deep-dive
Claude-native deep research using DAG-based query planning, parallel subagent execution, and gap-driven iteration. No external API needed.
Profile →npx skills add rohitg00/awesome-claude-code-toolkit --skill deep-dive --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 Given the research question, generate a DAG of sub-questions. Each node has: - **id**: short identifier (e.g., `q1`, `q2a`) - **question**: the specific sub-question to research - **depends_on**: list of node IDs whose answers are needed first (empty = no dependencies) **Rules for decomposition:** - Start with foundational/context-setting questions that have no dependencies - Build toward analytical/comparative questions that depend on foundational answers - Aim for 4-8 nodes. If the topic needs more, cap at 12. - Each node should be answerable with 1-3 web searches - Questions should be specifi
- How it works
- Steps
- 1. Decompose into a DAG
- 2. Execute in dependency order
- 3. Gap iteration (max 1 round)
- 4. Synthesize
- Rules
What does the deep-dive skill do?
Claude-native deep research using DAG-based query planning, parallel subagent execution, and gap-driven iteration. No external API needed.
How do I install it?
Run `npx skills add rohitg00/awesome-claude-code-toolkit --skill deep-dive --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From rohitg00/awesome-claude-code-toolkit, a repository with 2,438 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.