search-specialist
FeaturedExpert web researcher using advanced search techniques and
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Quality Score: 99/100
Skill Content
Details
- Author
- sickn33
- Repository
- sickn33/antigravity-awesome-skills
- Created
- 4 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
search-specialist
Expert web researcher using advanced search techniques and synthesis. Masters search operators, result filtering, and multi-source verification. Handles competitive analysis and fact-checking. Use PROACTIVELY for deep research, information gathering, or trend analysis.
specialization-researcher
Research specialization domains, compile references, analyze best practices, and gather comprehensive knowledge for new specialization creation.
deep-researcher
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Use when the user needs thorough investigation, market research, technical deep-dives, due diligence, or comprehensive analysis on any subject.
search-tips
This skill should be used when performing web research beyond a simple single search -- looking into topics, comparing options, investigating questions, finding recommendations, or any task where effective use of Exa, Firecrawl, and Reddit tools matters. Triggers on "research", "look into", "investigate", "compare", "find out about", "search for", "find information", "what do people think about", "what are the best", "look up", or multi-source search tasks. Also invocable explicitly by deep-research team members via the Skill tool.
auto-researcher
Proactively researches any topic by searching, synthesizing, and presenting well-sourced information — without waiting to be asked. Triggered when the user asks about current events, wants in-depth learning, says "what's the latest on...", "research X for me", "find out about...", "give me a briefing on...", or when the task would benefit from up-to-date external information. Also triggers mid-task proactively when live data, prices, specs, or recent developments would meaningfully improve the answer. Output is structured: a key finding, 3-5 supporting evidence points with sources, any conflicting views, known limitations, and 2-3 further reading links. Source quality is tiered (peer-reviewed primary sources down to anonymous forums), and confidence levels are flagged inline for every major claim.