Deep Research

by staruhub

Deep Research is an AI Engineering skill for Claude Code, published by staruhub in ClaudeSkills.

700 stars130 forkson staruhub/ClaudeSkillsAdded 2026/08/23+1% in starsRepository updated 2026/08/13

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agent-skillsai-agentsclaudeclaude-codeclaude-skillsdeep-research

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/staruhub/ClaudeSkills/tree/main/skills/Geek-skills-deep-research ~/.claude/skills/Geek-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/staruhub/ClaudeSkills.git

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

In this catalog

Source file: skills/Geek-skills-deep-research/SKILL.md in staruhub/ClaudeSkills
Installs to: ~/.claude/skills/Geek-skills-deep-research
Collection: One of 20 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Deep Research does

Deep Research produces evidence-based research memos, literature reviews, and decision briefs with citations and synthesis across multiple sources. Use it for multi-source questions that need trade-offs, a clear conclusion, and a reusable written artifact.

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

Documentation

README

Excerpt

Deep Research V8.1

This skill is for evidence-rich research outputs, not for every question that happens to mention “analysis”.

The V8 shift is simple:

Single-agent first. Start with one lead agent and only fan out when parallel work will clearly help.
Thin harness, fat skill. Put reusable judgment and workflow here; keep deterministic checks in scripts.
Context organization over prompt stuffing. Load the minimum active context bundle, then pull in references only when needed.
Eval and observability built in. A good report is not enough; the run must also be diagnosable and improvable.

What this skill should produce

Choose the lightest artifact that satisfies the task.

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

Frequently asked about Deep Research

What else does staruhub publish alongside Deep Research?
Deep Research is one of 20 skills that DirSkills catalogs from staruhub/ClaudeSkills, the repository it ships in. Its siblings there include A-Share Analyst, AI Sales Champion and C Drive Cleaner. Each one is a separate skill with its own page in this directory, installs the same way Deep Research does, and is maintained by staruhub in that same repository. The rest of the collection is listed on the staruhub/ClaudeSkills page.
How does Deep Research compare to other AI Engineering skills?
Deep Research ranks #1724 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 Research against them. Open each page to compare what they document and how they install.