htlin222/lymphoma-TLS-outcome

ma-agent-teams

Orchestrate agent team for meta-analysis pipeline. Creates team, spawns teammates, manages task list and handoffs between pipeline stages.

원문 언어: 영어

ma-data-extraction

Define extraction schema, extract study data from full texts, and store it in a structured database for meta-analysis. Use when moving from full-text collection to statistical analysis.

원문 언어: 영어

ma-end-to-end

End-to-end AI-assisted meta-analysis pipeline orchestration from TOPIC.txt to final manuscript and reviewer responses. Use when the user provides a topic and wants the full meta-analysis workflow, tracking, and final paper.

원문 언어: 영어

ma-fulltext-management

Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction. Use when moving from screening to data extraction.

원문 언어: 영어

ma-manuscript-quarto

Draft and render a meta-analysis manuscript with Quarto using an IMRaD structure and embedded figures/tables. Use when preparing the final paper from analysis outputs.

원문 언어: 영어

ma-meta-analysis

Run statistical meta-analysis in R with renv, generate effect estimates, heterogeneity, and publication bias diagnostics, and export figures and tables. Use when analyzing extracted study data.

원문 언어: 영어

ma-screening-quality

Perform title and abstract screening, apply inclusion and exclusion criteria, and assess study quality or risk of bias. Use when selecting eligible studies for meta-analysis.

원문 언어: 영어

ma-search-bibliography

Conduct literature searches for meta-analysis using Python with uv, query PubMed and other databases, deduplicate results, and store round-based bibliographies with notes. Use when building or updating the evidence corpus.

원문 언어: 영어

ma-topic-intake

Intake a meta-analysis topic from TOPIC.txt, translate it into a PICO or PECO protocol, and define eligibility, outcomes, and search scope. Use when starting a new meta-analysis project or refining a research question.

원문 언어: 영어