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deep-research

Conducts systematic multi-angle web research before content generation tasks.

Updated Aug 15, 2026
Search Tags:#content generation#search#web research#source validation#deep research#multi-angle analysis#fact gathering
One-click install
npx skills add https://github.com/qqlcx5/skills-hub --skill deep-research-qqlcx5
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/qqlcx5/skills-hub/tree/main/skills/deep-research
Command: npx skills add https://github.com/qqlcx5/skills-hub --skill deep-research-qqlcx5

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Single superficial web searches produce shallow, outdated, or one-sided answers. This Skill replaces ad-hoc searching with a structured research methodology so AI-generated answers and content are grounded in comprehensive, current, multi-source information. ## Core Features & Use Cases - Four-Phase Research Methodology: Broad exploration, deep dives per dimension, diversity and validation across source types, and a synthesis checklist before writing. - Temporal-Aware Search Queries: Aligns query precision (day, week, month, year) with the user's intent using the current date, so "today's news" queries actually return same-day results. - Pre-Content Research Gate: Enforces research completion before generating presentations, articles, reports, or frontend designs. - Use Case: Ask "research the current state of AI in healthcare" and the agent runs multiple targeted searches across diagnostics, regulation, market data, and expert opinion, fetches full authoritative sources, then synthesizes a balanced report. ## Quick Start Ask the agent to deeply research a topic, for example: "Research and compare the latest electric vehicle battery technologies before writing my report."

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I do deep web research with an AI agent?▼

Start with broad searches to map the topic's dimensions, then run targeted queries per subtopic, fetch full authoritative sources instead of relying on snippets, and validate coverage across facts, examples, expert opinions, and criticisms before synthesizing.

What is the difference between deep research and a single web search?▼

A single search returns one angle and often outdated snippets. Deep research uses multiple phrasings, diverse source types, full-content fetching, and iterative gap-filling to produce comprehensive, balanced, current findings.

How do I search for today's news with an AI agent?▼

Include month, day, and year in your queries, such as "tech news February 28 2026", and try numeric, written, and relative phrasings. Year-only queries like "news 2026" will miss same-day results.

When should research happen before content generation?▼

Research should always precede creating presentations, articles, reports, or designs that depend on real-world facts, examples, or current data. Generating from general knowledge alone produces shallow or outdated content.

Why does my AI research feel shallow or one-sided?▼

Shallow results come from stopping after one or two searches, trusting snippets without reading full sources, and ignoring challenges or contradicting viewpoints. Use a synthesis checklist covering at least three to five angles before concluding.

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