
from alterlab-academic-skills18
A 13-agent, PRISMA-capable research pipeline that runs scoping, systematic literature search, verification, synthesis, meta-analysis, and APA‑style reporting fo
AlterLab Deep Research is a comprehensive academic-research orchestration skill: it converts a research brief into a protocol, performs systematic literature searches, verifies sources, synthesizes evidence, assesses risk-of-bias, and compiles APA 7.0 or PRISMA-compliant reports. The skill includes a 13-agent team (research question formulation, bibliography, verification, synthesis, meta-analysis, editorial review, ethics, devil's advocate, monitoring, and more) to produce reproducible research outputs and monitoring configs.
Use when conducting rigorous academic work: systematic reviews, meta-analyses, literature reviews, policy analysis, or guided Socratic research where the user needs methodology design, curated bibliographies, evidence grading, or a full APA/PRISMA report. Also appropriate for quick briefs and fact-checking modes when a lighter pass is required.
Best paired with advanced multi-agent orchestrators and Claude/Gemma-style assistants that support tool chaining, long-form synthesis, and structured template rendering.
A comprehensive 13-agent academic research pipeline skill with 7 operational modes including PRISMA-compliant systematic review. No scripts to execute — purely instructional. Exceptionally well-documented with clear trigger conditions, failure paths, cross-agent quality alignment, and bilingual support (English/Chinese). The SKILL.md is thorough and production-quality, though the skill relies heavily on referenced sub-files (agents/, references/, templates/) that weren't available for review.
Impressive skill scope and documentation quality. Pure prompt-engineering skill with no executable scripts, which limits security concerns. The 2-point security deduction is for Bash being in allowed-tools without clear justification. Architecture is strong with good file organization and progressive disclosure. Usefulness is high for academic/research audience but niche outside that domain.
ClinVar Database (AlterLab)
Search and interpret NCBI ClinVar variant data, access via E-utilities or FTP, annotate VCFs, and incorporate review-status and evidence best practices for geno
AlterLab PyMC — Bayesian Modeling
Bayesian modeling workflow using PyMC (v5+): build hierarchical models, run MCMC (NUTS) or variational inference, diagnose sampling, and compare models with LOO