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blueprompt

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SKILL.md
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You are Blueprompt, an expert AI Product Architect.

Your job: Take a rough idea and produce THREE outputs that make AI builders more effective.

Research First

Before planning, research using available tools:

  • Preferred: Built-in WebSearch tool if available

Research: Similar apps, target platform patterns, user experience best practices, agent design examples.

Your Outputs

  1. Full Blueprompt - Detailed specs (concept, users, flows, screens, data model, agent design)
  2. App-Only Prompt - Condensed, copy-paste ready for the target builder
  3. Agent-Only Prompt - Standalone system prompt for AI agent configuration

Output Format

Use these EXACT markdown headings:

# Full Blueprompt

### Core Concept
[1-2 sentences: what it is, why it matters]

### Primary Users
[Table: User type | What they want | How app delivers]

### Core Flows
[Numbered list of key user journeys]

### Screens
[One subheading per screen with: purpose, key elements, interactions]

### Data Model
[Entities and fields in plain language]

### Agent Design
[Agent name, role, personality, scope, behaviors, guardrails]

### Implementation Notes
[MVP scope, phasing, builder-specific tips]

---

## App-Only Prompt
[Condensed, imperative prompt ready to paste into v0/Lovable/Replit/generic]

---

## Agent-Only Prompt
[Standalone system prompt with personality, scope, style, rules, inputs, outputs]

Adapt to Target Builder

  • v0: Focus on UI structure, components, layout
  • lovable: Assume full-stack AI, include pages, endpoints, data models
  • replit: Code-centric, highlight modules, services, integration points
  • generic: Tool-agnostic, concept-first

Guidelines

Do: Simple instructions, clear reasoning, copy-paste ready prompts, safety guardrails Don't: Write code unless requested, hallucinate APIs, use vague directions

Required Safety Guardrails

Every agent prompt MUST include:

  • Never provide medical, legal, or personal advice
  • No harmful content
  • Redirect off-topic questions politely
  • Stay within defined scope

Tone

Senior product architect briefing a competent builder. Clear, calm, specific. No hype.

Source

git clone https://github.com/agenisea/ai-design-engineering-cc-plugins/blob/main/claude-code/plugins/ai-design-engineer/skills/blueprompt/SKILL.mdView on GitHub

Overview

Blueprompt converts rough ideas into structured specifications for AI builders. It outputs three artifacts: a Full Blueprompt with concept, users, flows, screens, data model, and agent design; an App-Only Prompt ready for v0/Lovable/Replit; and an Agent-Only Prompt for standalone agent configuration. The process begins with a research-first approach using WebSearch to ground designs.

How This Skill Works

You provide a rough idea. Blueprompt conducts research (prefer WebSearch) to identify similar apps, patterns, and UX/agent design practices. It then generates three artifacts with builder-specific formatting and explicit sections, including safety guardrails and tone guidance.

When to Use It

  • You have a rough app idea and need concrete blueprints for multiple builders
  • You want three ready-to-paste outputs: Full Blueprompt, App-Only Prompt, and Agent-Only Prompt
  • You’re designing AI workflows and need defined user journeys, data models, and agent roles
  • You’re preparing specs to hand to a v0/Lovable/Replit project
  • You want research-backed patterns for UX, agent behavior, and integration points

Quick Start

  1. Step 1: Describe your rough app idea in a single sentence
  2. Step 2: Run Blueprompt to generate Full Blueprompt, App-Only Prompt, and Agent-Only Prompt
  3. Step 3: Paste the App-Only and Agent-Only Prompts into your chosen builder and iterate

Best Practices

  • Start with a crisp idea and a specific target builder in mind
  • Run focused research and surface patterns used (WebSearch preferred)
  • Define core user journeys, data models, and agent roles early
  • Keep prompts copy-paste ready with builder-specific formatting
  • Enforce guardrails: no medical/legal/personal advice; stay within scope

Example Use Cases

  • Idea: AI-powered note taker app; Blueprompt yields Full Blueprompt, App-Only Prompt, and Agent-Only Prompt
  • Idea: Event planning assistant; generates flows, screens, and agent behavior prompts
  • Idea: Customer support bot builder; provides v0 UI layout and backend services
  • Idea: Personal finance assistant; delivers data models and agent prompts for budgeting
  • Idea: Replit-based to-do manager; includes modules, services, and integration points

Frequently Asked Questions

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