squall-deep-research

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

1|Updated Feb 19, 2026

Search Tags:#research #codex #memory #persistence #gemini #web-search #source-citation

Ready to run

npx skills add https://github.com/DSado88/squall --skill squall-deep-research

💬 Prompt for ChatGPT / Claude Chat▼

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.