-ref HEAD)"
git fetch origin
git pull --rebase origin "$branch"

If dirty, stash first:

bash
git stash push -u -m "website-cloner: pre-sync"
branch="$(git rev-parse --abbrev-ref HEAD)"
git fetch origin && git pull --rebase origin "$branch"
git stash pop

If origin is missing or rebase conflicts occur, stop and ask.

Setup

  1. Resolve working directory — the directory where the cloned website will be built. If $CLONE_DIR is set, use it. Otherwise ask the user once and save to ~/.config/website-cloner-dir.txt. Default: ~/workspace/clones.
  2. Create project folder under resolved root: YYYY_MM_DD_<slug_from_url>/
  3. Set $PROJECT_DIR to the created folder path.
  4. If no URL provided in $ARGUMENTS, ask the user for one.

Phase 1: Understand the Website

Invoke website-analyzer with the URL:

/website-analyzer <url> --output "$PROJECT_DIR/analysis.json"

The analyzer produces a structured analysis covering: UI/UX, category, style, performance (lcp_estimate_seconds, unitless cls_estimate, ttfb_estimate_seconds, page weight in KB, and request count), surface-level security, and SEO (overall score + per-dimension breakdown).

Check: Analysis file exists and covers all 6 dimensions. If any dimension is missing, note it but continue — partial results are acceptable for Phase 2.

Step Completion Report:

◆ Analyze (step 1 of 6 — <site name>)
······································································
  UI/UX profile:        √ pass | × partial — <gap>
  Category detected:    √ pass (<category>)
  Style analysis:       √ pass | × partial — <gap>
  Performance metrics:  √ pass (LCP=<val> CLS=<val>)
  Security surface:     √ pass | × partial — <gap>
  SEO score:            √ pass (<score>/100)
  ____________________________
  Result:               PASS | PARTIAL

Phase 2: End-User Report (GATE)

Invoke website-clone-report with the analysis output:

/website-clone-report "$PROJECT_DIR/analysis.json" --output "$PROJECT_DIR/report.md"

This skill produces a plain-language report for non-technical readers and prompts for approval before persisting. The orchestrator waits for user approval here.

Check: report.md exists and was approved by the user.

Step Completion Report:

◆ Report (step 2 of 6 — <site name>)
······································································
  Report written:       √ pass (report.md)
  User approved:        √ pass | × pending
  ____________________________
  Result:               PASS | BLOCKED

If not approved, do not advance. Ask the user to review the report and approve or request changes.

Phase 3: Improvement Proposal (GATE)

Invoke website-improvement-prd with the approved report and analysis:

/website-improvement-prd "$PROJECT_DIR/report.md" "$PROJECT_DIR/analysis.json" --output "$PROJECT_DIR/prd.md"

This skill produces a full improvement proposal with what/why/value for each change and writes prd.md after user approval.

Check: prd.md exists and was approved.

Step Completion Report:

◆ Proposal (step 3 of 6 — <site name>)
······································································
  prd.md written:       √ pass
  User approved:        √ pass | × pending
  Changes catalogued:   √ pass (<N> proposed changes)
  ____________________________
  Result:               PASS | BLOCKED

Phase 4: Implementation Plan (GATE)

Invoke website-implementation-plan with prd.md:

/website-implementation-plan "$PROJECT_DIR/prd.md" --output "$PROJECT_DIR/tasks.md"

This skill produces a phased implementation plan with landing page first, asset collection vs. creation, individual tasks, and a deterministic GitHub Actions Pages artifact deployment from base-aware Vite dist/ output — written to tasks.md after user approval.

Check: tasks.md exists and was approved.

Step Completion Report:

◆ Plan (step 4 of 6 — <site name>)
······································································
  tasks.md written:     √ pass
  User approved:        √ pass | × pending
  Phases defined:       √ pass (≥ 2 phases)
  Landing page first:   √ pass
  Pages artifact task:  √ pass (base-aware dist/)
  ____________________________
  Result:               PASS | BLOCKED

Phase 5: Build

Invoke website-builder with tasks.md and prd.md:

/website-builder "$PROJECT_DIR/tasks.md" "$PROJECT_DIR/prd.md" --output "$PROJECT_DIR/"

This skill executes the plan, builds the site (Vite + React + shadcn/ui + Tailwind), and deploys the verified dist/ artifact through .github/workflows/deploy-pages.yml. The workflow sets the Vite base to / for a user/organization Pages repository or /<repo>/ for project Pages; repository-root and branch-folder publishing are forbidden. It then re-runs website-analyzer against the responsive workflow-produced Pages URL and emits the structured after snapshot in metadata for Phase 6. If deployment or the re-audit is incomplete, Phase 5 must return PARTIAL and preserve nulls/errors rather than inventing metrics.

Step Completion Report:

◆ Build (step 5 of 6 — <site name>)
······································································
  Landing page built:   √ pass
  Assets collected:     √ pass (<N> assets)
  Assets created:       √ pass (<N> assets)
  Pages dist artifact:  √ pass | × unavailable
  GitHub Pages URL:     √ pass (<url>) | × unavailable
  After metrics:        √ complete | × partial ([performance/SEO/security gaps])
  ____________________________
  Result:               PASS | PARTIAL | FAIL

Phase 6: Final Comparison Report

Invoke website-clone-final-report with the analysis baseline and builder metadata:

/website-clone-final-report "$PROJECT_DIR/analysis.json" "$PROJECT_DIR/builder-metadata.json" --output "$PROJECT_DIR/final-report.md"

This skill validates the baseline and structured post-deployment snapshot, then produces a before/after comparison covering performance, SEO, security, UI/UX changes, deviations, and the GitHub Pages URL. It must propagate PARTIAL when any required performance, SEO, or security comparison is unavailable.

Step Completion Report:

◆ Final Report (step 6 of 6 — <site name>)
······································································
  final-report.md:      √ pass
  Performance delta:    √ pass (before→after) | × partial ([missing])
  SEO delta:            √ pass (before→after) | × partial ([missing])
  Security comparison:  √ pass (before→after) | × partial ([missing])
  Deviations listed:    √ pass | × none
  ____________________________
  Result:               PASS | PARTIAL | FAIL

Expected Output

◆ Website Cloner — <site name>
┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄
  Phase 1  Analyze      √ pass
  Phase 2  Report       √ approved
  Phase 3  Proposal     √ approved (prd.md)
  Phase 4  Plan         √ approved (tasks.md)
  Phase 5  Build        √ pass | × partial
  Phase 6  Final Report √ pass | × partial | × fail
  Overall Result:       PASS | PARTIAL | FAIL

  GitHub Pages: https://<user>.github.io/<repo>/
  Project:      <project_dir>

The overall result is the worst Phase 1–6 result. Never report overall PASS when the Phase 5 after snapshot or any Phase 6 required comparison is partial, unavailable, or failed.

Edge Cases

  • Unreachable URL: Stop Phase 1, report error, do not continue. Ask user for a different URL.
  • JS-heavy SPA with no crawlable content: Note the limitation in Phase 1, proceed with best-effort analysis. The build phase may need user-supplied assets to compensate.
  • User denies approval at any gate: Stop the pipeline. Do not auto-proceed. The user can re-run the skill to resume.
  • Missing sibling skill: If a sibling skill is not available, skip that phase and note it in the report. Continue where possible, but the overall result cannot exceed PARTIAL.
  • Partial Phase 1 results: If the analyzer returns partial data (e.g., no SEO score), proceed to Phase 2 with a note; Phase 6 and the overall workflow remain PARTIAL when a required baseline comparison is unavailable.
  • Partial Phase 5 re-audit: Continue to Phase 6 so it can document the gaps, but both Phase 6 and the overall workflow must return PARTIAL unless report creation itself fails.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Website Cloner AI skill do?

Build an improved website clone from a URL via 6-phase gated workflow (Vite/React/shadcn/Tailwind + GitHub Pages). Use for end-to-end site rebuilds. Don't use for single-phase work.

Why use Website Cloner on TypingMind?

Because you install it once and use it with any model. Website Cloner is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Website Cloner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/luongnv89/skills/tree/main/skills/website-cloner. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Website Cloner?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Website Cloner?

As many as you like. As long as a model supports skills, you can use Website Cloner with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Website Cloner AI skill free?

Yes. It is published on GitHub by luongnv89 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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