Alternatives to literature-review
50 AI Skills apps to use instead, best rated first.
Top picks
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webapp-testing
LaunchNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
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content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
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openhue
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batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
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implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
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frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
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brainstorming
Transform rough ideas into fully-formed designs through structured questioning

finishing-a-development-branch
Guides completion of development work by presenting clear options

test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About literature-review

literature-review
Conducts systematic, scoping, and narrative literature reviews
literature-review is an agent skill for conducting systematic, scoping and narrative literature reviews. It searches discipline-appropriate bibliographic databases such as PubMed, arXiv, bioRxiv and Semantic Scholar, and uses a web search tool for scoping and supplementary discovery. It synthesises the findings by theme, checks citations for accuracy, and produces documents in markdown and PDF. Use it for a systematic review for research or publication, for synthesising what is known about a topic, for a meta-analysis or scoping review, for the literature section of a paper or thesis, for finding the state of the art and research gaps, or when verified citations and professional formatting are needed. The skill is careful about what it can establish. Ranked web results and extracted excerpts cannot establish exhaustive coverage or replace full-text assessment, and the bundled scripts process normalised records, check DOI registration and render documents. They do not run a complete systematic review automatically. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 2,200 installs.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/literature-review
