Library Skill.md library
Each one names the GitHub repo it came from, so you can check exactly what it tells your AI to do.
274990 Skill.md files
--- name: i2 description: Screening Assistant - AI-PRISMA 6-dimension screening with Groq LLM (100x cheaper) Supports two project types with different confidence thresholds Use when: screening papers, PRISMA screening, inclusion/exclusion criteria Triggers: screen papers, PRISMA screening, inclusion criteria, exclusion criteria, AI screening ---
--- name: i3 description: RAG Builder with Parallel Document Processing Vector database construction with local embeddings (zero cost) Handles PDF download, text extraction, chunking, and vector database creation Absorbed B5 (Parallel Document Processor) capabilities Use when: building RAG, creating vector database, downloading PDFs, embedding documents, batch processing Triggers: build RAG, create vector database, download PDFs, embed documents, batch PDF processing ---
--- name: diverga-memory description: Diverga Memory System v7.0 - Context-persistent research support with checkpoint auto-trigger and cross-session continuity. Triggers: memory, remember, context, recall, checkpoint, decision, persist, 기억, 맥락, 세션, 체크포인트 ---
--- name: orchestrator description: Unified Agent Teams orchestrator for Diverga v12.0.0. Manages Agent Teams creation, VS Arena debate, and subagent dispatch. Single entry point for all parallel/debate workflows. Replaces research-orchestrator and vs-arena skills. Triggers: orchestrator, agent team, create team, parallel agents, debate, competing, collaborate, VS Arena ---
--- name: research-coordinator description: Research Coordinator v12.0 - Human-Centered Edition (Systematic Review Automation) Context-persistent platform with 24 specialized agents across 9 categories (A-G, I, X). Features: Human Checkpoints First, VS Methodology, Paradigm Detection, Systematic Review Automation. Supports quantitative, qualitative, mixed methods research, and systematic review automation. Language: English. Responds in Korean when user input is Korean. Triggers: research question, theoretical framework, hypothesis, literature review, meta-analysis, effect size, IRB, PRISMA, statistical analysis, sample size, bias, journal, peer review, conceptual framework, visualization, systematic review, qualitative, phenomenology, grounded theory, thematic analysis, mixed methods, interview, focus group, ethnography, action research, paper retrieval, AI screening, RAG builder, humanization, AI pattern detection ---
--- name: setup description: Diverga v12.0 setup wizard. 4-step researcher profile setup. Captures discipline, experience, tools, database access, and Agent Teams + VS Arena preference. Triggers: setup, configure, 설정, install ---
--- name: universal-ma-codebook description: Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review pipeline. Triggers: meta-analysis, codebook, data extraction, Hedges g, effect size ---
--- name: x1 description: Research Guardian - Ethics Advisory & Bias Detection across all research stages Enhanced VS 3-Phase process: Surface-level screening, deep contextual analysis, constructive recommendations Use when: reviewing research ethics, checking for bias, assessing trustworthiness, QRP screening Triggers: ethics review, IRB, bias detection, QRP, trustworthiness, research integrity, p-hacking, HARKing ---
--- name: algorithm-designer description: Design and document statistical algorithms with pseudocode and complexity analysis ---
--- name: computational-inference description: Computational methods for statistical inference and optimization ---
--- name: numerical-methods description: Numerical algorithms and computational techniques for statistics ---
--- name: simulation-architect description: Design and implementation of comprehensive simulation studies ---
--- name: statistical-software-qa description: Quality assurance and testing protocols for statistical software ---
--- name: asymptotic-theory description: M-estimation, influence functions, and semiparametric efficiency theory for causal inference ---
--- name: identification-theory description: DAG and potential outcomes frameworks for causal mediation identification ---
--- name: mathematical-foundations description: Core mathematical concepts and theoretical frameworks for statistics ---
--- name: proof-architect description: Structured methodology for constructing and verifying mathematical proofs in statistical research ---
--- name: cross-disciplinary-ideation description: Field connection mapping and systematic ideation for method transfer ---
--- name: literature-gap-finder description: Method×Setting matrices and systematic gap identification ---
--- name: mediation-meta-analyst description: Meta-analysis frameworks and methods for mediation studies ---
--- name: method-transfer-engine description: Six-phase protocol for adapting methods across research domains ---
--- name: sensitivity-analyst description: Sensitivity analysis frameworks and assumption-testing methods ---
--- name: methods-communicator description: Effective communication strategies for statistical methods ---
--- name: methods-paper-writer description: JASA/Biometrika manuscript structure with VanderWeele notation standards ---
