Agentic AI for Claude Builders

Map your business in an AI Registry, then pick the workflows where AI will actually move the business.

Deconstruct one into clear requirements — the rules it must follow and the edge cases it must handle.

Design the right solution for it, then carry the same 7-step method into every workflow after.

Connect Claude and Claude Code — personalization, memory, connectors, voice-to-text, and an AI code editor.

Configure a Claude Project so every task starts with the context you'd otherwise re-explain.

Build a knowledge graph Claude reads before each task and updates after — compounding as you work.

Analyze what a skill is made of, then build and evaluate task and reference skills of your own.

Compose skills into a workflow by hand, then design, build, and test one with the AI Workflow Framework..

Extend it to the browser with Claude in Chrome and publish its output as a shareable web page.

Analyze what an agent is made of, then build your first agent in Claude and run it on its own.

Combine those agents into a multi-agent system, choosing the pattern that fits the job.

Scale it up by running many agents in parallel on one job.

Keep your skills and agents in GitHub and ship them to your team as a plugin

Own them as plain Markdown files that work on any AI platform that reads skills and agents.

Publish the plugin from your repository so every change you push reaches your team.

Start your AI Registry in Week 1 and register every workflow you build, capturing how your business actually runs.

Start your AI Registry in Week 1 and register every workflow you build, capturing how your business actually runs.

Leave with one place to see, share, and maintain every AI workflow your business runs.