Claude Skills

The Claude Extension Playbook

Claude is exceptionally good at following complex instructions and using tools. This playbook focuses on extending Claude’s capabilities via subagents and specialized skillsets.

Phase 1: Subagent Architecture

Learn how to spawn specialized instances of Claude to handle specific parts of a larger task.

• Definition: Use Claude-Skill-Support to define subagents with restricted scopes.
• Prompting: Implement Anthropic’s System Prompts for high-precision tool calling.
• Handoff: Set up a “Router Agent” that evaluates a request and routes it to the correct Claude subagent.

Phase 2: Skillsets & MCP

Model Context Protocol (MCP) is the new standard for connecting AI models to data sources.

• MCP Servers: Connect to Official MCP Servers for Google Drive, Slack, and GitHub.
• Custom Skills: Write custom TypeScript skillsets for Claude Code to automate your specific development environment.
• Context Management: Use Context-Cleaning agents to keep Claude’s context window focused on the task at hand.

Phase 3: Enterprise Integration

Deploying Claude-driven agents at scale in a corporate or production environment.

• Safety: Implement Constitutional AI guardrails for your custom subagents.
• Scaling: Use AWS Bedrock or GCP Vertex AI for high-throughput Claude API access.
• Feedback: Set up a human-in-the-loop (HITL) system where Claude requests approval for sensitive tool calls.