How we Claude Code by @trq212

Workshops: https://t.co/xdXdJbApIn

Happy Claude Coding! <3 #AI #Claude #ClaudeCode #Workshop #SanFrancisco https://t.co/TGLHFjmk8D

anthropics/cwc-workshops

Source: https://github.com/anthropics/cwc-workshops

cwc-workshops

Workshop materials. Not maintained and not accepting contributions.

Materials from Anthropic-run Code with Claude workshops.

Workshops

• rightmodel/ — Picking the Right Model: use a Claude Code SKILL to audit an LLM eval suite and sweep it across models and inference parameters (extended thinking, effort) to find the best quality-per-dollar and quality-per-second configuration.
• agent-decomposition/ — Compose Multi-Agent Systems with Skills and MCP: decompose a 400-line-prompt inventory agent into skills + code execution + callable_agents on Claude Managed Agents, with evals to verify each step.
• how-we-claude-code/ — How We Claude Code: a three-phase walkthrough of an AI-assisted product workflow — interview to spec, four divergent design explorations as static HTML, and a Vite + React app whose components emit a machine-readable DOM contract so an agent (or CI) can verify them at runtime.
• ship-your-first-managed-agent/ — Ship Your First Managed Agent: a Streamlit incident dashboard with an offline SRE Agent chat panel. You bring it online by implementing seven small functions in agent.py, each a single Claude Managed Agents API call — until it can grep a 70k-line log in its sandbox, call your local tools, and name the bad commit.
• agent-battle/ — Agent Battle: a 45-minute competition to configure a Claude Managed Agent — system prompt, skills, MCP servers, model — that drives a local game bot over MCP. Most diamonds wins, fewest tokens breaks ties; a fast --eval decision-probe loop lets you test config changes in ~30s before committing to a 5-minute run.
• agents-that-remember/ — Agents That Remember: start with a Managed Agent that’s visibly amnesiac across sessions, then layer in memory primitives one at a time — a memory store for cross-session persistence, then the Dreaming Service to consolidate past transcripts — going “goldfish to colleague” in 45 minutes.
• eval-driven-agent-development/ — Eval-Driven Agent Development: iterate a PPTX-generating Managed Agent through six variants (naive → visual → typography → palette → density → QA-loop), scoring each against a 10-task suite with a two-layer grader (programmatic .pptx XML metrics + LLM-as-judge on rendered slides) so every prompt change is measured, not vibed.
• production-ready-agent/ — Deal Desk: a chat-first UI over a multi-agent M&A research team on Claude Managed Agents — a coordinator delegates to four parallel research sub-agents, reads prior-deal lessons from a memory store, reaches Linear via MCP, and emits a graded investment thesis while the UI streams every event and gated tool call.

License

Apache License 2.0. See LICENSE.