literature-review▌
collaborative-deep-research/agent-papers-cli · updated Apr 8, 2026
Conduct a systematic literature review on "$ARGUMENTS" using the paper and paper-search CLI tools.
Conduct a systematic literature review on "$ARGUMENTS" using the paper and paper-search CLI tools.
1. Define Scope
Before searching, clarify with the user:
- Topic boundaries and key terms
- Year range (default: last 5 years)
- Target venues or communities (if any)
- Desired number of papers (default: 15-20 core papers)
2. Multi-Query Search
Search with multiple query variations to maximize coverage:
paper-search semanticscholar papers "<main query>" --limit 20 --year <range>
paper-search semanticscholar papers "<synonym query>" --limit 20 --year <range>
paper-search semanticscholar papers "<related query>" --limit 20 --year <range>
paper-search google scholar "<topic>"
Deduplicate results by title/paper ID.
3. Triage
For each unique paper found:
paper-search semanticscholar details <paper_id>
paper skim <arxiv_id> --lines 2
Categorize as: highly relevant / somewhat relevant / not relevant.
4. Deep Analysis
For highly relevant papers:
paper outline <arxiv_id>
paper read <arxiv_id> introduction
paper read <arxiv_id> method
paper read <arxiv_id> results
paper read <arxiv_id> conclusion
Take structured notes on each paper: problem, method, key results, limitations.
5. Citation Graph Exploration
For seminal papers, find related work:
paper-search semanticscholar citations <paper_id> --limit 20
paper-search semanticscholar references <paper_id> --limit 20
Add any important papers discovered this way back to the triage step.
6. Produce Report
Organize findings by theme, not by paper. Include:
- Overview of the field and its evolution
- Key methods and approaches (with comparisons)
- Main results and findings
- Open questions and future directions
- Complete reference list with paper IDs and URLs
- BibTeX entries for all cited papers (use
paper bibtex <arxiv_id>to generate)
Guidelines
- Aim for breadth first: cover all major approaches before going deep on any one.
- Note citation counts and venues to gauge paper impact.
- Flag contradictory findings explicitly.
- Distinguish between empirical results and theoretical claims.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★62 reviews- ★★★★★Sakura Bhatia· Dec 12, 2024
Useful defaults in literature-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ganesh Mohane· Dec 8, 2024
We added literature-review from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ama Srinivasan· Dec 8, 2024
Keeps context tight: literature-review is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Benjamin Gonzalez· Dec 8, 2024
literature-review is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Shikha Mishra· Dec 4, 2024
I recommend literature-review for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ama Brown· Dec 4, 2024
Solid pick for teams standardizing on skills: literature-review is focused, and the summary matches what you get after install.
- ★★★★★Ama Bansal· Nov 27, 2024
literature-review is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Isabella Bhatia· Nov 27, 2024
Keeps context tight: literature-review is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Yash Thakker· Nov 23, 2024
Useful defaults in literature-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sophia Zhang· Nov 23, 2024
We added literature-review from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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