리서치·학습 스킬

Turn research findings into academic abstracts, public summaries, press releases, and social posts tailored to each audience. Also supports reviewer responses, study pre-registration, reporting checklists, and checks on consistency and reproducibility.

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• Drafting an abstract for journal submission
• Explaining research findings to the public
• Preparing point-by-point reviewer responses

Find and compare academic journals using a research abstract, field, and publication priorities. The skill combines topic fit, citation metrics, open access options, and practical considerations into a comparison report, sequential submission plan, and cover letter template.

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• Finding journals that match a research topic
• Comparing candidate journals side by side
• Reviewing open access options and publication fees

Screen research papers against a research question using six scoring dimensions. Choose criteria for a broad knowledge collection or a systematic review, then receive inclusion, exclusion, and human-review lists with evidence quotes checked against abstracts.

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• Screen papers for a systematic review
• Build a broad collection of relevant literature
• Review and approve inclusion and exclusion criteria

Coordinate multiple AI agents in Diverga for parallel research, reviews, and methodology comparisons. Manage team creation, progress, and results, or run VS Arena debates where different research perspectives critique recommendations before the user chooses an approach.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing research methods from different perspectives
• Reviewing a methodology section from several angles
• Retrieving papers from multiple databases in parallel

Compare qualitative research designs for studying experiences, stories, cultures, or developing theory. Receive three options matched to the research question and available resources, plus a plan for participant selection, data collection, analysis, and quality checks.

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• Comparing qualitative research designs
• Planning participant selection and sample size
• Designing interview and observation procedures

Coordinate meta-analysis, which combines results across studies, from data extraction to reporting. Validate effect sizes, check for duplicates and implausible values, and assess how individual studies or publication bias affect the combined result.

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• Validate effect sizes extracted from research papers
• Check duplicate studies and dependent results
• Assess how individual studies affect pooled results

Plan quantitative research by comparing experiments and surveys against research goals and resource limits. Get design recommendations, sample size calculations, participant recruitment strategies, and experimental materials, with an assessment of factors that could distort results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare experimental and survey designs
• Estimate the number of participants needed
• Plan participant sampling and recruitment

Collect papers across research databases, turn research questions into targeted search queries, remove duplicate records, and extract available PDF links. Useful for preparing systematic literature reviews, with database selection and access checks before retrieval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collecting papers across multiple research databases
• Turning research questions into database search queries
• Removing duplicate records and finding PDF links

Coordinate a seven-stage literature review, from defining a research question to collecting and screening papers, building a searchable knowledge database, and producing PRISMA documentation. Specialized agents handle execution, with human approval at key decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Managing a systematic literature review
• Building a research knowledge repository
• Tracking approval of paper selection criteria

Extract statistical values from research PDFs for meta-analysis, which combines results across studies. Track each value’s source and confidence, prioritize review, and manage human corrections and final approval in a shared data structure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting statistics from research PDFs
• Prioritizing uncertain or conflicting values for review
• Tracking human corrections and final approval

Develop questionnaires and measurement scales for social science research, from drafting questions to planning pilot studies. Organize checks of whether scores measure the intended concept consistently, and prepare scoring guidance and reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting questionnaire items and response options
• Planning expert reviews and cognitive interviews
• Planning factor analysis and reliability checks

Review research ethics, participant protection, and potential bias from planning through publication. The skill examines questionable research practices and study trustworthiness, then produces a structured report with evidence, risk levels, and prioritized recommendations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review consent documents before collecting data
• Screen analyses for questionable research practices
• Assess trustworthiness in qualitative research

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a research topic into testable questions
• Narrow an overly broad research question
• Compare alternative research angles

Keep research progress, decisions, and pending checkpoints across sessions. Store project context locally, recover essential details when returning, and track why decisions changed so research work can resume with a clear next step.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resuming research after a break
• Reviewing decisions and their rationale
• Checking pending research milestones

Check academic references for existence, accurate publication details, and support for cited claims. Provides a writing-time verification workflow using WebSearch and Google Scholar, including BibTeX retrieval and clear handling of references that cannot be verified.

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• Checking references suggested by AI
• Matching authors, titles, years, and publication venues
• Confirming that a paper supports a cited claim

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.

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• Explore Diverga's research agents
• Find commands for setup and diagnostics
• Choose an agent for a research task

Design studies that combine quantitative data, such as surveys, with qualitative evidence, such as interviews. It recommends a suitable design and outlines study phases, participant selection, timing, and ways to combine findings into an integrated interpretation.

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• Plan follow-up interviews to explain survey results
• Develop survey measures from interview findings
• Compare quantitative and qualitative findings

View a dashboard for a social science research environment with 24 specialized agents. Check configuration, project stage, human review settings, and connection readiness for paper retrieval services and other research tools.

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• Check research environment configuration
• Review project stage and human checkpoints
• Find missing API settings

Assess study quality and risk of bias, meaning systematic distortions in research results. Choose assessment tools suited to the study and review purpose, document judgment rationales, and summarize evidence certainty and recommendations for use in further analysis.

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• Appraising studies included in a systematic review
• Checking study quality before a meta-analysis
• Assessing evidence certainty with GRADE

Organize interview transcripts and other qualitative material into codes, or meaning labels, and broader themes. Develop coding guidelines, compare researchers’ coding decisions, and document whether additional data still introduces new findings.

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• Developing a codebook for interview analysis
• Organizing codes into themes
• Checking agreement between researchers

Generate 15–20 research directions from a question, topic, or data opportunity, then narrow them to 5–7 candidates. Receive ranked ideas with feasibility assessments, key risks, confidence scores, and reasons for rejecting the others.

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• Explore research directions from a broad topic
• Find research uses for newly available data
• Compare ideas by feasibility and contribution

Turn social science papers into structured Markdown reading notes covering contributions, key findings, methods, data, and limitations. Summaries include quantitative results, references to relevant tables or pages, keywords, and a BibTeX citation for later reference.

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• Creating reading notes from a paper PDF
• Summarizing a directory of papers
• Reviewing key estimates and research methods

Carry a research task from brainstorming and planning through code implementation, review, and documentation. Multiple agents handle independent implementation tasks in parallel, then report the resulting files, changes, and findings.

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• Take a research task from initial ideas through implementation
• Split independent implementation tasks among multiple agents
• Run review and knowledge documentation after implementation

Set up a research project with separate folders for code, source data, cleaned datasets, results, and documents. Create a research rules file from a template, a project README, and an initial progress log.

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• Starting a new research project
• Standardizing folders across research projects
• Separating source data from cleaned datasets