deep-research

name	deep-research
description	Systematic multi-phase web research producing thorough, cited reports
metadata	{"zeptoclaw":{"requires":{}}}

Deep Research Skill

Use this skill when the user asks you to research a topic in depth, produce a report, or investigate something thoroughly. A single search query is NEVER enough for real research.

Methodology

Phase 1: Broad Exploration (3-5 searches)

Start wide. Use web_search with varied phrasings to map the territory:

• Search the main topic from different angles
• Identify subtopics, key players, and perspectives
• Note which areas have the most information vs gaps

Example: For "state of AI agents in 2026":

• web_search("AI agent frameworks 2026")
• web_search("autonomous AI agents market landscape")
• web_search("AI agent orchestration tools comparison")

Phase 2: Deep Dive (2-3 searches + fetches per subtopic)

For each important subtopic from Phase 1:

• Use targeted, precise search queries
• Try multiple phrasings for the same concept
• Use web_fetch to read full articles (not just search snippets)
• Follow references and links mentioned in sources

Example:

• web_search("LangGraph vs CrewAI vs AutoGen benchmark 2026")
• web_fetch("https://example.com/detailed-comparison-article")

Phase 3: Diversity & Validation

Ensure you have coverage across these 6 types of information: