Ai Startup Building

AI-Native Startup Patterns

When This Skill Activates

Claude uses this skill when:

• Building AI-first products
• Implementing prompt engineering
• Creating AI-native workflows
• Scaling AI products efficiently

Core Frameworks

1. AI-Native Startup Playbook (Source: Dan Shipper - 5 products, 7-fig revenue, 100% AI)

Key Principles:

• Build fast with AI
• Test with real users immediately
• Iterate based on usage
• Focus on distribution, not just product

2. 2025 Prompt Engineering Best Practices

Modern Approach:

- Use structured outputs (JSON)
- Implement streaming
- Design for retry logic
- Plan for model switching
- Cache aggressively

3. Cost Optimization

Strategies:

1. Caching: 80% of queries can be cached
2. Model routing: Simple → small model, complex → large model
3. Batching: Group similar requests
4. Prompt optimization: Minimize tokens

---

Action Templates

Template: AI Product Implementation

// Modern AI product pattern (2025)

interface AIFeature {
  // Streaming for responsiveness
  async *stream(prompt: string): AsyncGenerator {
    const cached = await checkCache(prompt);
    if (cached) return cached;

    // Route to appropriate model
    const model = this.selectModel(prompt);

    for await (const chunk of model.stream(prompt)) {
      yield chunk;
    }
  }

  // Model selection (cost optimization)
  selectModel(prompt: string): Model {
    if (this.isSimple(prompt)) {
      return this.smallModel; // Fast, cheap
    } else {
      return this.largeModel; // Smart, expensive
    }
  }

  // Retry logic (reliability)
  async withRetry(fn: () => Promise): Promise {
    for (let i = 0; i  perfect product

---

## Key Quotes

**Dan Shipper:**
> "AI doesn't replace PMs. It makes small PM teams as powerful as large ones."

**On Prompt Engineering:**
> "The best prompts in 2025 are structured, explicit, and tested with evals."

**Brandon Chu:**
> "Build for the AI you'll have in 6 months, not the AI you have today."

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [newmindsgroup](https://github.com/newmindsgroup)
- **Source:** [newmindsgroup/ai-agent-skills-library](https://github.com/newmindsgroup/ai-agent-skills-library)
- **License:** MIT
- **Homepage:** https://github.com/newmindsgroup/ai-agent-skills-library

Install and usage instructions live in the source repository linked above.