deep-research

Coordinates hierarchical multi-agent web research swarms with parallel searches and full-page scraping.

Updated Sep 17, 2026
One-click install
npx skills add https://github.com/Kabirsharmasans/antigravity-boost-skills --skill deep-research-kabirsharmasans
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/Kabirsharmasans/antigravity-boost-skills/tree/main/deep-research
Command: npx skills add https://github.com/Kabirsharmasans/antigravity-boost-skills --skill deep-research-kabirsharmasans

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Single-agent web research is slow, shallow, and prone to accepting unverified claims. This Skill orchestrates a swarm of parallel research subagents that decompose a topic, run massive numbers of web searches, scrape full pages, and stress-test findings before delivering a consolidated report. ## Core Features & Use Cases - Tiered Depth Modes: Choose from 6 modes (Very Fast, Fast, Lite, Deeper, Ultra, and a 5-tier fractal mode scaling up to ~550 subagents) with defined search budgets per mode. - Verification & Safety Controls: Includes 102% overthink verification, instant premise correction, mandatory full-page scraping, a strict 2-minute hard timeout, and execution telemetry logging. - Structured Deliverables: Produces a plain-English research report with executive summary, fact-check alerts, comparison tables, edge-case analysis, and a verified source directory, plus post-research swarm lifecycle management. - Use Case: Ask for a deep dive on a technical topic like GPU benchmark comparisons; the swarm fans out across dozens of searches, scrapes documentation and benchmark tables, verifies claims, and returns a single consolidated report within two minutes. ## Quick Start Run /deep-research on the topic of your choice and select a depth mode when prompted.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I run deep research on a topic with multiple agents?

Invoke /deep-research followed by your topic, then select a depth mode when prompted. Modes range from Very Fast with 5 flat subagents up to a 5-tier fractal swarm with as many as 550 subagents, each with a defined search budget.

What research depth mode should I choose for my topic?

Use Very Fast or Fast for quick checks and API questions, Lite or Deeper for focused technical deep dives, and Ultra for exhaustive industry landscapes. The RBG mode is reserved for maximum-depth exploratory research with hundreds of subagents.

What happens if the research swarm takes too long?

A strict 2-minute hard timeout applies to every run. If subagents have not finished within 120 seconds, the main agent synthesizes all received reports, terminates remaining subagents, and notes incomplete channels in the telemetry block.

Does the research verify facts or just summarize search snippets?

Subagents must scrape full pages rather than rely on snippets, apply an overthink pass that stress-tests initial answers, and instantly correct false premises. Corrections are flagged in a dedicated fact-check section of the final report.

Can I ask follow-up questions after the research completes?

Yes. After the report is delivered you can choose to continue research, which messages the existing subagents to reuse their context. Starting a new topic or a third round kills the old swarm and spawns a fresh one.