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Claude Code productivity patterns including EPCC workflow, context management, and extended thinking triggers. Use when starting sessions or managing context.
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| name | claude-code-optimizer |
| description | Claude Code productivity patterns including EPCC workflow, context management, and extended thinking triggers. Use when starting sessions or managing context. |
Maximize productivity through proven workflow patterns.
Never execute git commands. Output all git commands for manual execution.
The core workflow for every session: Explore → Plan → Code → Commit
Read CLAUDE.md and relevant source files.
Summarize the current state. Do not write code yet.
Think hard about implementing [feature].
Consider edge cases and affected files.
Output the plan. Do not implement yet.
Implement step 1 of the plan.
Run tests after changes.
Generate git commands for manual execution.
Do not run git commands.
| Phrase | Use For |
|---|---|
| "think hard" | Architecture decisions |
| "ultrathink" | Complex algorithms, security |
| "think step by step" | Multi-step procedures |
| "analyze thoroughly" | Refactoring, debugging |
/context
Before clearing:
Dump progress to progress-[project]-[date].md:
- What was accomplished
- Current state
- Next steps
- Git commands to run
After clearing:
/clear
Read CLAUDE.md and progress file. Continue with [next task].
Context overflow: /clear, then read only essential files
Stuck in loop: "Stop. Summarize what's not working. Try different approach."
Quality issues: "Pause. Re-read requirements. Think hard. Start fresh."
See references/claude-md-template.md for CLAUDE.md template.
REST, GraphQL, and API design best practices. Use when designing APIs, defining contracts, or reviewing API architecture.
Architectural patterns and design principles for scalable, maintainable systems. Use when designing systems, refactoring architecture, or choosing patterns.
Performance profiling, optimization techniques, and bottleneck identification. Use when addressing performance issues or optimizing systems.
Analyze and understand codebase structure, dependencies, and patterns. Use when onboarding to a new project or auditing existing code.
Enterprise-grade production readiness assessment system for comprehensive codebase evaluation. Use when (1) Evaluating a GitHub repository for production deployment, (2) Conducting pre-launch security and architecture reviews, (3) Assessing technical debt and system reliability, (4) Identifying gaps, vulnerabilities, and incomplete features, (5) Generating actionable remediation plans for engineering teams, (6) Validating scalability, observability, and operational readiness, (7) Reviewing cost optimization and resource efficiency, (8) Auditing compliance with industry standards (SOC2, GDPR, HIPAA, PCI-DSS), (9) Evaluating API contracts and integration stability, (10) Assessing team knowledge transfer and documentation completeness. Performs CTO-level multi-dimensional analysis exceeding top-tier tech company standards.
Manage multi-project sprints with daily planning, progress tracking, and context switching. Use when coordinating work across multiple repositories.