Claude Skills Guide

Claude Code Development Workflow Templates

Building effective Claude Code projects requires structured workflows that use skills, tools, and agent patterns. This guide provides practical templates you can adapt for different development scenarios, whether you’re automating documentation with the pdf skill, implementing test-driven development with tdd, or managing complex project contexts with supermemory.

Core Project Initialization Template

Every Claude Code project starts with a consistent initialization workflow. The following template establishes project structure, configures essential skills, and sets up the development environment:

# Project initialization workflow
1. Create project directory structure
2. Initialize git repository with proper .gitignore
3. Install required Claude skills (frontend-design, pdf, tdd)
4. Configure skill-specific settings in _skills/ or config/
5. Set up supermemory context for project documentation

This template ensures all projects begin with the same baseline configuration. The pdf skill becomes particularly useful here for generating project requirement documents automatically from initial conversations.

Skill Chaining Workflow

Complex tasks often require multiple skills working together. The skill chaining pattern orchestrates sequential skill execution where each skill’s output feeds into the next:

User Request → [frontend-design] → Design Tokens + Components
                    ↓
              [pdf] → Component Documentation
                    ↓
              [tdd] → Test Files + Implementation

The key to effective skill chaining is clear output expectations. Each skill should produce artifacts that the next skill can consume directly. For example, when frontend-design generates component specifications, it should output structured JSON or Markdown that tdd can parse to generate corresponding test files.

Test-Driven Development Workflow with tdd Skill

The tdd skill transforms how you approach implementation. Rather than writing code then tests, you define behavior through tests first:

# Step 1: Define expected behavior in test file
def test_user_authentication():
    """User should be authenticated via JWT token"""
    token = generate_token(user_id="123")
    assert validate_token(token)["user_id"] == "123"
    assert token.expiry > datetime.now()

The tdd skill analyzes these specifications and generates the minimal implementation code needed to pass tests. This workflow particularly excels when combined with the supermemory skill, which maintains a persistent context of your test suite across sessions.

Documentation Generation Workflow

Documentation often becomes outdated because it requires manual maintenance. The pdf skill combined with code analysis creates an automated documentation pipeline:

Code Changes → Skill Analysis → Content Generation → pdf Renderer → Documentation Artifact

This workflow runs as part of your CI/CD pipeline, ensuring documentation always reflects current code. The supermemory skill contributes by tracking which documentation sections need updates based on recent changes.

Multi-Agent Coordination Pattern

Large projects benefit from dividing work among specialized agents. This template coordinates multiple Claude Code instances:

# agent-coordination.yaml
agents:
  - name: frontend
    skills: [frontend-design, canvas-design]
    scope: "src/ui/**/*"
    context_file: ".claude/frontend-context.md"
    
  - name: backend
    skills: [tdd, database]
    scope: "src/api/**/*"
    context_file: ".claude/backend-context.md"
    
  - name: docs
    skills: [pdf, memory]
    scope: "docs/**/*"
    context_file: ".claude/docs-context.md"

Each agent operates within defined boundaries, reporting progress to a central coordinator. The supermemory skill stores coordination state, enabling agents to resume interrupted work smoothly.

Memory Management Workflow

Effective context management prevents token limit issues while maintaining project awareness. The supermemory skill provides several memory patterns:

Session Memory: Stores conversation context for retrieval within current session Project Memory: Maintains project-wide knowledge including architecture decisions and coding standards Long-term Memory: Persists across projects for reusable patterns and solutions

# Memory hierarchy in practice
1. Active Context (current conversation)
        ↓
2. Project Memory (architecture, standards, current tasks)
        ↓
3. Long-term Memory (reusable patterns, solved problems)

When starting new work, first query supermemory for relevant past solutions before building from scratch. This avoids重复 work and maintains consistency across projects.

Code Review Workflow

Automated code review using Claude skills catches issues before human review:

Developer submits PR → [Claude Code: /review-skill] → Analysis Report
                                                    ↓
                              Issues Found → Assign to Developer
                                                    ↓
                              No Issues → Merge Approval

The review skill examines code against project standards, checks for common vulnerabilities, and verifies test coverage. Integrate this workflow through GitHub Actions or similar CI systems.

Deployment Pipeline Template

Automating deployments requires careful skill orchestration:

# Deployment workflow
1. tdd skill: Verify all tests pass
2. security skill: Scan for vulnerabilities  
3. build skill: Compile and bundle application
4. deploy skill: Push to target environment
5. verify skill: Confirm deployment success
6. supermemory: Update deployment log and rollback procedures

Each step produces artifacts consumed by the next. If any step fails, the pipeline halts and supermemory records the failure context for debugging.

Custom Skill Development Pattern

When existing skills don’t meet requirements, build custom skills following this template:

# custom-skill.md
---
name: project-scaffolder
description: "Generates project structure from specifications"
---

## Input Format
Describe your project using this structure:
- Project name
- Tech stack (language, framework)
- Required features

## Output
Creates complete project structure with:
- Configuration files
- Basic directory layout
- Starter code files

The skill development workflow includes iterative testing using the tdd skill to verify skill behavior matches expectations.

Choosing the Right Workflow

Select workflow templates based on project characteristics:

Start with simpler workflows and add complexity as project needs demand it. The combination of pdf for documentation, tdd for implementation, and supermemory for context management provides a foundation for most development scenarios.

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