home / skills / whawkinsiv / solo-founder-superpowers / build

build skill

/skills/build

This skill helps you build features with AI coding tools, guiding tool selection, prompting strategies, and iterative development workflows.

npx playbooks add skill whawkinsiv/solo-founder-superpowers --skill build

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: build
description: "Use this skill when the user needs to build features with AI coding tools, choose between Claude Code, Lovable, Replit, or Cursor, write effective prompts for code generation, or iterate on AI-generated code. Covers tool selection, prompting strategies, and development workflows for non-technical founders."
---

# Build

## Tool Selection

**Starting from scratch?** → Lovable (fastest MVP)  
**Existing codebase?** → Claude Code (best context)  
**Learning to code?** → Replit (educational)  
**Already code?** → Cursor (power features)

See [TOOLS.md](TOOLS.md) for detailed comparison.

---

## Build Workflow

```
- [ ] Start with spec (use scope skill)
- [ ] Give spec to AI tool
- [ ] Test happy path + edge cases
- [ ] Give specific feedback on issues
- [ ] Iterate (expect 2-4 rounds)
- [ ] Deploy when working
```

---

## Giving AI Your Spec

### Claude Code
```
Build this feature: [paste spec]

Codebase: React + TypeScript + Tailwind
Reference: src/components/Button.tsx for button patterns
```

### Lovable
```
Build: [paste simplified spec focusing on outcome]
Make it look like Linear (minimal, clean)
```

### Replit
```
Create: [paste spec emphasizing what user sees]
Use React. Keep simple.
```

See [PROMPTS.md](PROMPTS.md) for patterns.

---

## Reviewing What AI Built

Test, don't just run:

```
- [ ] Looks right?
- [ ] Happy path works?
- [ ] Edge cases work?
- [ ] Works on mobile?
- [ ] Error messages clear?
```

---

## Giving Feedback

**Bad:** "This doesn't work"  
**Good:** "Clicking 'Save' does nothing. Expected: 'Saved!' message"

**Template:**
```
What I tried: [action]
Expected: [outcome]
Got: [what happened]
```

---

## Iteration Expectations

**Normal:** 2-4 rounds per feature  
**First build:** AI builds from spec, you find 3-5 issues  
**Second build:** Fixes those, you find 1-2 more  
**Third build:** Final polish

**Stop when:**
- Happy path works
- Edge cases handled
- Mobile works
- No obvious bugs

**Don't iterate for:**
- Perfection
- Features beyond spec
- Premature optimization

---

## Common Mistakes

| Mistake | Fix |
|---------|-----|
| No spec | Use scope skill first |
| "Build a dashboard" | Specify what's on it |
| Skip edge case testing | Try breaking it |
| Accept without review | Always test |
| Add features mid-build | Finish current feature first |
| Fix code yourself | Describe problem, let AI fix |

---

## Right-Sizing Work

**Too big:** "Build entire app"  
**Too small:** "Add one button"  
**Right:** "Build user auth flow" (1-3 hours)

**Good chunks:**
- User login/signup flow
- Dashboard with 4 metrics
- Settings page with profile editing

---

## When Stuck

**AI keeps breaking things:**
→ Break into smaller piece, start fresh session

**Can't figure out complex feature:**
→ Ask: "What's simplest way?" Accept simpler solution

**Each fix breaks something else:**
→ Stop. Ask: "Better approach?" Consider starting over

---

## Working with Existing Code

```
Add [feature] to existing project.

Stack: [React, Next.js, etc]
Patterns: Check src/components for examples
Style: Tailwind + custom design system
Follow existing code style
```

---

## Prompting Patterns

**Reference existing:**
```
Build Settings page.
Reference Dashboard page layout.
Use same Card/Button components.
```

**Provide examples:**
```
Pricing page with 3 tiers.
Like Linear's pricing - clean, minimal.
```

**Specify constraints:**
```
Build profile page.
Must work offline.
Load under 2 seconds.
WCAG AA accessible.
```

See [PROMPTS.md](PROMPTS.md) for more.

---

## Review for Non-Technical Founders

**Check:**
- Does it match spec?
- Buttons work?
- Forms validate?
- Looks like design reference?
- Works on mobile?
- Error messages clear?

**Don't check:**
- Code cleanliness
- Optimization
- "Best practices"

AI handles code quality. You handle requirements.

---

## Success Looks Like

✅ Features match specs  
✅ 2-4 iterations (not 10+)  
✅ Can explain what's wrong  
✅ Building faster each week

Overview

This skill helps non-technical founders build SaaS features using AI coding tools, choose the right tool, write effective prompts, and iterate on AI-generated code. It focuses on practical workflows: scoping, handing a spec to the AI, testing, giving targeted feedback, and stopping after 2–4 iterations when the feature meets acceptance criteria.

How this skill works

The skill guides you through tool selection (Lovable for fast MVPs, Claude Code for context-heavy work, Replit for learning, Cursor for power users) and provides clear prompt templates for each tool. It prescribes a build workflow: start with a scoped spec, ask the AI to implement, test happy paths and edge cases, give specific feedback using a short template, and iterate until the feature meets the defined stop conditions.

When to use it

  • You need to build a new feature but can’t code it yourself.
  • You have an existing codebase and want AI to add context-aware changes.
  • You want to learn by doing with AI-assisted coding environments.
  • You must decide which AI coding tool best fits your project stage.
  • You need a practical review and iteration loop for AI-produced code.

Best practices

  • Always start with a scoped spec (1-3 hour chunk) before asking AI to build.
  • Pick the tool to match the situation: Lovable for MVPs, Claude Code for context, Replit to learn, Cursor for advanced needs.
  • Test the happy path and edge cases on mobile and desktop—don’t just run the code.
  • Give feedback in a specific template: What I tried; Expected; Got.
  • Limit iterations to 2–4 rounds and stop when happy path, edge cases, and mobile work.

Example use cases

  • Ask Lovable to scaffold a minimal MVP signup and onboarding flow.
  • Use Claude Code to add a feature to an existing React+TypeScript project with references to src/components.
  • Use Replit to build a simple frontend while learning React patterns.
  • Use Cursor for power-user tweaks and complex integrations in an existing repo.
  • Break a large feature into chunks like 'user auth flow' or 'dashboard with 4 metrics' and iterate.

FAQ

How many iterations should I expect per feature?

Plan for 2–4 rounds: the first will surface 3–5 issues, the second fixes most, a third is polish.

What if AI keeps breaking things?

Break the task into smaller pieces, start a fresh session, or ask for the simplest workable approach.