9. Research & Analysis

Automates consolidation of multiple research findings into a single, well-structured report using iterative best practices.

Compiles the latest AI industry news, updates, and company announcements from leading AI companies and sources.

Enables dual-agent research verification by independently conducting reviews, then collating findings to identify consensus, unique insights, and discrepancies.

Analyzes user skill sets to identify coverage gaps, redundant overlaps, and optimization opportunities for effective skill management.

Analyzes product documents to identify gaps, generate clarifying questions, and assess technical risks for engineering teams.

Analyzes job postings and market trends to create personalized job search strategies that highlight strengths and address skill gaps.

Conducts in-depth research on tech stack best practices and product domain strategies using Context7 or WebSearch tools.

Offers a structured methodology for thorough problem analysis, option evaluation, and architectural decision-making.

Systematically analyzes problems through domain, design, and mechanics layers to ensure comprehensive solution development.

Offers a step-by-step problem-solving framework for decomposing complex issues, verifying hypotheses, and adapting plans through iterative analysis.

Guides technical research through structured phases to evaluate architectures, technologies, and best practices with YAGNI, KISS, and DRY principles.

Researches, validates, and integrates new strategic frameworks into the system using web search and quality assessment.

Analyzes saved product strategy sessions to identify recurring themes, risks, and actionable insights through pattern recognition.

Conducts systematic competitive analysis using parallel agents to gather and synthesize competitor data into actionable business insights.

Builds defensible Discounted Cash Flow (DCF) models with source citations, Excel export, and sensitivity analysis for financial valuation and investment analysis.

Automates research-backed skill creation using Firecrawl for data gathering, multi-tier validation, and comprehensive auditing per Anthropic specifications.

Detects user requests requiring critical analysis and triggers the /advise command for in-depth evaluation.

Provides research methodology and best practices for identifying and analyzing existing patterns across domains.

Comprehensive toolkit for stock research, including data acquisition, technical/fundamental analysis, risk assessment, and professional reporting to support trading decisions.

Enables efficient academic literature search on arXiv, supporting keyword queries, abstract retrieval by ID, and PDF downloads for research purposes.

Assists in planning features, researching implementations, and understanding codebases through exploratory research and clarification before generating specifications.

Conducts thorough, multi-source research using a 7-phase protocol with source triangulation and verified citations for any topic.

Researches North American mountain peaks and generates comprehensive route reports for climbers.

Guides systematic research expansion, diagnoses quality, and ensures completeness for any topic. Helps overcome research stagnation and verify thoroughness.