systematic-review

Conduct comprehensive literature searches, quality assessments, evidence synthesis, and meta-analyses

509 stars

Best use case

systematic-review is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Conduct comprehensive literature searches, quality assessments, evidence synthesis, and meta-analyses

Teams using systematic-review should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/systematic-review/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/social-sciences-humanities/social-sciences/skills/systematic-review/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/systematic-review/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How systematic-review Compares

Feature / Agentsystematic-reviewStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Conduct comprehensive literature searches, quality assessments, evidence synthesis, and meta-analyses

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Systematic Review Skill

Conduct comprehensive literature searches, quality assessments, and evidence synthesis including meta-analysis.

## Overview

The Systematic Review skill enables conducting comprehensive literature searches, quality assessments, evidence synthesis, and meta-analyses following established protocols for rigorous evidence-based research and policy making.

## Capabilities

### Search Strategy
- Database selection
- Search term development
- Boolean operators
- Citation tracking
- Grey literature inclusion

### Study Selection
- Inclusion/exclusion criteria
- Screening procedures
- Dual review process
- Disagreement resolution
- PRISMA documentation

### Quality Assessment
- Risk of bias tools
- Quality checklists
- Evidence grading
- Study appraisal
- Bias identification

### Evidence Synthesis
- Narrative synthesis
- Vote counting
- Framework synthesis
- Thematic synthesis
- Realist synthesis

### Meta-Analysis
- Effect size calculation
- Heterogeneity assessment
- Fixed/random effects
- Publication bias
- Sensitivity analysis

## Usage Guidelines

### When to Use
- Synthesizing evidence
- Informing policy
- Identifying research gaps
- Establishing consensus
- Supporting decisions

### Best Practices
- Register protocol
- Document thoroughly
- Use multiple reviewers
- Assess bias
- Update regularly

### Integration Points
- Quantitative Methods skill
- Qualitative Analysis skill
- Policy Communication skill
- Academic Writing and Publication skill

## References

- Literature Review and Synthesis process
- Policy Impact Assessment process
- Policy Research Analyst agent
- Mixed Methods Research Coordinator agent

Related Skills

quality-assurance-review

509
from a5c-ai/babysitter

Conduct systematic quality reviews of instructional materials using established rubrics (Quality Matters) and design standards

peer-review-simulator

509
from a5c-ai/babysitter

Skill for simulating peer review feedback on manuscripts

dfm-review

509
from a5c-ai/babysitter

Skill for design for manufacturing review and optimization

design-review

509
from a5c-ai/babysitter

Skill for formal design review preparation and execution (PDR/CDR)

design-review-facilitator

509
from a5c-ai/babysitter

Design review planning and execution skill for structured design phase gate reviews per 21 CFR 820.30

clinical-literature-reviewer

509
from a5c-ai/babysitter

Systematic literature review skill for clinical evaluation supporting regulatory submissions

performance-review

509
from a5c-ai/babysitter

Generate performance review documentation and facilitate evaluation processes

requesting-code-review

509
from a5c-ai/babysitter

Use when completing tasks, implementing major features, or before merging to verify work meets requirements.

receiving-code-review

509
from a5c-ai/babysitter

Use when receiving code review feedback, before implementing suggestions. Requires technical rigor and verification, not blind implementation.

systematic-debugging

509
from a5c-ai/babysitter

Structured debugging methodology using hypothesis-driven investigation, log analysis, and bisection to isolate and resolve defects.

security-review

509
from a5c-ai/babysitter

Security vulnerability assessment identifying OWASP risks, injection vectors, authentication issues, and data exposure with severity classification.

plan-review-gate

509
from a5c-ai/babysitter

Adversarial plan review by 3 independent reviewers (Feasibility, Completeness, Scope & Alignment) before presenting to user.