Pro Workflow

Complete AI coding workflow system from production use. Orchestration patterns, reference guides, and battle-tested habits that compound over time.

Works with: Claude Code, Cursor, Codex, Gemini CLI, and 32+ AI coding agents via skills add. Sections marked (Claude Code) use features specific to Claude Code, Cursor users can skip those or use the noted alternatives.

The Core Insight

"80% of my code is written by AI, 20% is spent reviewing and correcting it.", Karpathy

This skill optimizes for that ratio. Every pattern here reduces correction cycles.

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1. The Self-Correction Loop

The single most powerful pattern. Your CLAUDE.md trains itself through corrections.

How It Works

When you correct Claude:

1. Claude acknowledges the mistake
2. Proposes a rule to prevent it
3. You approve → rule goes into memory
4. Future sessions avoid the same mistake

Add to CLAUDE.md

## Self-Correction Protocol

When the user corrects me or I make a mistake:
1. Acknowledge specifically what went wrong
2. Propose a concise rule: `[LEARN] Category: One-line rule`
3. Wait for approval before adding to LEARNED section

### LEARNED
<!-- Auto-populated through corrections -->

Trigger Phrases

• "Add that to your rules"
• "Remember this"
• "Don't do that again"

Example Flow

User: You edited the wrong file
Claude: I edited src/utils.ts when you meant src/lib/utils.ts.

[LEARN] Navigation: Confirm full path before editing files with common names.

Should I add this?

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1b. Pre-Flight Discipline

Self-correction catches mistakes after the fact. This catches them before.

Karpathy's observations on LLM coding pitfalls name the upstream failures: silent assumptions, overcomplicated diffs, drive-by edits, vague success criteria. Four rules prevent each one.