ReddRadar
Agent skill
literature-review
Install this agent skill to your Project
npx add-skill https://github.com/drshailesh88/integrated_content_OS/tree/main/skills/cardiology/literature-review
SKILL.md
Literature Review
Comprehensive, systematic literature reviews following rigorous academic methodology across biomedical and scientific domains.
Triggers
- User asks for a literature review on a topic
- User needs evidence synthesis across multiple studies
- User wants to understand the current state of research
- User is preparing background for a newsletter or editorial
- User needs to identify research gaps
Workflow Phases
1. Planning & Scoping
Define Research Question using PICO framework:
- Population: Who is being studied?
- Intervention: What treatment/exposure?
- Comparison: Against what?
- Outcome: What results matter?
Establish Scope:
- Date range (typically 5-10 years for currency)
- Study types to include (RCTs, observational, reviews)
- Inclusion/exclusion criteria
- Languages accepted
2. Systematic Search
Required Databases (minimum 3):
| Database | Best For |
|---|---|
| PubMed | Biomedical, clinical |
| Cochrane Library | Systematic reviews |
| EMBASE | Pharmacology, European |
| Google Scholar | Gray literature, coverage |
| bioRxiv/medRxiv | Preprints, cutting edge |
Search Strategy Elements:
- MeSH/controlled vocabulary terms
- Free-text synonyms
- Boolean operators
- Field restrictions as needed
3. Screening & Selection
- Deduplication - Remove duplicate records
- Title screening - Exclude obviously irrelevant
- Abstract review - Apply inclusion criteria
- Full-text evaluation - Final eligibility check
- Document exclusion reasons at each stage
4. Data Extraction
Extract from each included study:
- Citation information
- Study design and setting
- Sample size and characteristics
- Key findings and effect sizes
- Funding sources
- Limitations noted by authors
5. Quality Assessment
| Study Type | Assessment Tool |
|---|---|
| RCTs | Cochrane Risk of Bias (RoB 2) |
| Observational | Newcastle-Ottawa Scale |
| Systematic reviews | AMSTAR 2 |
| Diagnostic | QUADAS-2 |
6. Synthesis
Critical: Organize thematically, NOT study-by-study.
Bad: "Smith 2020 found X. Jones 2021 found Y. Brown 2022 found Z."
Good: "The relationship between SGLT2 inhibitors and heart failure outcomes has been consistently demonstrated across multiple trials (Smith 2020, Jones 2021, Brown 2022), with effect sizes ranging from..."
Identify:
- Areas of consensus
- Contradictory findings and potential explanations
- Research gaps
- Methodological trends
7. Citation Verification
Before finalizing:
- Validate all DOIs against CrossRef
- Verify author names and dates
- Confirm journal names
- Use citation-management skill for formatting
Output Formats
For Newsletter Background
- Concise synthesis (500-1000 words)
- Key statistics highlighted
- Top 5-10 most relevant citations
- Clear clinical implications
For Editorial Foundation
- Comprehensive synthesis (1500-2500 words)
- Organized by theme/controversy
- Evidence quality assessment
- Explicit gaps identification
For Academic Manuscript
- Full systematic review format
- PRISMA flow diagram
- Risk of bias tables
- Forest plots if meta-analysis
Best Practices
- Document everything - Search strategies, screening decisions, extraction forms
- Search multiple databases - Minimum 3 for comprehensive coverage
- Include preprints - For most current findings
- Assess study quality - Don't treat all evidence equally
- Synthesize thematically - Never list studies sequentially
- Acknowledge limitations - Search constraints, publication bias
- Verify every citation - Accuracy is non-negotiable
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
drshailesh88/integrated_content_OS
pufferlib
This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.
drshailesh88/integrated_content_OS
fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
drshailesh88/integrated_content_OS
metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
drshailesh88/integrated_content_OS
geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
drshailesh88/integrated_content_OS
zinc-database
Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
drshailesh88/integrated_content_OS
astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Didn't find tool you were looking for?