Agent skill · Code Review & Quality

systematic-literature-review

Systematic literature review across multiple arXiv papers.

HezaoHezaogithub.com/HezaoHezaoGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add HezaoHezao/poirot --skill systematic-literature-review --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Declared author: Adapted from deer-flow (Bytedance, MIT)
Allowed tools: -bash-web_search-browse_page-write_file-present_files
Path: poirot/backend/agents/skill/builtin_skills/research/systematic-literature-review/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 139
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Systematic Literature Review ## Overview Produces a structured **systematic literature review (SLR)** across multiple academic papers on a research topic. Given a topic query, searches arXiv, extracts structured metadata from each paper, synthesizes themes, and emits a final report with consistent citations. **Distinct from `academic-paper-review`:** that skill does deep peer review of a single paper. This skill does breadth-first synthesis across many papers. > **Poirot note:** The original deer-flow skill uses a bundled > `scripts/arxiv_search.py` + subagent `task` tool for parallel extraction. > Poirot has neither, so this version uses `bash` with `curl` to the arXiv API > directly + sequential single-agent extraction. ## When to Use - A literature survey on a topic ("survey transformer attention variants") - A synthesis across multiple papers ("what do recent papers say about X") - A systematic review with consistent citation format - An annotated bibliography on a topic - An overview of research trends in a field over a time window **Do not use when:** - User provides exactly one paper (use `academic-paper-review`) - User asks a factual question (answer directly) ## Workflow

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Workflow
  4. Phase 1: Plan
  5. Phase 2: Search arXiv
  6. Phase 3: Extract metadata (sequential)
  7. Phase 4: Synthesize and format
  8. Phase 5: Save and present
  9. Report Structure
  10. Pitfalls
Commands it runs
Search arXiv (use 2-3 core keywords, not the full topic)
curl -s "https://export.arxiv.org/api/query?search_query=all:transformer+attention&max_results=20&sortBy=relevance" | python3 -c "
import sys, xml.etree.ElementTree as ET, json
ns = {'a': 'http://www.w3.org/2005/Atom'}
root = ET.fromstring(sys.stdin.read())
papers = []
for entry in root.findall('a:entry', ns):
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About this skill
What does the systematic-literature-review skill do?

Systematic literature review across multiple arXiv papers.

How do I install it?

Run `npx skills add HezaoHezao/poirot --skill systematic-literature-review --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From HezaoHezao/poirot, a repository with 139 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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