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AI EngineeringPython

Research Deep

by Weizhena

Research Deep is an AI Engineering skill for Claude Code, published by Weizhena in Deep-Research-skills.

2K stars161 forkson Weizhena/Deep-Research-skillsAdded 2026/08/18+1% in starsRepository updated 2026/05/07
claude-codeclaude-code-skillsdeep-research-agentgpt-skillsllm-agentopencodeopencode-skillsresearch
Install in seconds
Install Research Deep
Copy Research Deep 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/Weizhena/Deep-Research-skills/tree/master/skills/research-codex-en/research-deep ~/.claude/skills/research-deep

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/Weizhena/Deep-Research-skills.git

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

In this catalog

Source file
skills/research-codex-en/research-deep/SKILL.md in Weizhena/Deep-Research-skills
Installs to
~/.claude/skills/research-deep
Collection
One of 13 skills cataloged from this repository
Category
AI Engineering2451 skills

What Research Deep does

Research Deep reads a research outline, launches independent web-search agents for each item in batches, disables task output, and writes validated structured JSON results.

Research Deep is cataloged under AI Engineering on DirSkills. Research Deep comes from a repository tagged claude-code, claude-code-skills, deep-research-agent, gpt-skills and llm-agent.

Documentation

README

Research Deep - Deep Research

Trigger

/research-deep

Workflow

Step 1: Auto-locate Outline

Find */outline.yaml file in current working directory, read items list, execution config (including items_per_agent).

Step 2: Resume Check

  • Check completed JSON files in output_dir
  • Skip completed items

Step 3: Batch Execution

  • Batch by batch_size (need user approval before next batch)
  • Each agent handles items_per_agent items
  • Launch web-search-agent (background parallel, disable task output)

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

Commands Research Deep provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /research-deep

Frequently asked about Research Deep

  • What else does Weizhena publish alongside Research Deep?

    Research Deep is one of 13 skills that DirSkills catalogs from Weizhena/Deep-Research-skills, the repository it ships in. Its siblings there include Preliminary Research, Research and Research. Each one is a separate skill with its own page in this directory, installs the same way Research Deep does, and is maintained by Weizhena in that same repository. The rest of the collection is listed on the Weizhena/Deep-Research-skills page.

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

    Research Deep ranks #885 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 Research Deep against them. Open each page to compare what they document and how they install.

More from Weizhena/Deep-Research-skills

Research Deep is one of 13 skills cataloged on DirSkills from Weizhena/Deep-Research-skills.

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Preliminary Research

Preliminary Research builds an initial research framework from model knowledge, supplements it with web search, and generates outline.yaml and fields.yaml to guide deeper research.
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Research

Research creates a preliminary research outline for a target topic, combining internal knowledge, web search, and user-defined fields. Use it before deep research for academic surveys, benchmark evaluations, or technology selection.
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Research Add Fields

Research Add Fields appends new field definitions to an existing research outline fields.yaml file. Use it when a deep research topic needs additional fields sourced from user input or web search.
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Research Add Fields

Research Add Fields adds new field definitions to an existing research outline's fields.yaml. Use it when you need to expand the structure of a research topic with user-provided or web-searched fields.
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Research Add Items

Research Add Items appends new research objects (items) to an existing outline.yaml file, prompting the user for supplements and optionally launching web search to find more.
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