Skip to content
FunCoding

Search

Search docs, Skills and MCP

replica-build

Rebuilds an app screen by screen from the recon map: app shell first, then the core flow as a vertical slice, then every screen with all its states, ticking off the feature matrix as it goes. Writes every line fresh, never the original's code, assets or copy. Use when the user says "build the clone", "build screen S07", "start building", "rebuild this screen", "implement the booking page", or after /replica-design.

AI 与智能体998replica-build/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/jakeschincariol/replica-skill/replica-build/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

replica-build

Reads replica/recon.md, replica/architecture.md, replica/design/. Updates replica/features.csv (the clone column) and keeps replica/build-log.md.

The rules

  • Clean room. Every line of code is written here, from the recon map and the specs. Never paste the original's HTML, CSS, JavaScript, SVGs or images, never load anything from its domain or CDN, never "view source and adapt".
  • Your words. Write every label, button, empty state and email fresh. Matching what a button does is parity. Matching its sentence is copying.
  • Tokens only. No raw hex or pixel values in components. If a value is missing, add it to the tokens.

Step 1: the shell

Routing for every screen in the inventory (stub pages are fine), the layout (nav, header, sidebar), tokens wired in, the primitives from replica-design, and seed data so screens have something real to show. Commit.

Step 2: the vertical slice

The core loop from the recon map, end to end, before anything else. For a booking app: create an event type, open the public page, book a slot, see it on the dashboard. Ugly is fine. Working is the point. If replica-backend has not run yet, use the seed data and a fake data layer with the same function signatures, so swapping in the real one changes no screen code.

Step 3: screen by screen

Work in the order of architecture.md. For each screen:

  1. Read its row in the recon map: purpose, components, states, which flows pass through it.
  2. Look at the reference screenshot for layout and hierarchy. Not for pixels.
  3. Build it with the primitives. Real data from the data layer.
  4. Every state: empty, loading (skeletons, not spinners, if the original does), filled, error, no permission, long content (a 60 character name), mobile width.
  5. Basics, every time: semantic HTML, labels on inputs, keyboard reachable, visible focus, images with alt text.
  6. Set the matching rows in features.csv to yes or partial (with a note).
  7. Screenshot it at the same viewport as the reference into replica/clone-screens/S07.png for replica-diff.
  8. One commit per screen: build: S07 booking page.

Definition of done, per screen

  • every state from the recon map, plus empty, error and loading
  • works at 390px and 1440px wide
  • keyboard only: can complete the flow
  • no console errors
  • no hard-coded copy borrowed from the original
  • features.csv updated
  • screenshot saved for diff

Step 4: the build log

replica/build-log.md, one line per screen: ID, date, done or partial, what is missing, what was harder than expected. When a feature is bigger than it looked, say so in the log and in the chat. Do not quietly ship half of it.

When you are stuck on how something works

Go back to the original as a user: read its help article, watch its public walkthrough, use the user's own account. Do not dig into its code or network calls. Then build your own version of the behaviour.

Output

Screens built, the feature matrix updated, screenshots saved, and a summary: screens done of total, must-haves done of total, what is next. Then /replica-backend if the data layer is still fake, else /replica-test.

Similar Skills

brand-guidelines
anthropics/skills180k

brand-guidelines

Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

AI & agents

internal-comms
anthropics/skills180k

internal-comms

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

AI & agents

template-skill
anthropics/skills180k

template-skill

Replace with description of the skill and when Claude should use it.

AI & agents

mcp-builder
anthropics/skills180k

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

AI & agents

algorithmic-art
anthropics/skills180k

algorithmic-art

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

AI & agents

academy-guide
anthropics/skills180k

academy-guide

Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.

AI & agents