Borrowing it
Nothing to install: this file belongs to emilyLi2020/WAVE. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/emilyLi2020/WAVE/main/.agents/skills/v0-prompt-crafter/SKILL.mdgit clone --depth 1 https://github.com/emilyLi2020/WAVEWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/emilyli2020/wave/v0-prompt-crafter)<a href="https://agentmods.dev/skills/emilyli2020/wave/v0-prompt-crafter"><img src="https://agentmods.dev/badge/skills/emilyli2020/wave/v0-prompt-crafter/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/emilyli2020/wave/v0-prompt-crafter"><img src="https://agentmods.dev/badge/skills/emilyli2020/wave/v0-prompt-crafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00102 | $0.05417 |
| Opus 5 | $0.00051 | $0.02708 |
| Sonnet 5 | $0.00020 | $0.01083 |
| Haiku 4.5 | $0.00010 | $0.00542 |
Grade A, and why
v0-prompt-crafter scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
v0 Prompt Crafter
The user has a product idea, PRD, or rough description and wants a Vercel v0 prompt that produces a distinctive, production-grade UI on the first try. This skill takes that description, does industry and aesthetic research, chooses fancy UI libraries, and assembles a single copy-paste prompt that v0 can execute without asking clarifying questions.
Vercel v0 is Vercel's AI text-to-UI product. It defaults to Next.js 15 (App Router), React 19, TypeScript, Tailwind CSS v4, and shadcn/ui components. Prompts are plain English; better prompts give 30-40% faster generations, cleaner code, and fewer follow-up iterations.
Core Principle
Garbage in, garbage out. v0's defaults are generic (Inter, purple gradients, centered hero, "clean modern design"). To get an UNFORGETTABLE interface, the prompt must commit to a specific aesthetic direction and specify components, layout, motion, typography, and color down to hex codes and font names. Aim for the floor of a good result to be "memorable," not "acceptable."
Step 1: Parse the PRD
Extract these seven facts from the user's input. If any are missing, propose 2-3 concrete options and ask the user to pick. Never invent facts silently.
- Product name and a one-line elevator pitch.
- What it does: core features, data shown, actions taken.
- Who uses it: role, technical comfort, domain.
- When and where they use it: desktop during work, mobile while commuting, tablet in-field, etc.
- What decision or outcome the UI drives (the moment of value).
- Industry / vertical: finance, healthtech, legaltech, dev tools, consumer social, creator economy, e-commerce, SaaS admin, AI agents, etc.
- Scope: single landing page, marketing site, full app with dashboard, single component, or artifact (poster/card).
If the user gave a full PRD, map it into this shape before moving on. If they gave a one-liner, propose 2-3 interpretations and confirm before researching.
Step 2: Industry + Aesthetic Research
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 276 lines · 102 tokens per session scan A 92aa32f4075b
v0-prompt-crafter is a skill published in the GitHub repository emilyLi2020/WAVE (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 102 tokens to every session and 5,417 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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