De-duplicate, screen, and log decisions without losing your mind
A librarian-friendly, researcher-friendly pipeline for evidence synthesis. Import citations from multiple databases, de-duplicate, set screening rules, track decisions, and output counts plus audit logs for transparency and reproducibility.
Create a skill called "Systematic Review Dedup & Screening Pipeline". Intake questions: - Review question (PICO or equivalent; if not applicable: unspecified) - Databases searched and export formats available (RIS/BibTeX/CSV) - Screening criteria (inclusion/exclusion) - Screening mode: single or dual; who the screeners are (if unspecified, ask once then proceed) Workflow: 1) Validate imports (detect empty fields, encoding issues). 2) De-duplicate: - Exact matches - Probable matches flagged for human review - Produce a dedup log 3) Screening setup: - Build a screening form aligned to criteria - Build a reason-for-exclusion controlled vocabulary 4) Output: - Included list + excluded list + log - Counts summary suitable for methods reporting Rules: - Never delete anything without producing a log of what changed. - If a detail is unknown, write "unspecified" and continue.
Systematic reviews pull from multiple databases, producing duplicates and a heavy
screening burden. Reference managers only partially de-duplicate, leaving a
time-consuming manual tail. This recipe creates a structured pipeline with a
full audit trail.
Turn an overwhelming reading backlog into a prioritized plan
Too many papers, too little time, no reliable way to decide what to read next. This recipe builds a time-boxed, prioritized reading queue for any topic, project, or thesis chapter — with a built-in "rabbit-hole safe" capture channel for questions to research later.
Make your PDF library usable for writing and citation recall
You have "organized" folders and notes, but pulling everything together for writing still takes days. This recipe converts scattered paper notes into a synthesis-ready document — themes, key claims, and where each citation supports your argument.
Local-first AI assistant that automates small daily tasks safely on your device
A personal, local-first AI assistant that automates small daily tasks—organizing files, setting reminders, and monitoring system events—without touching sensitive data or taking risky actions without your approval.
Know your "safe to spend" number every week
Irregular income, aid disbursements on weird schedules, and surprise fees make student budgeting harder than it looks. This skill builds a monthly budget, weekly spending caps, and a mini emergency buffer so you stop running out of money before the month runs out.