Find your way around Diverga with a guide to its 24 research agents across nine categories. View commands, example requests, direct invocation syntax, and checkpoints where people review research decisions, with recommendations based on research context.
Diverga help guide - displays all 24 agents across 9 categories, commands, and usage examples. Triggers: help, guide, how to use, 도움말
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Version: 2.0.0
Trigger: /diverga:help
Displays comprehensive guide for Diverga, including all 24 agents across 9 categories, commands, and usage examples.
When user invokes /diverga:help, display:
╔══════════════════════════════════════════════════════════════════╗
║ Diverga v11.0 Help ║
║ AI Research Assistant - 24 Agents, 9 Categories ║
╚══════════════════════════════════════════════════════════════════╝
┌─────────────────────────────────────────────────────────────────┐
│ QUICK START │
├─────────────────────────────────────────────────────────────────┤
│ Just describe your research: │
│ "I want to conduct a meta-analysis on AI in education" │
│ "Help me design a qualitative study" │
│ "메타분석 연구를 시작하고 싶어" │
│ │
│ Diverga auto-detects context and activates relevant agents. │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ COMMANDS │
├─────────────────────────────────────────────────────────────────┤
│ /diverga:setup Initial configuration wizard │
│ /diverga:doctor System diagnostics & health check │
│ /diverga:help This help guide │
│ /diverga:meta-analysis Meta-analysis workflow (C5) │
│ /diverga:humanize Humanization pipeline (G5+G6+F5) │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ CATEGORY A: FOUNDATION (3 agents) │
├─────────────────────────────────────────────────────────────────┤
│ diverga:a1 ResearchQuestionRefiner Refine research Qs │
│ diverga:a2 TheoreticalFrameworkArchitect Frameworks + Critique │
│ + Visualization (absorbed A3, A6) │
│ diverga:a5 ParadigmWorldviewAdvisor Ontology + Ethics │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ CATEGORY B: EVIDENCE (2 agents) │
├─────────────────────────────────────────────────────────────────┤
│ diverga:b1 LiteratureReviewStrategist Literature search │
│ diverga:b2 EvidenceQualityAppraiser RoB, GRADE appraisal │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ CATEGORY C: DESIGN & META-ANALYSIS (4 agents) │
├─────────────────────────────────────────────────────────────────┤
│ diverga:c1 QuantitativeDesignConsultant Quant design │
│ + Materials + Sampling (absorbed C4, D1) │
│ diverga:c2 QualitativeDesignConsultant Qual design │
│ + Ethnography + Action Research (absorbed H1, H2) │
│ diverga:c3 MixedMethodsDesignConsultant Mixed methods │
│ diverga:c5 MetaAnalysisMaster ⭐ Meta-analysis lead │
│ + Data/Effect/Error/Sensitivity (absorbed C6,C7,B3,E5)│
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ CATEGORY D: DATA COLLECTION (2 agents) │
├─────────────────────────────────────────────────────────────────┤
│ diverga:d2 DataCollectionSpecialist Interview + Observation │
│ (absorbed D3, renamed) │
│ diverga:d4 MeasurementInstrumentDeveloper Instrument dev │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ CATEGORY E: ANALYSIS (3 agents) │
├─────────────────────────────────────────────────────────────────┤
│ diverga:e1 QuantitativeAnalysisGuide Statistical guidance │
│ + Code Gen + Sensitivity (absorbed E4, E5) │
│ diverga:e2 QualitativeCodingSpecialist Qualitative coding │
│ diverga:e3 MixedMethodsIntegration Integration methods │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ CATEGORY F: QUALITY (1 agent) │
├─────────────────────────────────────────────────────────────────┤
│ diverga:f5 HumanizationVerifier Verify humanization │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ CATEGORY G: COMMUNICATION (4 agents) │
├─────────────────────────────────────────────────────────────────┤
│ diverga:g1 JournalMatcher Match journals │
│ diverga:g2 PublicationSpecialist Writing + Review + PreReg│
│ + Quality (absorbed G3, G4, F1, F2, F3) │
│ diverga:g5 AcademicStyleAuditor AI pattern detection │
│ diverga:g6 AcademicStyleHumanizer Humanize AI text │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ CATEGORY I: SYSTEMATIC REVIEW (4 agents) │
├─────────────────────────────────────────────────────────────────┤
│ diverga:i0 ReviewPipelineOrchestrator Pipeline coordination │
│ diverga:i1 PaperRetrievalAgent Multi-database fetch │
│ diverga:i2 ScreeningAssistant AI-PRISMA screening │
│ diverga:i3 RAGBuilder Vector DB + Parallel │
│ (absorbed B5) │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ CATEGORY X: CROSS-CUTTING (1 agent) │
├─────────────────────────────────────────────────────────────────┤
│ diverga:x1 ResearchGuardian Ethics + Bias detection │
│ (absorbed A4, F4) │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ HUMAN CHECKPOINTS │
├─────────────────────────────────────────────────────────────────┤
│ 🔴 REQUIRED (System STOPS): │
│ CP_PARADIGM Research paradigm selection │
│ CP_METHODOLOGY Methodology approval │
│ │
│ 🟠 RECOMMENDED (System PAUSES): │
│ CP_THEORY Theory framework selection │
│ CP_DATA_VALIDATION Data extraction validation │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ MODEL ROUTING │
├─────────────────────────────────────────────────────────────────┤
│ HIGH (Opus): A1,A2,A5,C1,C2,C3,C5,D4,E1,E2,E3,G6,I0 │
│ MEDIUM (Sonnet): B1,B2,D2,G1,G2,G5,X1,I1,I2 │
│ LOW (Haiku): F5,I3 │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ AUTO-TRIGGER KEYWORDS │
├─────────────────────────────────────────────────────────────────┤
│ "research question", "RQ", "연구 질문" → diverga:a1 │
│ "theoretical framework", "이론적 프레임워크" → diverga:a2 │
│ "critique", "devil's advocate", "반론" → diverga:a2 │
│ "IRB", "ethics", "연구 윤리" → diverga:x1 │
│ "meta-analysis", "메타분석", "효과크기" → diverga:c5 │
│ "systematic review", "PRISMA" → diverga:b1 │
│ "qualitative", "interview", "질적 연구" → diverga:c2 │
│ "ethnography", "action research" → diverga:c2 │
└─────────────────────────────────────────────────────────────────┘
For more info: https://github.com/HosungYou/Diverga
Users can invoke specific agents:
diverga:c5 # Invoke Meta-Analysis Master directly
diverga:a1 # Invoke Research Question Refiner
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Turn a broad research idea into clear, testable questions. Compare familiar and less conventional approaches, structure the selected question around its population and methods, and assess variables, feasibility, and potential theoretical contributions.
Helps build a research framework by comparing theories, mapping relationships between variables, and deriving testable hypotheses. Explores less conventional options, examines weaknesses and competing explanations, and produces diagrams with anticipated reviewer objections.
Clarify the philosophical assumptions behind a research project and check whether they fit the proposed methods. Get a reasoned research stance, draft proposal wording, and guidance for explaining how the researcher's background and values shape the study.
Plan and draft academic papers through specialized agent roles covering literature, arguments, citations, and review. Get chapter guidance, revision roadmaps, Traditional Chinese and English abstracts, and documents formatted as LaTeX, DOCX, PDF, or Markdown.
Turn a detailed outline into a philosophy or interdisciplinary manuscript. Draft chapters with repeated quality reviews, check terminology and arguments across sections, and prepare the manuscript, evaluation reports, abstract, and metadata for submission.
Simulate academic peer review through five reviewer roles tailored to the paper's field. Receive separate critiques, an editorial decision, and a prioritized revision roadmap, or check whether a revised manuscript addresses earlier comments.