Goal Driven

Goal-Driven Development Skill

Trigger

Use when starting a new task. Maximizes LLM leverage by enabling autonomous iteration.

The Insight

Karpathy: "Don't tell it what to do, give it success criteria and watch it go. Change your approach from imperative to declarative to get the agents looping longer and gain leverage."

Imperative vs Declarative

Imperative (less effective):

"Add a function that takes a user ID, queries the database, filters out inactive users, and returns the result."

Declarative (more effective):

"I need to get active users. Success criteria:

• Returns only users where status = 'active'
• Returns user ID, name, and email
• Handles case where user doesn't exist
• Has tests proving all criteria are met"

Process

Step 1: Define Success Criteria

What does "done" look like? Be specific and testable.

Bad: "Make the page faster" Good: "Page loads in under 2 seconds on 3G. Largest Contentful Paint < 2.5s. No layout shift."

Bad: "Add user authentication" Good: "Users can sign up with email/password. Users can log in. Sessions expire after 24h. Passwords are hashed with bcrypt. Tests verify all auth flows."

Step 2: Define Constraints

What must NOT happen?

• "Don't modify the public API"
• "Don't add new dependencies"
• "Keep backward compatibility with v2 clients"
• "Don't exceed 100ms response time"

Step 3: Define Verification

How will we know it works?

• "All existing tests pass"
• "New tests cover the success criteria"
• "Manual test: can complete checkout flow"
• "Lighthouse score > 90"

Step 4: Let It Loop

Provide the criteria and let the agent iterate until success:

## Task: Implement rate limiting

## Success Criteria
- [ ] Requests limited to 100/minute per IP
- [ ] Returns 429 status when limit exceeded
- [ ] Limit resets after 1 minute
- [ ] Bypass for authenticated admin users
- [ ] Tests verify all criteria

## Constraints
- Use Redis for tracking (already in stack)
- Don't add new dependencies
- Keep response latency under 10ms

## Verification
Run: `npm test -- rate-limit`
All tests must pass.

Template for Goal-Driven Tasks

## Task: [What needs to be accomplished]

## Success Criteria
- [ ] [Specific, testable criterion 1]
- [ ] [Specific, testable criterion 2]
- [ ] [Specific, testable criterion 3]

## Constraints
- [What must NOT change]
- [What must NOT be added]
- [Performance/security requirements]

## Verification
- [How to prove it works]
- [Commands to run]
- [Expected output]

## Out of Scope
- [What this task does NOT include]

Why This Works

LLMs excel at iteration and don't get tired. By providing clear success criteria, you enable them to:

1. Try an approach
2. Verify against criteria
3. If failing, try a different approach
4. Repeat until all criteria pass

This is their superpower. Use it.

Specificity Dramatically Reduces Course Corrections

From Anthropic's Claude Code best practices: Vague requests perform poorly. Specific instructions dramatically reduce the corrections needed.

Bad vs Good Prompts

Why Specificity Works

• Eliminates ambiguity that leads to wrong assumptions
• Provides clear completion criteria
• Reduces back-and-forth clarification
• Enables autonomous iteration toward defined goal

Template for Specific Requests

## Task: [Specific action verb] [specific target]

## Context
[Why this needs to be done]
[What's currently wrong or missing]

## Requirements
- [Specific requirement 1]
- [Specific requirement 2]
- [Specific requirement 3]

## Constraints
- [What NOT to do]
- [What NOT to change]

## Acceptance Criteria
- [How to verify requirement 1]
- [How to verify requirement 2]