Agent skill

Pixel Perfect Clone

by alex-durango in alex-durango/pingfusi

Clone, copy, or replicate a website/page pixel-perfect using pingfusi.

MITAuto-check passedFrontend & Design

Install Pixel Perfect Clone

skills CLI
$ npx skills add alex-durango/pingfusi --skill pixel-perfect-clone -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alex-durango/pingfusi pixel-perfect-clone --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alex-durango/pingfusi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill/pixel-perfect-clone .claude/skills/pixel-perfect-clone && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pixel-perfect-clone
GitHub stars
124
Token cost
~2.7k tokens
SKILL.md length
1,496 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Clone, copy, or replicate a website/page pixel-perfect using pingfusi.

  • Works in 6 steps: Preflight. Run pingfusi doctor. If… → Get the three values. URL (ask if not… → Follow the kit's own instructions… → …
  • The user asks to clone a site
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Page with pingfusi

What it does

Pixel Perfect Clone is an agent skill from alex-durango/pingfusi. Clone, copy, or replicate a website/page pixel-perfect using pingfusi. Use when the user asks to clone a site or page with pingfusi, copy a webpage's design, replicate a page, or make a pixel-perfect copy of a URL. Drives the full enforced pipeline - capture, numeric gates, behavior reproduction, and review rounds answered by an independent reviewer on the pingfusi service - iterating until that reviewer approves.

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Frontend & Design, covering Design to code. It works with Model Context Protocol. The repository describes itself as: MCP server + CLI that puts a real human in your coding agent's loop. It publishes work mid-task, a reviewer pins what's wrong and returns a verdict, and the agent iterates until… The licence is MIT.

When your agent uses it

  • The user asks to clone a site
  • Page with pingfusi
  • Copy a webpages design
  • Replicate a page

Example prompts

  • “/pixel-perfect-clone”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Preflight. Run pingfusi doctor. If anything required fails, show the user the fix
  2. Get the three values. URL (ask if not given). WIDTH: default 1728 (the kit's own
  3. Follow the kit's own instructions exactly. Read KIT/docs/LAUNCH-PROMPT.md (the run
  4. Tell the user how review works (first run especially): each round goes to an
  5. Iterate until done. The filing command automatically chains client-safe wait
  6. Report with receipts: the final pingfusi status table, gate outputs, the round

What it can do on your machine

Read from SKILL.md and the folder at commit cec753b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pixel Perfect Clone loads about 2.7k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 1,496 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from alex-durango/pingfusi at commit cec753b, republished under its MIT licence (© alex-durango). 1,496 words, ~2,737 tokens.

Download SKILL.mdSave it as .claude/skills/pixel-perfect-clone/SKILL.md (or your agent's skills folder).
name
pixel-perfect-clone
description
Clone, copy, or replicate a website/page pixel-perfect using pingfusi. Use when the user asks to clone a site or page with pingfusi, copy a webpage's design, replicate a page, or make a pixel-perfect copy of a URL. Drives the full enforced pipeline - capture, numeric gates, behavior reproduction, and review rounds answered by an independent reviewer on the pingfusi service - iterating until that reviewer approves.

Clone a site pixel-perfect (pingfusi)

The pixel-perfect-kit is an enforced, receipt-driven pipeline: a phase is done because its gate command exits 0, never because anyone says so. Your job is to drive it end to end; review rounds are answered by an INDEPENDENT human reviewer on the pingfusi service — not by the user, and never by you.

Steps

  1. Preflight. Run pingfusi doctor. If anything required fails, show the user the fix lines and stop until resolved. Run pingfusi where → KIT (the installed kit's directory; all docs below live there).

  2. Get the three values. URL (ask if not given). WIDTH: default 1728 (the kit's own default — omit the argument) unless the user specifies; a width must be a positive number of pixels (pingfusi new refuses anything else). NAME: a short slug from the domain (e.g. stripe for stripe.com). Targets are created under the CURRENT working directory (targets/<NAME>/) — cd to the user's preferred workspace first.

  3. Follow the kit's own instructions exactly. Read KIT/docs/LAUNCH-PROMPT.md (the run contract + environment notes) and KIT/docs/CLONE-ANY-SITE.md (the method), and execute them with the three values. They override any assumption you have. Key expectations:

    • Build by CAPTURE (pingfusi capture-build), never hand-reconstruction.
    • Settle the page before capturing the DOM, and CHECK that it settled. await pxScrollSettle() returns {stable, …} — stable:false means STOP, do not capture: the page was still mounting content and the DOM is one that never existed. Reaching the bottom is not being settled; a late-hydrating section is missing from the capture, so it is missing from the leaf enumeration, so every gate goes green over a page with a hole in it. After building, clone-lint must exit 0 — it FAILs an empty mount point, a frozen reveal, and the automation extension's own overlay DOM if it was captured.
    • Every phase advances only through its gate: pingfusi advance <NAME> <phase>. Never use --force. pingfusi status <NAME> always tells you what's next.
    • Capture: pingfusi capture-run <NAME> FIRST (the default) — settle + measure + DOM
      • coverage in a kit-owned INVISIBLE Chrome; artifacts land in targets/<NAME>/ directly, no sink, no tabs in anyone's browser, and the settle polling happens in-page instead of through your round-trips. --side auto does live until the clone exists, then both. FALL BACK to the interactive path only when capture-run says so (bot wall, no Chrome, probe refusal — its errors name the fallback): pingfusi capture open <NAME> (hosted session), ONE call per tab — await pxCaptureAllPhased('<sink_url>') on live, {prefix:'clone'} on the clone — then pingfusi capture pull <NAME> --all. (Phased = settle → freeze animation phase → measure: both sides must measure at a FIXED animation phase or never-settling animations fail gates on a correct clone.) Drafts are hosted too: pingfusi draft <NAME> push. No cloudflared needed. Anything static that is NOT the clone target — a page or route in your own app, any built dir — hosts the same way: pingfusi publish <built-dir>. No tunnel, no preview deploy; tunnel only what genuinely needs its own live server.
    • Behavior discovery needs document.hidden === false. If your browser tooling reports tabs hidden PERMANENTLY (some automation stacks do), skip in-tab discovery — it can never pass the gate, and --force poisons done. Run pingfusi behavior-capture <NAME> instead (kit-owned Chrome, both sides, probe-gated; name marquees/hovers in targets/<NAME>/behavior-opts.json).
    • Route by measured capability, not by which command you remember. Run pingfusi next <NAME> when a gate is red or the next utility is unclear. Static geometry/paint stays with pixel diff and layout compare; mounted/triggered state stays with behavior capture. Timing, easing, springs, stagger, scroll/pointer-driven motion, canvas, and WebGL use the printed pingfusi motion … machine command; the side-by-side compare round is the one reviewer channel for anything visual, motion included.
    • Animations are DEFAULT-ON in the draft build (first-draft doctrine): capture-run records the live page's animations into motion-doc.json, and capture-build runs the motion pass automatically — captured CSS carries the css/transition tiers, gsap/waapi/sampled tiers get the generated WAAPI player (exact parameters), and every action or skip is a receipt (motion-pass.json + motion-items.json) with warnings, never failures. Re-run it standalone with pingfusi motion pass <NAME> (e.g. after a re-capture, or on a hand-built clone). Motion never blocks a gate and never files a review round. Never put temporal evidence in behavior-deviations.json — that file is for unsupported non-temporal interaction/state rows.
    • For a difficult animation, follow pingfusi next <NAME>: it routes the deep machine checks from the pass's bookkeeping — pingfusi motion verify-introspected (exact keyframe/timing diff of the page's own engine declarations, live vs clone), or the sampled chain motion sample → motion apply-sampled → motion verify-sampled (identical virtual-time stimulus, per-frame diff, ongoing motion verified by its motion law). These are commands that exit 0 or 1 — receipts, not gates, and no review round exists in the motion path. Scroll/pointer-linked and canvas/WebGL models stay engine machinery (motion trace/loop/export), receipted and never auto-applied by the pass.
    • Reviewers flag motion in the page round like any other observation (there is no structured temporal probe and no typed motion round): if a note says an animation is missing, different, or mistimed, fix it through the routed motion utilities (pingfusi next <NAME> prints the exact command), redeploy, refile.
    • A blocked gate is a ladder, not a stop. When a gate refuses, its message names the way out — try THAT first (hidden tabs → behavior-capture above). If a reviewer's one look could unstick you, that's pingfusi assist <NAME>. Only when the provided remedies are genuinely exhausted (an environment constraint you cannot fix from here): receipt it with pingfusi advance <NAME> <phase> --blocked "what you tried and why it failed", then KEEP GOING — file the round; the spec documents the gap to the reviewer automatically. A blocked phase is not done (done refuses it until re-advanced with a passing gate), but a filed round with a named gap ships a fix list; a stopped session ships nothing. Motion never blocks this ladder — its receipts are informational.
    • All reviewer contact through pingfusi review <NAME> … (file/poll/verify) — never through any MCP directly. First filings carry --context "one line: what this site/page is and where to look" (the reviewer sees it); refiles carry --changelog "what changed". Full rounds default to 1 result. Request --results 5 for a broader read and --results 15 to --results 20 only for complex work or higher confidence. Each completed result costs 1 credit; undelivered results are not charged.
    • No pingfusi login (doctor shows it missing)? STOP and tell the user to run pingfusi setup — review rounds require the login; there is no offline review path.
    • If the SERVICE side blocks filing a round (login, filing errors), STOP and tell the user exactly what failed — never invent a substitute for independent review. A red or environment-blocked GATE is not that case: it has the ladder above.
  4. Tell the user how review works (first run especially): each round goes to an independent reviewer on the pingfusi service — NOT to the user. The reviewer opens the hosted draft and the original side by side, pins comments on what looks wrong, and picks a verdict; the reviewer's browser rendering of the original is the ground truth (the reference site may serve them a different variant than yours — LEARNINGS #20). The user's job is simply to wait; their taste enters through the result and through any change requests they give you directly.

  5. Iterate until done. The filing command automatically chains client-safe wait legs until feedback. If a raw MCP leg returns pending, immediately call pingfusi_wait again; never return pending to the user or file a duplicate. Each leg renews the short idle lease; passive result/verify reads do not (a lapse only pulls the round from the feed for new claims; a reviewer mid-review can still finish). Act on every verdict immediately: fix from the site's own captured artifacts (authored mechanisms, never invented values), re-green the gates, and refile with a changelog; that filing owns the next wait too. When pingfusi score or pingfusi status prints STALLED, do not run another blind iteration: run pingfusi next <NAME> first. If it reports layout, run pingfusi assist <NAME> --compare — a scoped side-by-side diagnostic round auto-composed from the failing gate's own artifacts; a reviewer names in one look what costs you three iterations. --compare is required: the old text-only question format is retired (a reviewer can't act on an element question without seeing both pages), and bare pingfusi assist <NAME> refuses with exactly this nudge. It reuses the target's recorded hosted draft after re-verifying it — you only re-push if the draft went stale. Assists don't block you: keep iterating while one is pending and re-check the answer (free) with the printed assist-result command between iterations. Never open a second ask while one is pending. Done = pingfusi gate <NAME> done exits 0 — all ten phases, including a real approving verdict from the reviewer. A first draft, green machine gates, or a filed round are NOT done: ending your turn before done, without being blocked on the reviewer, is an incomplete run — say exactly what remains and what will wake you.

  6. Report with receipts: the final pingfusi status <NAME> table, gate outputs, the round history, and the clone's location (targets/<NAME>/clone/).

© alex-durango, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skill/pixel-perfect-clone of alex-durango/pingfusi.

Open the folder on GitHubat commit cec753b

Compare with similar skills

Pixel Perfect Clone next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pixel Perfect Clone compared with similar skills
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Pixel Perfect Clone this skillalex-durango/pingfusi124—~2.7kAutomated safety check: PassMIT
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Figma Design to Codewarpdotdev/warp65k4 repos~2.9kAutomated safety check: PassAGPL-3.0
Figma Code Connect Componentswarpdotdev/warp65k2 repos~4.2kAutomated safety check: PassAGPL-3.0
Figma Screen Generatorwarpdotdev/warp65k2 repos~5kAutomated safety check: PassAGPL-3.0
Build Figmacursor/plugins10k—~961Automated safety check: PassNone

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Questions about Pixel Perfect Clone

What does Pixel Perfect Clone do?

Clone, copy, or replicate a website/page pixel-perfect using pingfusi. Pixel Perfect Clone is an agent skill from alex-durango/pingfusi. Clone, copy, or replicate a website/page pixel-perfect using pingfusi.

When should I use Pixel Perfect Clone?

Pixel Perfect Clone fits situations like: the user asks to clone a site; page with pingfusi; copy a webpages design; replicate a page.

How do I install Pixel Perfect Clone in Claude Code?

Run `npx skills add alex-durango/pingfusi --skill pixel-perfect-clone -a claude-code`. Or copy the skill folder (skill/pixel-perfect-clone in alex-durango/pingfusi) into .claude/skills/pixel-perfect-clone in your project. Claude Code loads it when a task matches its description.

How do I install Pixel Perfect Clone in Codex?

Run `npx skills add alex-durango/pingfusi --skill pixel-perfect-clone -a codex`. Or copy the skill folder (skill/pixel-perfect-clone in alex-durango/pingfusi) into .agents/skills/pixel-perfect-clone in your project. Codex loads it when a task matches its description.

Can I use Pixel Perfect Clone in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alex-durango/pingfusi --skill pixel-perfect-clone -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pixel-perfect-clone, .gemini/skills/pixel-perfect-clone, .github/skills/pixel-perfect-clone and .opencode/skills/pixel-perfect-clone in your project.

What does Pixel Perfect Clone need to run?

SKILL.md names no scripts, command-line tools or credentials: Pixel Perfect Clone is instructions for the agent only.

Does Pixel Perfect Clone access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Pixel Perfect Clone safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Pixel Perfect Clone use?

Pixel Perfect Clone is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pixel Perfect Clone use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pixel Perfect Clone?

Skills that share tags, products or a category with Pixel Perfect Clone: Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars), Figma Design to Code (warpdotdev/warp, 65k stars), Figma Code Connect Components (warpdotdev/warp, 65k stars) and Figma Screen Generator (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pixel Perfect Clone?

alex-durango (a GitHub user) maintains it in alex-durango/pingfusi, which has 124 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 9, 2026.

Source: alex-durango/pingfusi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.