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Deep multi-round web research with parallel fetching. Triggers: deep search, research, 深度搜索, 调研, investigate, deep research.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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| name | deep-search |
| description | Deep multi-round web research with parallel fetching. Triggers: deep search, research, 深度搜索, 调研, investigate, deep research. |
The deep_search tool performs deep multi-round web research. It iteratively searches from multiple angles, fetches pages in parallel, chases the most-referenced external sources, and produces a structured research report.
Call deep_search with a query and optional depth. The tool will:
./research/<query-slug>/1 = Quick: single search round + crawl (~1 min, up to 10 pages)2 = Standard: 3 search rounds + reference chasing (~3 min, up to 30 pages)3 = Thorough: 5 search rounds + aggressive link chasing (~5 min, up to 50 pages)perplexity, duckduckgo, brave, you. Defaults to auto-detection (prefers Perplexity).{
"query": "AI regulations worldwide 2026",
"depth": 2
}
Returns a structured research report including:
Use read_file on specific source files for full content when you need detailed synthesis.
Results are saved to ./research/<query-slug>/:
_report.md -- structured research report_search_results.md -- combined raw search results from all rounds01_<domain>.md -- full page content from first source02_<domain>.md -- full page content from second sourcePERPLEXITY_API_KEY -- enables Perplexity Sonar (recommended, best for deep research)BRAVE_API_KEY -- enables Brave SearchYDC_API_KEY -- enables You.com searchWithout API keys, DuckDuckGo HTML search is used as fallback.