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Closedloop.ai — Claude Code One-Day Intensive

Everything you need for the one-day, hands-on Claude Code training. The day teaches one repeatable operating model: craft the right Claude Code primitives, plan and manage context, recover intent with evidence, review and verify against the plan, and design a workflow you can reuse.

This repo is everything you need for the one-day course. Setup is required pre-work; the module labs (01–06) and the further-practice lab (07) are optional, self-paced enrichment.

Start here

  1. Pre-work (required): complete the pre-work checklist before the live session. (Prefer a hands-on walk-through? Lab 00 covers the same setup.)
  2. Agenda: docs/ONE-DAY-LIVE-AGENDA.md
  3. Workbook (in-class): open workbook/index.html in a browser — interactive, with editable examples and progress tracking.

The day, module by module

The live day runs from the workbook and the slides. The labs below are optional, self-paced enrichment — hands-on practice for each module if you like running ahead. They take longer than the live session allows, so they are not required to keep up.

Module Topic Enrichment lab
1 Build Claude Code primitives Lab 01
2 Planning & context management Lab 02
3 Intent recovery & dynamic evidence Lab 03 · Lab 04
4 Review, test & verify Lab 05
5 Workflow design Lab 06

The artifacts you build use ClosedLoop's product nomenclature (Implementation Plan, Explore findings, Request Changes, Review, Workflow), so the habits transfer to app.closedloop.ai even if you never use the product.

What's in here

workbook/   # the interactive in-class workbook (open index.html)
docs/       # one-day agenda, pre-work checklist, and reference docs
slides/     # one-day presentation guide + ready-made demo artifacts (good vs anti-pattern)
labs/       # Lab 00 setup walk-through (required setup) + optional module labs (01-06) + further practice (07)
templates/  # reusable primitives: command, skill, subagent, hook, tool, MCP server, plugin manifest, verification gate
examples/   # demo-app the labs run against
scripts/    # demo test runner
resources/  # video links

Reference

Optional further practice

Beyond the one-day path, Lab 07 — Build Your Agentic Operating System is optional further practice: it makes the Lab 06 workflow observable, reviewable, and self-improving. Not part of the one-day course.

Install

git clone https://github.com/closedloop-ai/claude-code-expert-training.git
cd claude-code-expert-training/examples/demo-app
pnpm install && pnpm test

Then start with the pre-work checklist, and open the workbook for the live day.

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