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