Produce a deep, multi-source, cited research brief on a topic from live web data using Bright Data's Discover API (intent-ranked web search + parsed page content). Use when the user wants "live research", to "research deeply", "research the latest on", "write a report on", "give me a briefing / literature review / market scan", "find and synthesize everything about", or otherwise wants a synthesized, source-grounded answer rather than a list of links. Decomposes the question into multiple intent-ranked Discover queries, pulls page content, deduplicates and ranks by relevance, then synthesizes a structured brief with inline citations. Built on the discover-api skill. For competitor-specific intel use competitive-intel; for social/brand sentiment use brand-listening; for a retrieval system (not a one-off report) use rag-pipeline.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryScience & researchStars0
About this skill
Produce a deep, multi-source, cited research brief on a topic from live web data using Bright Data's Discover API (intent-ranked web search + parsed page content). Use when the user wants "live research", to "research deeply", "research the latest on", "write a report on", "give me a briefing / literature review / market scan", "find and synthesize everything about", or otherwise wants a synthesized, source-grounded answer rather than a list of links. Decomposes the question into multiple intent-ranked Discover queries, pulls page content, deduplicates and ranks by relevance, then synthesizes a structured brief with inline citations. Built on the discover-api skill. For competitor-specific intel use competitive-intel; for social/brand sentiment use brand-listening; for a retrieval system (not a one-off report) use rag-pipeline.
Quick start
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Produce a deep, multi-source, cited research brief on a topic from live web data using Bright Data's Discover API (intent-ranked web search + parsed page content). Use when the user wants "live research", to "research <topic> deeply", "research the latest on", "write a report on", "give me a briefing / literature review / market scan", "find and synthesize everything about", or otherwise wants a synthesized, source-grounded answer rather than a list of links. Decomposes the question into multiple intent-ranked Discover queries, pulls page content, deduplicates and ranks by relevance, then synthesizes a structured brief with inline citations. Built on the `discover-api` skill. For competitor-specific intel use `competitive-intel`; for social/brand sentiment use `brand-listening`; for a retrieval *system* (not a one-off report) use `rag-pipeline`.
About this listing
Category
Science & research
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.