9. Research & Analysis

Explores user intent and requirements through research and analysis to inform creative development work before implementation.

Gathers and analyzes information based on user queries, supporting research tasks through structured data collection and evaluation.

Conducts technical investigations via codebase and internet research, then proposes detailed implementation plans with clarifying questions.

Gathers contextual information from documentation, code examples, and web resources to provide structured findings for informed feature implementation decisions.

Assesses market viability of nonfiction book concepts for Amazon KDP, providing demand analysis, competition insights, and Go/No-Go recommendation.

Assists authors in planning, orchestrating, and validating deep research for nonfiction books through prompt generation, quality validation, and synthesis, using external AI execution.

Validates nonfiction book concepts against existing research, providing competitive landscape analysis and a Go/No-Go report to assess defensibility.

Provides instant access to LimaCharlie platform documentation, including APIs, SDKs, features, and technical details, by searching GitHub repositories.

Enables implementation of blinding procedures in randomized controlled trials to ensure objectivity, minimize bias, and comply with CONSORT standards.

Creates PRISMA 2020 flow diagrams to document systematic literature review processes, screening steps, and compliance for academic publications.

Formulates high-quality research questions using FINER criteria (Feasible, Interesting, Novel, Ethical, Relevant) for academic projects and grant proposals.

Systematically applies inclusion/exclusion criteria for literature review screening, documentation, and PRISMA compliance.

Enables unbiased participant allocation in experimental studies, ensuring CONSORT compliance and pre-registration requirements for research validity.

Identifies research gaps in systematic literature reviews to support academic writing, grant proposals, and future research planning.

Conducts quantitative synthesis of research studies by combining effect sizes, assessing heterogeneity, and calculating summary effects for systematic reviews.

Assesses risk of bias in research studies to support systematic reviews, study quality evaluation, and meta-analysis planning.

Guides the design of scientifically rigorous experiments to ensure internal validity and compliance with NIH rigor standards for research studies and grant proposals.

Generates evidence synthesis matrices for systematic reviews, enabling organized data comparison, study characteristic analysis, and pattern identification across research studies.

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

Adds research papers from ArXiv or PDF to a collection, handling fetching, summarization, and website updates.

Enables hierarchical decomposition of long-context tasks for efficient analysis of large documents, multi-file systems, and aggregated information from multiple sources.

Provides detailed case studies and analysis of building systems in popular games to inform design decisions and evaluate trade-offs.

Interactive HOL4 proof development tool for managing theorem files, builds, and session workflows.

Provides a structured pipeline for HOL4-based formal proof development, including planning, sketching, and proving phases for theorem verification.