search-log-template

Document literature search records, screening decisions, and audit trails.

34|7|Updated Nov 29, 2025
One-click install
npx skills add https://github.com/jkitchin/skillz --skill search-log-template
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: search-log-template
Source: https://github.com/jkitchin/skillz/tree/main/skills/research/literature-review/assets/templates/search-log.md
Command: npx skills add https://github.com/jkitchin/skillz --skill search-log-template

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

A reusable template to document searches, results, screening decisions, and notes for literature reviews.

Core Features & Use Cases

  • Search Records: capture database, date, query, results, retained.
  • Decision Rationale: track inclusion/exclusion and pass rates.
  • Audit Trail: supports reproducibility and PRISMA-like reporting.

Quick Start

Create a new search log entry with database, query, and initial results.

Frequently Asked Questions about search-log-template

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I document a systematic literature review search across multiple databases?

A structured search log captures database name, query terms, search date, result count, and screening decisions in one audit trail. This template automates recording these details to ensure your literature review is reproducible and meets PRISMA reporting standards.

What should I track in a search log to make my literature review reproducible?

Record the database used, exact search query, number of results retrieved, inclusion/exclusion criteria applied, and how many studies passed screening. This creates an auditable trail that demonstrates your review methodology and supports transparency in academic writing and grant proposals.

Can I use a search log template to track screening decisions across multiple databases?

Yes. The template captures search records, screening rationale for included and excluded studies, and pass rates for each database query. This tracks your decision logic and retention counts across all sources in a single reproducible document.

Why do literature reviews need a documented search log?

A search log provides the audit trail reviewers and readers expect in systematic reviews. It demonstrates which databases you searched, what queries you ran, how many results you found, and why you included or excluded studies—essential for PRISMA compliance and research integrity.

What information must a search log include for PRISMA compliance?

PRISMA requires documenting database name, search strategy with query terms, date searched, number of results, and screening outcomes. A structured log template captures all these elements systematically so your literature review meets reporting guidelines for narrative, systematic, scoping, or meta-analytic reviews.

How does a search log support bias detection in literature reviews?

By recording search strategies, result counts, and screening decisions consistently across databases, a search log reveals patterns in what was retrieved and why studies were retained or excluded. This transparency helps identify selection bias and ensures your review methodology is defensible.