VeloMesh v4.2

One prompt builds the frontend, the backend, and the database.

VeloMesh is an autonomous Full-Stack & Internet Capability Engine that runs invisibly inside Claude Code, Cursor, OpenAI Codex, GitHub Copilot, Antigravity, and OpenCode. When you prompt your agent, VeloMesh goes to the internet on the fly to discover, synthesize, and hot-link the exact MCP servers, REST APIs, subagents, and 398+ engineering skills required to ship production software.

Auto-wires all 7 coding agents in 1 command
curl -fsSL https://raw.githubusercontent.com/RitvikChunamari/velomesh/main/install.sh | bash
velomesh://pre-invocation-pipeline ZERO SLASH COMMANDS
1-Prompt Vision Spec Vision Gate 6-Layer Synth Frontend + 86 DESIGN.md GSAP + WebGL Physics Backend API + OWASP PostgreSQL + RLS Schema Internet MCP + QA Suite
Local Curated Core 398 skills / 86 DESIGN.md
Internet Provisioning MCP + API + Agent synthesis
UI Craft Gate impeccable detect (0 slop)
Runtime Footprint Python 3.9+ / Node 18+ stdlib
Active globally across every installed coding harness:
  • Claude Code (~/.claude)
  • Cursor (~/.cursor)
  • OpenAI Codex (~/.codex)
  • GitHub Copilot (~/.copilot)
  • Google Antigravity (~/.gemini)
  • OpenCode (~/.config/opencode)

Inspect how one vision prompt compiles into six architectural layers.

Select a full-stack product blueprint below—or edit the prompt and click Synthesize Stack—then switch across the generated files in the sidebar to see how VeloMesh coordinates frontend components, GSAP motion, FastAPI/Node endpoints, PostgreSQL row-level security, live GitHub MCP discovery, and automated verification.


            

VeloMesh automates the stack, not your mind. Why elaborating your vision matters.

With VeloMesh installed, you never need to tell your coding agent which skills to load, which slash commands to run, or how to configure MCP servers. But VeloMesh cannot get inside your brain to see what you want or think like you. When you describe your product vision in detail, one prompt is enough to build the entire software stack.

NEEDS_ELABORATION — Underspecified Prompt

A 6-word vague prompt leaves product decisions to guesswork

"Make me a SaaS website and backend."
  • Missing target audience & domain: Is this for Series-A CFOs, emergency-room clinicians, or 3D shader artists?
  • Missing core workflows & data model: Does it ingest Stripe webhooks, sync CRDT canvas state, or audit HIPAA records?
  • Missing visual & architectural direction: Should it feel like Linear's dark telemetry, Cursor's warm editorial paper, or Stripe's financial ledger?
[VeloMesh Vision Clarity Gate: NEEDS_ELABORATION]
Refusing to output generic template boilerplate.
Activating `brainstorming` & `grilling` skill:
Asking 3 targeted product-vision questions before generating code.
READY_FOR_FULLSTACK_EXECUTION — Elaborated 1-Shot Prompt

An elaborated vision prompt builds the entire stack in one shot

"Build PulseLedger, a multi-tenant AI treasury dashboard for Series-A CFOs with a Linear + Stripe architectural aesthetic, interactive WebGL cashflow forecasting, FastAPI + PostgreSQL row-level security, and Stripe webhook ingestion."
  • Zero technical babysitting: You still wrote only a single prompt and never mentioned a skill name, MCP server, or slash command.
  • Unambiguous product intent: Your target user, core data flow, database security boundary, and aesthetic standard are explicit.
  • End-to-end autonomous execution: VeloMesh provisions the Stripe MCP, Postgres RLS schema, FastAPI routes, GSAP motion, and Playwright QA automatically.
[VeloMesh Vision Clarity Gate: READY_FOR_FULLSTACK_EXECUTION]
Provisioning 6 full-stack layers + 2 live GitHub MCP servers.
Executing Frontend + Motion + Backend + Postgres DDL + Browser QA.

Interactive Vision Clarity Gate

READY_FOR_FULLSTACK_EXECUTION (One-Shot Autonomous Build)

Target Domain & Audience 95%
Workflows & Data Architecture 92%
Aesthetic & Stack Direction 96%

Built to discover capabilities across the open internet, not just local files.

Static skill folders break down the moment your project needs a new API, payment processor, or database adapter. VeloMesh pairs a curated local library with live GitHub discovery and wrapper synthesis.

On-the-Fly Internet MCP & API Synthesis

When a prompt needs an integration not yet on your machine, discover_and_install_capability searches GitHub across MCP servers, REST/GraphQL SDKs, skills, and subagents, synthesizes a validated capability wrapper if no SKILL.md exists, and hot-links it in under 500ms.

86+ Brand Design Systems & Craft Floor

Integrates real-world design tokens from Linear, Cursor, Raycast, Stripe, Vercel, and Framer alongside Emil Kowalski's interaction physics and automated impeccable detect anti-slop audits.

Smart Dynamic Linking (Zero Context Bloat)

Dumping 400 skills into an agent's startup prompt degrades reasoning. VeloMesh keeps 38 core workflows active and dynamically hot-links the other 360+ domain specialists only when your task requires them.

Production Backend & Database Rigor

Enforces PostgreSQL row-level security, zero-downtime schema migrations, HMAC webhook verification, rate limiting, and OWASP security reviews across Python, TypeScript, Go, and Rust stacks.

Cross-Agent Context Passports

Start an architectural plan in Claude Code, hand off implementation to Cursor or Codex, and verify in Antigravity using SHA-256 integrity-checked Context Passports.

Autonomous TDD & Live Browser QA

Every build pairs unit and integration test suites with live Playwright desktop/mobile viewport inspection and WCAG 2.2 AA accessibility verification before completion.