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AI EngineeringPython

Deep Research

by juanandresgs

Deep Research is an AI Engineering skill for Claude Code, published by juanandresgs in claude-ctrl.

192 stars28 forkson juanandresgs/claude-ctrlAdded 2026/09/06Repository updated 2026/08/07

View source on GitHub Download repo ZIP

ai-codingclaude-codeclaude-code-configclaude-code-hooksdeprecateddeveloper-toolsmulti-agentsdlcsoftware-engineeringunmaintained

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/juanandresgs/claude-ctrl/tree/main/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/juanandresgs/claude-ctrl.git

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

In this catalog

Source file: skills/deep-research/SKILL.md in juanandresgs/claude-ctrl
Installs to: ~/.claude/skills/deep-research
Collection: One of 10 skills cataloged from this repository
Category: AI Engineering — 3278 skills

What Deep Research does

Deep Research queries OpenAI, Perplexity, and Gemini in parallel for a topic and compares their findings. Use it when you need a synthesized research summary with agreements, disagreements, and unique insights.

Deep Research is cataloged under AI Engineering on DirSkills. Deep Research comes from a repository tagged ai-coding, claude-code, claude-code-config, claude-code-hooks and deprecated.

Documentation

README

Excerpt

Deep Research: Multi-Model Comparative Analysis

Query up to 3 deep research models (OpenAI o3-deep-research, Perplexity sonar-deep-research, Gemini deep-research-pro) in parallel, then produce a comparative assessment highlighting agreements, disagreements, and unique insights.

Setup Check

The skill requires at least one API key. Check ~/.claude/.env:

First-Time Setup

If no config exists, create it:

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

Frequently asked about Deep Research

What else does juanandresgs publish alongside Deep Research?
Deep Research is one of 10 skills that DirSkills catalogs from juanandresgs/claude-ctrl, the repository it ships in. Its siblings there include Codex Result Handling, Codex Runtime and Context Preservation. Each one is a separate skill with its own page in this directory, installs the same way Deep Research does, and is maintained by juanandresgs in that same repository. The rest of the collection is listed on the juanandresgs/claude-ctrl page.
How does Deep Research compare to other AI Engineering skills?
Deep Research ranks #2904 by stars among the 3278 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.

More from juanandresgs/claude-ctrl

Deep Research is one of 10 skills cataloged on DirSkills from juanandresgs/claude-ctrl.

See all 10 skills →

Codex Result Handling

Codex Result Handling guides how to present Codex helper output back to the user without changing its meaning. Use it for review results, failures, setup issues, and any output that must preserve findings, severity, and boundaries.

Codex Runtime

Codex Runtime forwards a single rescue request to the codex-companion runtime from Claude Code. Use it in the codex:codex-rescue subagent when you need diagnosis, research, planning, or a fix request sent through one task call.

Context Preservation

Context Preservation generates structured session summaries before compaction so work can resume without losing goals, changes, decisions, or next steps. Use it when a Claude Code session is about to be compacted or needs a handoff.

Decide

Decide generates interactive configurators for complex trade-off decisions from research, plans, or conversation context. It is used when options have costs, dependencies, and multiple criteria to compare.

GPT-5.4 Prompting

GPT-5.4 Prompting gives rules and reusable blocks for writing compact Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks. Use it when you need to structure a prompt with clear output, verification, and grounding constraints.

Observatory

Observatory analyzes hook, agent, and dispatch health, then summarizes patterns, trends, and suggestion status. Use it to review operational metrics and manage the improvement loop.

More AI Engineering skills

Deep Research is one of 3278 AI Engineering skills cataloged on DirSkills, ranked #2904 by stars among them.

Browse all AI Engineering skills →

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.