Which databases does it generate queries for?

It can generate concrete query strings for major technical and medical sources like arXiv, ACL Anthology, IEEE Xplore, ACM DL, and PubMed.

Does it support PRISMA standards?

Yes, the skill focuses on producing PRISMA-style protocols that ensure every rule is operational, testable, and auditable by other researchers.

What is the Protocol Writer skill used for?

It is designed to create executable systematic review protocols, defining research questions, search queries, and inclusion criteria to ensure high reproducibility.

How does it handle inclusion/exclusion criteria?

It avoids vague language like 'relevant' or 'high quality' and instead requires observable rules such as specific study types, domains, metrics, or evaluation protocols.

Does it execute the search automatically?

No, it generates the protocol and executable queries for you to run manually or via other scripts, and it requires a human approval gate before moving to the screening phase.

Protocol Writer (Systematic Review)

Name: Protocol Writer (Systematic Review)
Author: WILLOSCAR

byWILLOSCAR

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学習とドキュメンテーション

Generates executable, PRISMA-compliant systematic review protocols with operationalized search queries and screening criteria.

The Protocol Writer skill automates the creation of rigorous, reproducible systematic review protocols for researchers and developers. By assuming the roles of both a Methodologist and an Auditor, it translates research goals into testable inclusion/exclusion rules, precise database queries (e.g., PubMed, arXiv), and structured extraction schemas. This skill ensures that review pipelines are built on a solid foundation, preventing 'hollow writing' by requiring observable criteria and a mandatory human approval gate before moving to the screening phase.

主な機能

01Operationalized inclusion and exclusion criteria to eliminate ambiguity

0289 GitHub stars

03Source-specific executable search queries for major research databases

04PRISMA-style protocol generation for systematic literature reviews

05Built-in human-in-the-loop approval gates to ensure reproducibility

06Structured data extraction schemas with predefined units and values

ユースケース

01Initial phase of a systematic literature review (SLR) in academic or technical research

02Standardizing research methodology across team-based evidence synthesis projects

03Developing reproducible screening pipelines for large-scale data analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add willoscar/research-units-pipeline-skills protocol-writer

For use in Claude.ai and ChatGPT

Download Skill