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Replica Architect

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Jakeschincariol
replica-architect

Plans the stack, database schema and API for an app clone, from the recon map replica-recon wrote. Picks boring, managed tech, turns the inferred data model into real SQL with indexes and access rules, lists every route by flow, and orders the build as a thin vertical slice first. Use when the user says "plan the clone", "what stack should I use", "design the database", "write the schema", "plan the API", "architecture for my version of X", or after /replica-recon finishes.

Overview

PublisherJakeschincariol
Repositoryreplica-skill
Skill namereplica-architect
Stars
1.9K
Forks
275
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 Jakeschincariol on GitHub. Read the source before you install it.

Installation

Install the Replica Architect 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.
    https://github.com/Jakeschincariol/replica-skill/tree/main/replica-architect
  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/Jakeschincariol/replica-skill.git /tmp/replica-skill
mkdir -p .claude/skills
cp -r /tmp/replica-skill/replica-architect .claude/skills/replica-architect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Replica Architect 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 Replica Architect 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 Replica Architect 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.

replica-architect

Reads replica/recon.md and replica/features.csv. Writes replica/architecture.md (template: architecture.md in this folder).

If there is no recon map, stop and run /replica-recon first. Planning a clone from memory of what an app does is how you miss half of it.

Step 1: the stack

Use what the user already knows if they have a stack. Otherwise the default, because every part is managed, documented and cheap at zero users:

layerdefaultswap for
web appNext.js (App Router) + TypeScriptRemix, SvelteKit, Rails
stylingTailwind, tokens from replica-designCSS modules
mobileExpo (React Native)SwiftUI, Kotlin
databasePostgres on Supabase or NeonPlanetScale, SQLite (Turso)
ORMDrizzle or Prismaraw SQL
authSupabase Auth or Auth.jsClerk
paymentsStripe Checkout + BillingLemon Squeezy, Paddle
emailResend or PostmarkSES
jobsVercel Cron, Inngest or Trigger.deva worker on Fly
filesSupabase Storage or Cloudflare R2S3
hostingVercelNetlify, Fly, Render

Write each choice with one line of why. One database. No microservices. The clone does not need the original's architecture, it needs the original's features.

Step 2: the schema

Turn the inferred data model into SQL. For every table:

  • id uuid primary key default gen_random_uuid(), created_at, updated_at
  • an owner column (user_id or org_id) on everything a user owns
  • foreign keys with an on delete rule decided, not defaulted
  • indexes on every foreign key and every column you filter or sort by
  • enums or check constraints for status fields
  • times as timestamptz, always, stored in UTC
  • money as integer cents plus a currency column
  • access rules: Postgres row level security on Supabase, or one authorisation check per query in the data layer. Write which.

Example, for a booking app:

sql
create table bookings (
  id uuid primary key default gen_random_uuid(),
  event_type_id uuid not null references event_types(id) on delete cascade,
  host_id uuid not null references users(id) on delete cascade,
  start_at timestamptz not null,
  end_at timestamptz not null,
  guest_name text not null,
  guest_email text not null,
  guest_timezone text not null,
  status text not null default 'confirmed'
    check (status in ('confirmed','cancelled','rescheduled')),
  answers jsonb not null default '{}',
  created_at timestamptz not null default now(),
  constraint no_zero_length check (end_at > start_at)
);
create index on bookings (host_id, start_at);

Then the hard constraints the recon found. Two guests booking the same slot is a database problem (an exclusion constraint or a unique index), not a UI problem.

Step 3: the API

One table per flow from the recon map. For every route or server action:

method path | what it does | who can call it | input | output | flow

Plus webhooks in (Stripe, calendar providers) and out, and background jobs (reminders, sync, cleanup) with their schedule.

Only official, public APIs with the user's own keys. Never the original app's private endpoints, even if they are visible in a browser.

Step 4: the parts that bite

Write a line on each that applies: time zones and daylight saving, idempotency (webhooks arrive twice), race conditions, rate limits, file size limits, search, realtime, offline, email deliverability, multi-tenancy, GDPR deletion.

Step 5: build order

  1. Vertical slice. The core loop end to end, ugly: sign up, do the one thing, see the result. Proves the stack.
  2. Must-haves from features.csv, by area.
  3. Should-haves, then could-haves.
  4. The fixes replica-entrepreneur finds, once it has run.

Each milestone lists its screens (S-IDs), tables and routes.

Output

replica/architecture.md, the SQL in replica/schema.sql or as the first migration, and a summary: stack in one line, table count, route count, the three riskiest parts, and the next step: /replica-design.

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 Replica Architect AI skill do?

Plans the stack, database schema and API for an app clone, from the recon map replica-recon wrote. Picks boring, managed tech, turns the inferred data model into real SQL with indexes and access rules, lists every route by flow, and orders the build as a thin vertical slice first. Use when the user says "plan the clone", "what stack should I use", "design the database", "write the schema", "plan the API", "architecture for my version of X", or after /replica-recon finishes.

Why use Replica Architect on TypingMind?

Because you install it once and use it with any model. Replica Architect 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 Replica Architect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jakeschincariol/replica-skill/tree/main/replica-architect. 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 Replica Architect?

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 Replica Architect?

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

Is the Replica Architect AI skill free?

Yes. It is published on GitHub by Jakeschincariol 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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