ai-dive-deep

作者 Belkins已验证

Vlad's Playbook — a 48-chapter operator field manual where every artifact is live, clickable, and forwardable. 31 interactive widgets, a self-updating AI radar, hand-verified model leaderboards, embedded case studies — and the repo runs the agent workflow the book teaches.

393
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1
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Astro
语言
2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/Belkins/ai-dive-deep

快速入门

使用 ai-dive-deep 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Vlad's Playbook

The Ultimate AI Dive Deep

A 48-chapter operator field manual where every artifact is live, clickable, and forwardable — and the repo runs the discipline the book teaches.

Read it: dive.vladyslavpodoliako.com

Edition   Live   License: code MIT, content CC BY-NC-SA 4.0


The thesis: HTML-ization

Stop sending dead files. Every report, pitch, audit, deck, and analysis ships as a live interactive HTML artifact on a deployed link — not a PDF attachment that started rotting the second it was exported. The link is current because the repo is. People forward links; they archive PDFs unread.

This repo is the proof. The book about building this kind of artifact is, itself, this kind of artifact — a repo deployed to a public link, updated by commit, with real interactive case studies embedded and clickable inside it, and a radar page that re-publishes itself every hour without a human in the loop.

→ Read the thesis + click the embeds: dive.vladyslavpodoliako.com/html-first


Read it (the site is the book)

The repo is how it's built. The site is what it IS.

SurfaceWhat's thereLive link
All 48 chaptersThe whole book, MDX-rendered, with TL;DRs, glossary tooltips, and the receipts behind every claim/sections
RadarA self-updating index of what's moving through the AI ecosystem, ranked by lead time — recomputed hourly by a cron pipeline, receipts on every row/radar
Agent workflowThe queue that feeds the swarm: boards, issue discipline, three slash commands, six path-routed review agents — the system this very repo runs on/agent-workflow
Fleet paintSix agents, six identical black windows — statusline, OSC escape codes, and a watcher that colors every terminal by project/terminal-setup
Tier listFive readings of the same models: the Arena crowd boards (hand-verified snapshot, cross-checked against a community mirror), Artificial Analysis with $/task economics + its Agentic Index, the labs' launch decks discounted on arrival, Arena's Agent board, and the operator ranking you can drag and share/tier-list
Model filesOpus 5 (the effort dial, the hierarchy question) and Fable 5 / Mythos 5 (a hub + 9 spokes, the system card read honestly)/opus-5 · /fable-5
HTML-izationThe flagship — thesis + embedded live artifacts (AFC pitch deck, AFC robot stable, sanitized client deliverability audit)/html-first
CAD-as-codeClaude designs a 3D-printable museum frame as 267 lines of Python — STL + STEP as build artifacts, zero grams printed until the calipers agree/cad-as-code
Music is mathHow AI actually writes a song, and where the same recipe conquered proteins, robots and the weather — with the five claims the first draft got wrong kept on the page/music-is-math
LearnNew to any of this? The official free courses in the right order, then the book/learn
Cheat sheetSlash commands, settings keys, hook JSON shape, permission syntax, model routing — printable/cheat-sheet
Glossary89 terms, A–Z, linked inline throughout the chapters/glossary
ResourcesCopy-paste templates: CLAUDE.md skeletons, .mcp.json, hooks, SKILL.md, subagent .md, reusable prompts/resources
Research notes13 dated external signals that shift what an operator does Monday — sourced, signal-vs-receipt discipline/research-notes

Press ⌘K anywhere on the site — search every chapter, page, section anchor, glossary term, and research note from one box. The changelog drives a dismissible "what's new" bar on every page, and homepage tiles carry auto-expiring NEW badges derived from each page's git ship date — nothing on the site claims to be new by hand.


The repo runs the book

This isn't a docs folder next to a manuscript — the repository practices the operating discipline the chapters describe:

  • Issues → board → branch → review fleet → PR. Work is filed from issue templates written so an agent with no memory of the conversation can open a mergeable PR, and every branch runs a path-routed review fleet before its PR opens (docs/workflow/, config in .claude/workflow-kit.json). The system itself is documented on /agent-workflow.
  • Prebuild guards fail the build on dishonesty: stale numbers against a ledger, broken internal links, glossary drift, nested anchors, template-literal breakage — see scripts/check-*.py and the prebuild chain in package.json.
  • Data pages are dated captures, not vibes. The tier-list's Arena boards are hand-verified snapshots cross-checked against an independent community mirror; Artificial Analysis figures trace to the page's own embedded JSON-LD; every capture is date-stamped on the surface that shows it.
  • The radar updates itself. A sibling pipeline pushes hourly; the site rebuilds on every push (~90s via GitHub Pages), which is also what makes the homepage's NEW badges expire without anyone editing a label.

What's in this repo (the receipts)

  • 48 chapters in src/content/chapters/*.mdx
  • 31 React/Astro widgets in src/widgets/ (Arena leaderboard, AA economics panel, sortable tier list, command palette, token-burn calculator, swarm visualizer, tokenizer lab, …)
  • 50+ standalone pages in src/pages/ — the surfaces above plus the journey, day zero, questions, showcase, vault starter, weekend builds, swarms, and more
  • 89 glossary terms in src/lib/glossary.ts · 13 dated research notes in src/lib/research-notes.ts
  • 4 embedded interactive artifacts in public/artifacts/ — single-file, self-contained, sandboxed-iframe-embedded
  • 35 shipped editions in src/lib/changelog.ts, each with receipts

How it's built (5 bullets)

  1. Astro 5 static site generator. Server-rendered by default; React 18 islands only where interaction needs them.
  2. MDX for chapter content with custom Astro components (<Callout>, <PullQuote>, <TLDR>, <GlossaryTooltip>, …).
  3. Tailwind 3 with project design tokens (rgb(var(--accent)), --paper, --line, dark/light themes).
  4. GitHub Pages auto-deploy via .github/workflows/deploy.yml — push to main, live in ~90 seconds at dive.vladyslavpodoliako.com.
  5. Built and maintained by Claude Code agents — content, widgets, data refreshes, review fleets, deploys. The process is the technique the book describes; the artifact IS the technique.

Run locally

npm install
npm run dev      # http://localhost:4321
npm run build    # prebuild guards → astro build → postbuild checks → dist/
npm run preview  # serve dist/ locally

Requires Node 20+.


Add a chapter or page

  1. Chapters: drop an MDX file into src/content/chapters/ matching src/content/config.ts, add it to src/lib/chapters.ts — the dynamic route picks it up.
  2. Standalone pages need eight wiring surfaces, or they ship invisible: page file · ⌘K index · chapter cross-link · glossary · homepage tile (<TileEyebrow added="…"> — the NEW badge derives from the ship date) · changelog · site nav · the hand-maintained llms.txt site map.

See CONTRIBUTING.md for how work is filed and reviewed.


Credits

Written and built by Vlad Podoliako — Founder & CEO of Belkins, founder of Folderly, and operator across a portfolio of others.

The book teaches the technique. The artifact IS the technique. The repo is how it's built — but the site is what it IS.

dive.vladyslavpodoliako.com


License

  • Code — MIT. Copy the Astro + Tailwind + widget structure into your own living-link artifacts; that's the entire point.
  • Content — CC BY-NC-SA 4.0. Read it, share it, quote it, credit it; don't resell it.

See LICENSE.

常见问题

What is ai-dive-deep?

ai-dive-deep is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Belkins. Vlad's Playbook — a 48-chapter operator field manual where every artifact is live, clickable, and forwardable. 31 interactive widgets, a self-updating AI radar, hand-verified model leaderboards, embedded case studies — and the repo runs the agent workflow the book teaches. It has 393 GitHub stars.

Is ai-dive-deep safe to use?

ai-dive-deep returned warnings in SkillsLLM's automated security scan. It has no critical vulnerabilities, but review the flagged issues in the Security Report section before adding it to your workflow.

How do I install ai-dive-deep?

Clone the repository with "git clone https://github.com/Belkins/ai-dive-deep" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is ai-dive-deep written in?

ai-dive-deep is primarily written in Astro. It is open-source under Belkins on GitHub, so you can review or fork the full source.

Are there alternatives to ai-dive-deep?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh ai-dive-deep against similar tools.

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