Turn papers stored in Zotero into detailed Obsidian reading notes, linking claims, methods, evidence, and limitations to a project. Synthesize findings across papers, track note coverage for entire collections, and build a visual literature map.
Co-write proposals, technical specifications, and decision documents through context gathering, section-by-section drafting, and revision. A fresh AI reader then tests the document to reveal unclear explanations, missing context, and contradictions before it is shared.
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.
Create and edit .canvas files for visual planning in tools such as Obsidian. Arrange text, files, and links into mind maps or flowcharts, connect related items, and check that the file structure remains valid.
Prepare conference LaTeX template archives for writing in Overleaf. The skill identifies the main file and dependencies, proposes cleanup for approval, and organizes sections, resources, and a README with submission and compilation guidance.
Combine interview themes and numerical findings into comparison tables and integrated conclusions. The skill helps select an integration approach, explain agreements and contradictions, and assess whether conclusions are supported by both kinds of evidence.
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.
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.
Create and configure Claude Code agents using Markdown files with YAML configuration headers. Define when each agent should run, write its responsibilities and workflow, choose models and tools, and check configuration and triggering behavior.
Add datasets, models, and other components to machine learning projects using consistent registration and creation patterns. The skill guides file placement, configuration, and automatic module loading so new components fit the project's established architecture.
Prepare research papers for RAG, a method that supplies retrieved documents to AI. Download PDFs, extract and split text, and build a local searchable database, with parallel processing for document batches.
Coordinate research from question development through literature searches, analysis, and publication with specialized agents. Supports quantitative, qualitative, and mixed methods studies, plus systematic reviews, with human approval at key decisions about research direction and methods.
Build Claude Code plugin hooks: automated checks triggered by tool use or session events. Get guidance on prompt and command hooks for validating actions, checking task completion, loading context, and testing configurations.
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.
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.
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.
Plan literature searches for six review types, from systematic to rapid reviews. Develop database-specific search queries, selection criteria, citation tracking, and search records, while comparing approaches for coverage, reproducibility, and available time.
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.
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.
Refine AI-assisted academic drafts into natural scholarly prose while preserving citations, statistics, and methodological details. Choose how extensively to revise and which sections to edit, then review a report comparing the original and revised text.
Choose quantitative or qualitative methods that fit a research question and dataset. Compare alternatives, check assumptions, generate analysis code, interpret results, and examine sensitivity, meaning how conclusions change under different analytical choices.
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.
Learn from top Kaggle solutions across text, images, time series, tabular data, and multimodal tasks that combine data types. Explore technical analyses, model settings, reusable code templates, and practical lessons to inform machine learning projects.
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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