9. Research & Analysis

Provides systematic research and analysis for technical decisions, including technology comparisons, architecture evaluation, and trade-off analysis.

Clarifies ambiguous user requests through iterative questioning to define actionable requirements.

Aggregates developer community opinions on technology topics from platforms like Reddit, HN, and Dev.to for sentiment analysis and market insights.

Analyzes content trends across platforms like Google Trends, Reddit, and LinkedIn to generate data-driven article outlines based on user intent analysis.

Provides web search, URL content extraction, and information retrieval capabilities for research and analysis tasks.

Searches academic papers and scientific literature from databases including arXiv, PubMed, IEEE, and Scopus.

Enables deep exploration of multi-repository codebases to research library internals, find patterns, and compare implementations across GitHub, npm, PyPI, and crates.

Identifies industry-leading products through browser-based web search and competitive analysis for market intelligence.

Conducts technical research via web searches and GitHub analysis to evaluate implementation options and technology solutions.

Enables real-time web search to gather current information, conduct research, and find answers to user queries.

Symptom-based decision trees for diagnosing phone energy issues (battery, heat, drain, cellular) with time-cost analysis for each path.

Researches Apple frameworks, APIs, and WWDC sessions by retrieving transcripts, code samples, and documentation via Chrome and sosumi.ai.

Framework for deep analysis of articles and content using multiple thinking models to extract insights and identify logical flaws.

Manages academic citations by searching Google Scholar/PubMed, validating references, and generating BibTeX entries for scientific writing.

Analyzes media file properties including duration, resolution, bitrate, and codec information.

Automates assessment of research artifacts against NDSS badge criteria, validating DOI, documentation, and reproducibility requirements.

Searches internal knowledge bases (Confluence, Jira) to find, explain, and cite information on company systems, processes, and technical details.

Reviews technical research for objectivity, evidence, and completeness to meet the Documentarian standard.

Conducts technical research to understand codebases, trace data flows, and map implementation patterns for effective code navigation and analysis.

Conducts technical SEO audits analyzing crawlability, indexability, and Core Web Vitals to identify and resolve website performance issues.

Analyzes search engine results pages (SERP) to classify user intent, identify competitive features, and gather intelligence for content strategy development.

Expands seed keywords and clusters by topic and intent for SEO content planning and strategy.

Analyzes discrepancies between documented project plans and actual implementation state, including plan drift and roadmap alignment.

Analyzes product requirements documents to identify overlooked edge cases and failure scenarios, enhancing product robustness and reliability.