ai-integration-architect

A Claude skill that helps teams plan, design, and scaffold AI integration into enterprise systems.

46% of enterprises say integrating AI into existing systems is their #1 challenge. This skill acts as a senior integration architect — it assesses your system landscape, recommends architecture patterns, generates production-ready code scaffolds, and produces deployment plans with security baked in.

| Phase | Output | |-------|--------| | Assess | Maps your current systems (APIs, databases, SaaS tools) and identifies where AI adds the most value | | Architect | Recommends integration patterns (MCP servers, API gateways, RAG pipelines, event-driven agents) with trade-off analysis | | Scaffold | Generates working starter code — MCP servers, API connectors, RAG pipelines, middleware — with auth, rate limiting, error handling, and tests | | Deploy | Produces deployment configs, monitoring setup, security checklists, cost estimates, and phased rollout plans |

Download `ai-integration-architect.skill` and install it:

claude install ai-integration-architect.skill

Copy the ai-integration-architect/ folder into your Claude skills directory:

# Claude Code
cp -r ai-integration-architect/ ~/.claude/skills/

# Or add to your project's .claude/skills/ directory
cp -r ai-integration-architect/ .claude/skills/

Once installed, just describe your integration challenge:

> "We run Shopify Plus with Salesforce CRM and Zendesk for support. Our CEO wants AI to help reduce support response times. Where do I start?"

> "I need an MCP server that connects Claude to our internal REST API. It uses OAuth2, has /employees, /projects, and /timesheets endpoints."

> "We have 5000 pages of docs across Confluence, Google Docs, and Notion. Engineers waste hou