Deep Research

Deep Research is an AI Engineering skill for Claude Code, published by billy-enrizky in openbrowser-ai.

241 stars21 forkson billy-enrizky/openbrowser-aiAdded 2026/09/02Repository updated 2026/07/07

agent-skillsaiai-agentsai-browserai-browser-automationartificial-intelligencebrowser-automationclaude-codeclaude-code-skills

Install in seconds

Install Deep Research

Copy Deep Research 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/billy-enrizky/openbrowser-ai/tree/main/plugin/skills/deep-research ~/.claude/skills/deep-research

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/billy-enrizky/openbrowser-ai.git

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

In this catalog

Source file: plugin/skills/deep-research/SKILL.md in billy-enrizky/openbrowser-ai
Installs to: ~/.claude/skills/deep-research
Collection: One of 7 skills cataloged from this repository
Category: AI Engineering — 2631 skills

What Deep Research does

Deep Research drives openbrowser-ai to break a topic into sub-questions, gather evidence from multiple sources, and merge the findings into a cited markdown report and JSON files. Use it for deep dives, comparisons, literature reviews, and briefing notes.

Deep Research is cataloged under AI Engineering on DirSkills. Deep Research comes from a repository tagged agent-skills, ai, ai-agents, ai-browser and ai-browser-automation.

Documentation

README

Excerpt

Deep Research

Drive openbrowser-ai to investigate a topic across multiple web sources and produce a cited markdown report plus structured JSON. Two modes:

flat synthesis (default) -- decompose query into 3-7 sub-questions, dispatch one parallel sub-agent per sub-question (each owns one tab), merge into one cited report.
drilldown (auto-detected from prompt phrasing: "deep dive", "exhaustive", "recursive", "drilldown", "thorough") -- same as flat, plus a second wave of parallel sub-agents on findings flagged needs_depth=true. Hard cap depth=2, max 3 follow-up sub-agents per parent.

Output paths (relative to current project root):

local_docs/research/YYYY-MM-DD-<slug>.md
local_docs/research/YYYY-MM-DD-<slug>.json

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

Commands Deep Research provides

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

/dispatching-parallel-agents

Frequently asked about Deep Research

What else does billy-enrizky publish alongside Deep Research?
Deep Research is one of 7 skills that DirSkills catalogs from billy-enrizky/openbrowser-ai, the repository it ships in. Its siblings there include Accessibility Audit, End-to-End Testing and File Download. Each one is a separate skill with its own page in this directory, installs the same way Deep Research does, and is maintained by billy-enrizky in that same repository. The rest of the collection is listed on the billy-enrizky/openbrowser-ai page.
How does Deep Research compare to other AI Engineering skills?
Deep Research ranks #2382 by stars among the 2631 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 Research against them. Open each page to compare what they document and how they install.