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AI EngineeringJavaScript

Deep Dive

by rohitg00

Deep Dive is an AI Engineering skill for Claude Code, published by rohitg00 in awesome-claude-code-toolkit.

2.5K stars898 forkson rohitg00/awesome-claude-code-toolkitAdded 2026/08/18+1% in starsRepository updated 2026/05/12
claudeclaude-codeclaudecodeclaudecode-hookspluginsskills
Install in seconds
Install Deep Dive
Copy Deep Dive into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/rohitg00/awesome-claude-code-toolkit/tree/main/skills/deep-dive ~/.claude/skills/deep-dive

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/rohitg00/awesome-claude-code-toolkit.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/deep-dive/SKILL.md in rohitg00/awesome-claude-code-toolkit
Installs to
~/.claude/skills/deep-dive
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What Deep Dive does

Deep Dive decomposes a research question into a DAG of sub-questions, runs independent subagents in parallel to research each node, performs one round of gap analysis, and synthesizes a cited report.

Deep Dive is cataloged under AI Engineering on DirSkills. Deep Dive comes from a repository tagged claude, claude-code, claudecode, claudecode-hooks and plugins.

Documentation

README

Deep Dive

Autonomous deep research using the same DAG-based planning pattern as Google's Deep Research — but running entirely on Claude Code with no external dependencies.

How it works

  1. Plan — decompose the question into a DAG of sub-questions with dependencies
  2. Fan out — run independent sub-questions in parallel via Agent subagents
  3. Gap analysis — each subagent returns findings + identified gaps
  4. Iterate — gaps become new sub-questions, fed back into the DAG
  5. Synthesize — once all nodes complete, produce a final report

Steps

1. Decompose into a DAG

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Deep Dive

  • What else does rohitg00 publish alongside Deep Dive?

    Deep Dive is one of 25 skills that DirSkills catalogs from rohitg00/awesome-claude-code-toolkit, the repository it ships in. Its siblings there include API Design Patterns, AWS Cloud Patterns and Accessibility. Each one is a separate skill with its own page in this directory, installs the same way Deep Dive does, and is maintained by rohitg00 in that same repository. The rest of the collection is listed on the rohitg00/awesome-claude-code-toolkit page.

  • How does Deep Dive compare to other AI Engineering skills?

    Deep Dive ranks #788 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Deep Dive against them. Open each page to compare what they document and how they install.

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