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Plan and manage systematic literature reviews with Parsifal platform
Passed 19 of 22 test cases with the skill, and 18 of 22 without it.
2 fixed17 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the four-stage order for processing search results during paper selection in a systematic literature review?
| Checked | Without skill | With skill |
|---|---|---|
| Duplicate removal occurs prior to title screening | Passed | Passed |
| Title screening precedes abstract screening | Missed | Passed |
| Abstract screening precedes full-text review | Passed | Passed |
The instructions your model reads when the skill loads.
Parsifal is a web-based tool for planning and managing systematic literature reviews (SLRs) following established protocols (Kitchenham, PRISMA). It guides researchers through the complete SLR process: defining research questions, setting inclusion/exclusion criteria, planning search strings, and tracking the screening process. Open-source and self-hostable.
Structure questions using PICO framework:
Example:
P: Software development teams
I: AI-assisted code review
C: Manual code review
O: Defect detection rate, review time
Research Questions:
RQ1: Does AI-assisted code review improve defect detection?
RQ2: What is the time savings compared to manual review?
RQ3: What types of defects are best detected by AI tools?
Inclusion Criteria:
IC1: Studies comparing AI vs manual code review
IC2: Published in peer-reviewed venues (2020-2026)
IC3: Reports quantitative metrics
Exclusion Criteria:
test cases passed, vs 18 / 22 without
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