9. Research & Analysis

Searches conversation history to find research context including papers, citations, discoveries, and questions.

Automates cleanup of research agent memory by consolidating paper information, organizing research domains, and removing redundant tracking entries.

Performs systematic deep research by refining queries, collecting academic papers, analyzing data, and synthesizing findings into a comprehensive markdown report.

Conducts deep web research using DuckDuckGo with time/region filters, generating structured Markdown summaries with source citations for content creation.

Enables efficient search and retrieval of academic papers from arXiv for scholarly research purposes.

Automates research discovery, transforming vague ideas into functional systems through a single streamlined conversation.

Provides access to Brave Search API for retrieving web and news results, enabling efficient information gathering for research and analysis.

Leverages documented failures and proven approaches from a knowledge bank to deliver structured insights, reducing context by 69-94% for efficient problem-solving.

Conducts comprehensive technical audits of websites, assessing performance, accessibility, SEO, and best practices.

Conducts external research workflows to gather information from web sources, documentation, and APIs without internal codebase access.

Conducts deep, multi-phase investigations with expert consultation for complex problem-solving.

Conducts targeted analysis of codebases to explain architecture, configuration, data flows, and implementation details in response to specific technical queries.

Searches historical reasoning and decisions to provide context and support for current problem-solving and analytical tasks.

Provides problem-solving strategies for proof theory in mathematical logic, aiding researchers in constructing and analyzing logical proofs.

Searches GitHub repositories, code, issues, and pull requests via MCP for efficient code and project research.

Research agent leveraging MCP tools to gather external documentation, best practices, and library API information for developers.

Performs API-driven web searches and content extraction for research, documentation, and fact gathering without browser dependency.

Pre-implementation process for exploring user intent, requirements, and design through collaborative idea generation.

Provides structured step-by-step analysis for complex problems with multiple solutions, vague scope, or after failed attempts requiring strategic reevaluation.

Provides documentation insights for specialized third-party libraries, including migration paths and alternatives before implementation.

Analyzes learning and journal entries to uncover improvement opportunities in skills, documentation, and processes.

Research agent that retrieves external documentation, best practices, and library API information using MCP tools for efficient knowledge acquisition.

Analyzes repository structure, patterns, conventions, and documentation to facilitate understanding of a new codebase.

Validates technology choices in project plans against established industry best practices through analytical comparison.