9. Research & Analysis

Researches open-source libraries and frameworks to understand APIs, find usage examples, and troubleshoot issues using DeepWiki MCP.

Conducts systematic internet research by cross-referencing sources, evaluating credibility, and producing structured reports on topics, best practices, and industry trends.

Enables technical research, code analysis, and documentation lookup via OpenAI Codex CLI for external AI-assisted insights.

Extracts actionable rules and insights from user sessions to propose skill candidates for knowledge consolidation.

Enables high-quality web search using Exa.ai API to retrieve accurate information quickly.

Conducts hypothesis-driven market research and competitive analysis using top consulting methodologies, delivering strategic insights in PPTX format.

Provides deep, multi-source research and analysis for technology selection, product comparison, and trend assessment through layered web search and cross-verification.

Generates structured decision matrices and comparative analyses for technical frameworks, enabling data-driven architectural choices and best-of-breed recommendations.

Analyzes error propagation, sandboxing, and recovery mechanisms in agent frameworks to evaluate system resilience and production readiness.

Conducts comprehensive research by synthesizing documentation, academic papers, and best practices into structured insights using Dify-powered workflows.

Analyzes complex, interconnected problems using Systems Thinking principles, exploring feedback loops and root causes through guided questioning.

Conducts web-based information research to gather and analyze data from online sources for informed decision-making.

Locates and retrieves relevant research documents for academic or professional inquiry.

Requires fresh verification evidence before any completion claim, ensuring all assertions are substantiated by current data.

Scans Reddit subreddits for B2B/manufacturing insights, pre-formulates engagement responses, and extracts actionable business intelligence.

Provides a structured methodology for evaluating technologies, libraries, and approaches to support informed technical decision-making.

Guides users through iterative interviews to define research hypotheses, variables, baselines, and resources, resulting in a comprehensive research specification.

Critically analyzes research papers with grounded citations, assessing evidence strength and methodological limitations for academic research purposes.

An iterative research assistant that clarifies queries, conducts broad scans, and performs deep dives into original sources (papers, docs, forums) to gather and synthesize information for fact-checking and analysis.

Enforces mandatory research before feature implementation or architectural decisions to ensure informed development.

Analyzes policy save/load and checkpoint handling in metta and cogames to identify compatibility risks and legacy shims.

Captures and stores significant research insights, decisions, and learnings during development with embeddings for semantic retrieval.

Provides immediate access to the latest Claude Code documentation and engineering blog content via 24-hour cached knowledge base for feature and best practice inquiries.

Synthesizes qualitative user feedback from interviews, reviews, and social media into actionable product insights for teams.