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Literature Review

Checked
eyadsibai·vlatest·writing

Quickly synthesizes relevant academic literature on a topic, summarizing key findings and identifying research gaps.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add eyadsibai/ltk --skill literature-review -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

eyadsibai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned eyadsibai/ltk at f8e85697b9.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
f8e85697b9
Manifest
plugins/ltk-product/skills/literature-review/SKILL.md
Scanned
1 file, 152 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The literature-review skill enables AI agents to systematically search, analyze, and synthesize information from academic papers, books, and industry reports to generate comprehensive overviews of specific topics. It streamlines research by automating the collection of key findings, methodologies, and gaps identified in existing literature.

When to use it

  • Conducting a preliminary background check before starting a new research project or thesis.
  • Summarizing the current state of technology for a specific industry trend like generative AI or blockchain.
  • Identifying conflicting viewpoints or missing data points across multiple studies on a complex subject.
  • Preparing briefing materials that require citations from reputable sources rather than general web content.

Key capabilities

  • Aggregates data from diverse academic and professional databases.
  • Extracts core arguments, methodologies, and results from source texts.
  • Synthesizes disparate findings into a coherent narrative structure.
  • Highlights consensus areas and unresolved debates within the field.

Example prompts

  • "Perform a literature review on the latest advancements in quantum error correction published between 2023 and 2024."
  • "Analyze existing research on remote work productivity, focusing on studies that compare hybrid models to fully remote setups."
  • "Summarize the key methodologies used in recent clinical trials for Alzheimer's treatment and identify common limitations reported by authors."

Tips & gotchas

Ensure your query includes specific timeframes or publication types (e.g., "peer-reviewed only") to avoid overwhelming the agent with outdated or non-academic sources. For the best results, define a clear scope of topics to prevent the synthesis from becoming too broad or unfocused.