Research, academic papers, education, and exam prep (4.5K skills)
Create a funnel plot from meta-analysis data in a CSV file and assess possible publication bias with Egger’s regression and Begg’s rank correlation tests. The workflow checks required columns and study count, then produces a plot and test results.
Draft inclusion and exclusion criteria for a systematic review or meta-analysis from a title or keywords. The skill organizes eligibility around PICO—population, intervention, comparator, and outcomes—plus study design, and checks that exclusion rules do not contradict the inclusion criteria.
Run leave-one-out sensitivity analysis for a meta-analysis from a CSV file. Recalculate the pooled effect after removing each study in turn, then produce a forest plot and a data table to help assess how individual studies affect the overall result.
Create a Baujat plot from meta-analysis data to show how individual studies contribute to the pooled result and statistical heterogeneity. The skill exports a PNG plot and a CSV of study contributions, helping locate studies for further review.
Assess bias and applicability in clinical diagnostic accuracy studies with QUADAS-2. Review patient selection, the index test, reference standard, and study flow, supporting each judgment with a paper quotation and marking missing information as unclear.
Turn a CSV of study-level ROB2 assessments into two PNG figures: a Traffic Light Plot showing each study across assessment domains, and a Summary Bar Plot showing the risk distribution by domain. The input must contain the documented study and rating columns.
Assess whether a proposed topic may support a new meta-analysis by searching PubMed for clinical trials and existing meta-analyses. The workflow compares available studies with prior reviews to identify whether newer evidence may make an update viable.
Create a meta-analysis forest plot for binary outcomes using a CSV of study names, event counts, and group sample sizes. The skill outputs a PNG plot and CSV table, with a combined effect estimate and heterogeneity information when the analysis succeeds.
Assess the quality and potential bias of a case-control medical study using the Newcastle-Ottawa Scale (NOS). Review selection, comparability, and exposure criteria, explain judgments with evidence from the paper, and organize the results into a structured summary table.
Create a forest plot for a survival-data meta-analysis from a CSV of study names, hazard ratios, and 95% confidence intervals. The workflow supports R and Python scripts and produces a PNG plot and a CSV data table, with pooled estimates and heterogeneity statistics when available.
Combine results from multiple studies by calculating pooled effect sizes, such as odds ratios or mean differences. Assess variation between studies and possible publication bias, then produce forest and funnel plots to help summarize and inspect the evidence.
Screen a paper’s full text against inclusion and exclusion criteria for a meta-analysis, then return a structured Include or Exclude decision with a standard reason. If a PMID is supplied, PubMed title and abstract metadata can also be checked.
Screen papers by comparing their titles and abstracts with your inclusion and exclusion criteria. Get a consistent Yes, No, or Maybe decision with a reason, ready to review when filtering studies for a systematic review or meta-analysis.
Extracts population, intervention or exposure, comparator, outcomes, and study design (PI(E)COS) from a clinical study or meta-analysis title, then returns the fields in a consistent JSON structure.
Prepares applicants for residency Match interviews with behavioral, clinical, ethical, and program-specific questions. It can suggest a STAR-style response structure, key points, and common pitfalls, with questions tailored to a specialty and the applicant’s experience when provided.
Generate USMLE Step 1 or Step 2 CK-style clinical cases for study and exam practice. Cases can include patient history, examination findings, tests, a single-best-answer question, answer choices, explanations, and learning objectives in text, JSON, or Markdown.
Plan and carry out a systematic review using PRISMA 2020, a reporting guideline for evidence reviews. Organize database searches, study screening, data extraction, quality assessment, meta-analysis, and final review reporting.
Checks Mendelian randomization results for horizontal pleiotropy, where genetic instruments affect outcomes through other pathways. It applies MR-PRESSO, MR-Egger, and Steiger filtering to examine outliers, directional bias, and causal direction, then supports sensitivity analysis and reporting.
Create an academic review of a molecule’s role in a specified disease using PubMed literature. The workflow translates the disease and molecule names into English, searches iteratively, and formats citations in Vancouver style, with sequential numbering matched to the reference list.
Drafts clear, patient-friendly clinical trial recruitment ads from study details. It organizes eligibility, procedures, risks, rights, and contact information while avoiding guaranteed benefits, pressure tactics, and misleading claims.
Parse protein structure files in PDB or mmCIF format with Bio.PDB, inspect chains and residues, calculate geometric measurements, find nearby atoms or residues, and extract or superimpose structures for comparison.
Extract ten baseline characteristics from a clinical trial article. Given a PMID, the workflow checks PubMed for basic metadata; when that is incomplete or unavailable, it uses the supplied full text to produce structured JSON and marks unreported fields as null or empty.
Turn a scientific hypothesis into a Chinese application for the NSFC General Program, using its 2026 template. The workflow searches PubMed for real references, drafts the specified sections, and exports the result as Markdown and Word documents.
Read and write phylogenetic trees with Bio.Phylo, convert common tree formats, prune taxa, reroot by an outgroup, calculate distances and basic statistics, and create terminal or Matplotlib visualizations for analysis and figures.