Lit Review Assistant
CheckedQuickly synthesizes relevant research papers and extracts key findings for your literature review needs.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add meleantonio/awesome-econ-ai-stuff --skill lit-review-assistant -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
meleantonio
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.
Automated safety checks
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 meleantonio/awesome-econ-ai-stuff at dd890d51c7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- dd890d51c7
- Scanned
- 2 files, 454 lines
About this skill
The lit-review-assistant skill streamlines academic research by automatically searching for relevant literature and synthesizing findings into structured summaries. It helps researchers quickly identify key themes, methodologies, and gaps in existing studies within specific domains.
When to use it
- Conducting rapid background research before starting a new thesis or dissertation chapter.
- Generating an initial annotated bibliography for a systematic review project.
- Identifying conflicting conclusions across multiple papers on the same topic.
- Preparing concise literature overviews for grant proposals or conference submissions.
Key capabilities
- Automated discovery of relevant academic papers based on user-defined criteria.
- Synthesis of complex research findings into coherent narrative summaries.
- Extraction of key methodological approaches and data sources from source texts.
- Organization of scattered literature into thematic clusters for easier analysis.
Example prompts
- "Find the top 10 recent papers on machine learning applications in climate modeling and summarize their main contributions."
- "Analyze the methodologies used in studies regarding remote work productivity over the last five years."
- "Identify gaps in current research concerning the economic impact of AI regulation in the European Union."
Tips & gotchas
Ensure you provide clear, specific search parameters to avoid retrieving irrelevant or overly broad results. While the assistant excels at synthesis, always verify citations against original sources for critical academic work.