ESP32-S3 Bench Guide
ESP32‑S3 N16R8 벤치 가이드: 실시간 핀아웃, 강의, 시뮬레이터 및 벤치 로그
James Gray의 AI 워크플로, 에이전트, 패턴 구축 가이드를 읽기
Read James Gray's playbook on building with AI workflows, agents, and patterns
AI가 요약 · README에서
교육MDX · ShellGitHub @jamesgray-ai직접 설치운영자 미확인
써 보셨어요? 한 번만 눌러 주세요. 로그인은 필요 없어요.
jamesgray-ai/handsonai
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
The source repository for handsonai.info — James Gray's playbook for building real things with AI: the AI Workflow Framework, the agentic building blocks, setup guides, patterns, and course companion content.
Almost everything here is markdown. This repository is a working example of a lesson it teaches: version control isn't only for code — the skills, agents, and documents AI works from live here too, moving through branches, pull requests, and reviews like any software project.README 전문 보기 ↗The source repository for handsonai.info — James Gray's playbook for building real things with AI: the AI Workflow Framework, the agentic building blocks, setup guides, patterns, and course companion content.
Almost everything here is markdown. This repository is a working example of a lesson it teaches: version control isn't only for code — the skills, agents, and documents AI works from live here too, moving through branches, pull requests, and reviews like any software project.
| Mode | What it is | Start here |
|---|---|---|
| Learn | Read the playbook on the site — framework, building blocks, setup guides, patterns | handsonai.info |
| Build | Install the plugins — the playbook's skills and agents, packaged for Claude | Plugin marketplace |
| Ask | Connect the MCP server and query the playbook from Claude, ChatGPT, Cursor, or VS Code | MCP server guide |
src/content/docs/ — the site's content: the AI Workflow Framework, the agentic building blocks, builder setup guides, platform guides, use cases, and patternsplugins/handsonai/ — the canonical source of the plugin-packaged skills and agents, distributed via handsonai-pluginsmcp-server/ — the MCP server that serves the playbook to AI tools, deployed on Cloudflare.claude/ — repo-specific skills and agents that maintain the site itselfexamples/ — worked example artifacts referenced from the playbooknpm install # Astro/Starlight + plugins
npm run dev # local dev server at http://localhost:4321
npm run build # production build
Suggestions and fixes are welcome — see the contributor guidelines, then open a pull request. Every change to this repository travels the same path the playbook teaches: branch, commit, pull request, review, merge.
Built and maintained by James Gray with AI collaborators — most changes here are co-authored with Claude, reviewed before merge.