Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install brycewang-stanford-awesome-agent-skills-for-empirical-research-skills-25-hosungyou-diverga-skills-helpgit clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research.gitcp Awesome-Agent-Skills-for-Empirical-Research/SKILL.MD ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-skills-25-hosungyou-diverga-skills-help/SKILL.md--- name: help description: | Diverga help guide - displays all 24 agents across 9 categories, commands, and usage examples. Triggers: help, guide, how to use, 도움말 version: "12.0.1" --- # /diverga:help **Version**: 2.0.0 **Trigger**: `/diverga:help` ## Description Displays comprehensive guide for Diverga, including all 24 agents across 9 categories, commands, and usage examples. ## Output 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 ``` ## Direct Agent Invocation Users can invoke specific agents: ``` diverga:c5 # Invoke Meta-Analysis Master directly diverga:a1 # Invoke Research Question Refiner ``` ## Implementation Notes - Help content adapts to user's language preference - Agent recommendations based on detected research context - Links to GitHub for full documentation