# 2-fly-4-ai/V0-system-prompt

Repository: https://github.com/2-fly-4-ai/V0-system-prompt
Canonical: https://ross.abutalabs.com/products/v0-system-prompt
License Family: other
Last push: 2025-02-10T22:23:08+00:00

## Health v2 (maintenance only)
Score: 25/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 6, release rhythm 35, longevity 48
- inputs: {"age_days": 672, "days_push": 569, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1809, forks 503 (observed 2026-08-28T04:05:39.435557+00:00)

## What it is
A repository collecting the leaked system prompts from Vercel's v0 AI code-generation assistant. It serves as a reference for studying how production LLM systems are prompted to generate UI code.

## Use cases
- study how v0's system prompt instructs the model to generate UI components
- learn prompt engineering patterns from a production AI coding assistant
- compare system prompt techniques used in AI code generation tools
- build a similar AI UI generation assistant using these prompts as reference
- research how large language models are constrained for frontend code output

## When to choose
- you want to inspect real-world system prompts from a popular AI coding tool
- you are designing prompts for an LLM that generates frontend/UI code
- you are researching prompt engineering practices in production systems

## When to avoid
- you need runnable software or a library to integrate into your project
- you want an officially supported or licensed resource
- you need up-to-date prompts, since leaked prompts may become outdated

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: prompt-engineering, documentation
- domain: large-language-models, artificial-intelligence, web-development, tutorials
- platform: cross-platform
- tags: system-prompts, leaked-prompts, v0, vercel, prompt-collection, reference

## Member repositories
- 2-fly-4-ai/V0-system-prompt (main) score 25

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:39.435557+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:21:18.795195+00:00, confidence not recorded.
  - readme: https://github.com/2-fly-4-ai/V0-system-prompt (fetched 2026-08-28T04:05:39.435557+00:00, sha 9c0582f28014)
- Data as of 2026-08-30T08:39:29.467469+00:00.