Practitioner's Playbook for Claude Code: Configuration for Token-Efficient AI Engineering v3.0.0

Professional developers using Claude's Pro tier ($20-40/mo) face hard token limits. Traditional chat-based workflows burn through budgets with multi-turn conversations, often exceeding 5-10 turns for simple refactoring tasks.

v3.0.0 introduces a complete skills-based architecture transforming the playbook from a static knowledge base into an executable workflow system.

Core Innovation: Executable Workflows

Six specialized workflows that compress common refactoring tasks:
- triage: Technical debt analysis with scoring algorithm (~2K tokens)
- extract: Surgical function extraction with validation (~5K tokens)
- modernize: Pattern updates (async/await, Result<T,E>, functional composition) (~4K tokens)
- qnew: Session initialization with context loading (~2K tokens)
- qplan: Pre-implementation validation against architectural patterns (~3K tokens)
- qcode: Full implementation with comprehensive verification - max 15 files (~8-12K tokens)
- catchup: Context restoration after /clear - critical for budget management (~1-2K tokens)

Architecture Framework:
- Velocity vs. Vision Distinction: Clear separation between autocomplete and agentic reasoning
- Modern TypeScript Patterns: Feature-based modules, Result monads, functional composition
- Session Reset Protocol: Mandatory /clear + catchup every 5-7 prompts for optimal token efficiency
- Progress Tracking: REFACTOR_PROGRESS.md template for multi-session work
- Validation Gates: Type-check, unit tests, and lint must pass before proceeding

Usage: Upload the .claude/ directory to a Claude Project. The skill system auto-activates when you invoke workflows. CLAUDE.md establishes the token-efficient persona and refactoring constitution.

Target Audience: Professional software engineers with Claude Pro subscription (10-40 prompts per 5 hours), TypeScript/JavaScript codebases requiring refactoring, need for predictable token costs and budget planning, focus on systematic technical debt reduction.

Empirical Results: Tested on real-world refactoring - Decomposed 1200-line god objects into feature modules, 67% reduction in conversation turns, Maintained 100% test pass rate throughout, Zero API surface breakage, Predictable token costs per operation.

Philosophy: This playbook represents a public contribution to democratizing AI-assisted development. By sharing empirically-tested workflows and token economics, we enable developers worldwide to maximize value from Claude Pro subscriptions while maintaining code quality and architectural discipline