squall-deep-research

Execute single-agent deep research workflows with web-sourced evidence and citations.

1|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/DSado88/squall --skill squall-deep-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: squall-deep-research
Source: https://github.com/DSado88/squall/tree/main/.claude/skills/squall-deep-research
Command: npx skills add https://github.com/DSado88/squall --skill squall-deep-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates expert-level web research workflows by coordinating Codex (and optionally Gemini) to collect, cite, and summarize current information for questions that extend beyond the codebase.

Core Features & Use Cases

  • Single-agent deep research with Codex web search and optional Gemini deep analysis for deeper insights.
  • Persist results to .squall/research/<topic>.md with citations and structured summaries for later retrieval.
  • Memorize reusable insights across sessions to accelerate future inquiries and maintain reference history.
  • Use cases include product research, technology comparisons, and evidence-backed factual validation.

Quick Start

Ask for deep research and let Squall dispatch Codex (and Gemini) to gather web sources and persist results.

Frequently Asked Questions about squall-deep-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate web research with source citations and persistent memory?

Deep web research with citations and persistent memory frames single-agent workflows to gather current evidence, attribute sources, and persist structured summaries to .squall/research markdown files for later retrieval.

What is the best way to conduct deep research comparing technologies beyond my codebase?

Deep research comparing technologies beyond a codebase dispatches web search agents to collect and cite current information, applying deeper analysis for complex insights, generating structured summaries, and memorizing reusable facts across sessions.

Can I use Gemini for deeper analysis during a Codex web search workflow?

Gemini can be applied for deeper analysis during a Codex web search workflow. The system leverages Codex by default for gathering web-sourced evidence and applies Gemini for deeper analysis when available to enhance research insights.

Does deep web research persist results and source citations for later retrieval?

Deep web research persists results and source citations for later retrieval by saving outputs to .squall/research topic markdown files. These files contain structured summaries and source attributions to maintain a reference history across sessions.

How do I validate factual evidence using automated web search and source attribution?

Validating factual evidence using automated web search and source attribution executes single-agent research workflows to collect current web-sourced data and apply prompt engineering for accurate citation. It supports evidence-backed validation by structuring summaries with reference history.