Claude Skills Guide

Claude Code Golden Path Templates & Workflow Tutorial

Claude Code’s golden path templates provide developers with battle-tested workflows that accelerate common development tasks. These templates combine skills, tools, and automation patterns into cohesive pipelines that you can customize and extend. This tutorial walks you through understanding, using, and creating golden path workflows that will transform your development productivity.

Understanding Golden Path Templates

Golden path templates in Claude Code are pre-configured skill combinations designed for specific development scenarios. Unlike individual skills, golden paths orchestrate multiple skills working together toward a complete outcome. Think of them as curated workflows that handle complex, multi-step tasks automatically.

The key difference between a skill and a golden path is orchestration. A skill performs a focused task when invoked. A golden path sequences multiple skills, manages state between steps, and handles edge cases that arise during complex workflows. For example, a “code review” skill might analyze a single file, while a “comprehensive code review” golden path would orchestrate file discovery, individual analysis, report generation, and summary creation.

When to Use Golden Paths

Golden paths excel in scenarios requiring multiple discrete steps that build on each other. Use them when you need to:

For single-step interactions, plain skills remain more appropriate and efficient.

Setting Up Your First Golden Path

Claude Code provides several built-in golden path templates. Let’s explore how to invoke and customize them.

Listing Available Templates

To discover available golden paths, use the templates skill or check your skills directory:

claude
# or
ls ~/.claude/skills/*golden-path*

Common templates include code-review, documentation-generator, refactoring-pipeline, and test-generation workflows.

Invoking a Golden Path

Most golden paths accept parameters to customize their behavior:

claude /code-review

This invokes the code-review golden path against the ./src directory with a security focus. Parameters vary by template, so always check the template documentation.

Creating Custom Golden Path Workflows

Building your own golden path requires understanding the workflow configuration structure. Golden paths are defined using YAML or JSON configuration files that specify the sequence of skills, their parameters, and how data flows between them.

Basic Workflow Configuration

Create a golden path definition file (e.g., my-workflow.golden-path.yml):

name: custom-code-analysis
description: Custom workflow for comprehensive code analysis

    
    

Each step references a skill and can declare dependencies on previous steps, enabling sequential execution with data passing.

Passing Data Between Steps

Golden paths support data passing through variable substitution. The output of each step becomes available to dependent steps:

steps:
  - name: find-files
    skill: file-finder
    output_var: discovered_files
    
  - name: process-files
    skill: batch-processor
    params:
      files: ${discovered_files}
    depends_on: find-files

The ${variable} syntax references outputs from previous steps, enabling sophisticated data pipelines.

Practical Examples

Let’s walk through concrete golden path examples you can adapt for your projects.

Example 1: Automated Documentation Generator

This golden path analyzes your codebase and generates comprehensive documentation:

name: docs-generator
description: Generate API documentation from codebase

      
      

Save this as docs-generator.golden-path.yml in your project’s .claude/workflows/ directory.

Example 2: Pre-Commit Quality Gate

Enforce code quality before commits with this workflow:

```yamlname: quality-gate description: Run quality checks before commit

steps:

Example 3: Feature Development Pipeline

Streamline feature development from creation to documentation:

name: feature-pipeline
description: Complete feature development workflow

      
      
      
      

Best Practices for Golden Path Design

Follow these principles when creating and using golden paths:

Keep Steps Focused

Each step should perform one logical operation. If you find yourself adding “and also…” in your step description, split it into multiple steps. Focused steps are easier to test, debug, and reuse.

Handle Failures Gracefully

Always consider what happens when a step fails:

steps:
  - name: risky-operation
    skill: external-api-caller
    on_failure: continue  # Continue despite failure
    # or
    on_failure: rollback  # Revert previous changes

Make Templates Configurable

Expose parameters rather than hardcoding values:

params:
  threshold: ${THRESHOLD:-80}  # Use env var or default to 80
  paths: ${PATHS:-["src/"]}

Document Your Workflows

Add comprehensive documentation to each golden path:

name: my-workflow
description: "What this workflow accomplishes"

Advanced: Conditional Execution

For more sophisticated workflows, use conditional step execution:

steps:
  - name: check-type
    skill: type-checker
    
  - name: fix-if-needed
    skill: code-fixer
    condition: ${check-type.has_warnings}
    
  - name: commit
    skill: git-committer
    condition: ${fix-if-needed.completed}

Steps only execute when their conditions evaluate to true, enabling intelligent branching within your workflows.

Conclusion

Golden path templates transform Claude Code from a conversational assistant into a powerful workflow engine. By combining skills into orchestrated pipelines, you can automate complex processes, enforce consistency, and accelerate development. Start with built-in templates, then customize and create your own to match your team’s specific needs.

Remember: golden paths work best when they’re focused, configurable, and well-documented. Begin with simple workflows and iterate toward more sophisticated automation as your needs evolve.

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