Nature Literature Pipeline
FreeAutomate daily literature discovery and delivery.
Free · Opens the source repo
What Nature Literature Pipeline does
The Nature Literature Pipeline is a robust automated system designed to streamline the process of literature discovery in research. It operates on a daily schedule, utilizing a configurable engine to search multiple sources, score potential papers, and deliver formatted digests directly to your chosen messaging platform. This pipeline is particularly useful for researchers and academics who need to stay updated with the latest literature in their field without the manual overhead of searching and filtering through countless papers.
At the core of the pipeline is a structured workflow that begins with a daily cron job, which triggers a search across platforms like arXiv, OpenAlex, and Semantic Scholar. The system identifies 30 candidate papers, which are then filtered down to the top 5 using a comprehensive six-dimension scoring system. This scoring evaluates factors such as topic relevance, methodology, journal quality, and applied value, ensuring that only the most pertinent literature is selected for further review.
Once the top papers are identified, the pipeline performs a fine reading of the abstracts or full texts, depending on user preferences. The results are formatted into a digest that includes key information such as rankings, scores, and concise summaries, which are then delivered to platforms like Feishu or Telegram. Additionally, the system archives the literature appropriately, maintaining a clean record for future reference while preventing duplicates through a triple de-duplication process.
This skill is ideal for researchers looking to automate their literature review process, particularly in fast-paced fields where staying current is crucial. The customizable nature of the pipeline allows users to tailor the scoring weights and delivery methods to fit their specific research needs, making it a versatile tool for anyone engaged in academic research.
When to use it
Use this skill when you want to automate daily literature searches and receive curated research updates in your preferred messaging platform.
When not to use it
This skill may not be suitable for one-off literature searches or for users who prefer to manually curate their literature reviews without automation.
What you can build with it
Daily Literature Updates
Set the pipeline to deliver daily updates on the latest research papers directly to your messaging platform, ensuring you never miss important publications.
Customized Research Scoring
Adjust the scoring weights for different dimensions to tailor the literature selection process according to your specific research requirements.
Automated Archiving
Automatically archive selected literature with a structured workflow, keeping your research organized and easily accessible.
How to install Nature Literature Pipeline
View source1. Install with the skills CLI
npx skills add yuan1z0825/nature-skills/nature-literature-pipeline --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by yuan1z0825Nature Literature Pipeline
A complete, production-tested automated literature pipeline. Not just "search for papers" — it's a structured engine that scores, classifies, reads, delivers, and archives research papers daily.
What It Does
Cron (daily trigger, e.g. 08:30)
│
├─ ① SEARCH (30 candidates)
│ arXiv / OpenAlex / Crossref / Semantic Scholar (auto-degradation)
│
├─ ② COARSE FILTER (30 → 5)
│ Six-dimension scoring: topic match × 35 + methodology × 20
│ + journal quality × 15 + network relevance × 10
│ + applied value × 10 + archival value × 10
│
├─ ③ FINE READ (top 5)
│ Abstract-level or full-text. Source level tagged:
│ Full-text / Abstract only / Metadata only
│
├─ ④ DELIVER
│ Formatted digest to Feishu/Telegram/etc.
│ 🏅 rank | title | journal | ⭐ score | 💡 one-liner
│ 🔬 methods | 📊 key results | 🧭 commentary
│
└─ ⑤ ARCHIVE
DOI/arXiv de-dup → classify → write notes → update index
Quick Start
After installing, tell your agent:
My research area is [X], keywords: [Y], deliver to [feishu group name], archive to [path]
The agent will configure keywords, delivery target, and archive path automatically.
Then set up a daily cron job:
Set up a daily literature push at 08:30 Beijing time, 30 candidates, top 5 delivered
Architecture
The skill is organized in two layers:
| Layer | Purpose | Files |
|---|---|---|
| Engine | Scoring, classification, note templates, gap analysis | references/scoring-system.md, references/gap-analysis.md, references/note-template.md |
| Application | Daily cron pipeline, delivery formatting, archival workflow | references/push-format.md, references/cron-setup.md, references/review-compilation-workflow.md |
Configuration
All domain-specific content is configurable:
- Keywords — your research keywords (English + Chinese)
- Scoring weights — adjust the six dimensions for your field
- Classification rules — define your own tier system (A-E or custom)
- Delivery target — Feishu group, Telegram channel, email, etc.
- Archive path — local vault/wiki directory
A config template is provided in templates/literature-push-template.md.
Built-in Safeguards
- Score validation: Each dimension capped, total recalculated — no 11/10 allowed
- Triple de-duplication: DOI / arXiv ID / OpenAlex ID
- Graceful degradation: Semantic Scholar down → auto-switch to OpenAlex + Crossref + arXiv
- Read-only archive: Daily pipeline writes to
raw/literature directory only; never modifies wiki/knowledge base without user approval
Related Skills
nature-academic-search— ad-hoc literature search (complementary; this skill adds structured daily automation)nature-citation— CNS citation export (for importing pipeline discoveries into manuscripts)zotero— library management (for long-term organization of pipeline outputs)arxiv— arXiv API (used as a search source)
References
| Reference | Purpose |
|---|---|
references/scoring-system.md | Six-dimension scoring rubric with weights, caps, and evaluation logic |
references/gap-analysis.md | Methodology for identifying research gaps through systematic literature survey |
references/note-template.md | Standardized literature note format with YAML frontmatter |
references/push-format.md | Daily digest message template with field guidelines and example |
references/cron-setup.md | Cron job creation, verification, and manual fallback procedures |
references/review-compilation-workflow.md | End-to-end workflow for concentrated literature review writing |
Pitfalls
- Keyword drift: Review keywords monthly — research directions evolve
- Score inflation: Subagents may inflate scores; always validate arithmetic
- Duplicate creep: Classic papers will reappear; maintain a dedup index
- Wiki safety: Pipeline writes to
raw/only; wiki integration is manual - Cron locality: Hermes cron is local, not cloud — machine must be running
Frequently asked questions about Nature Literature Pipeline
Similar skills
Build Evidence Map
Create auditable maps for technical decisions and research.
Systematic Literature Review
Automate your systematic literature reviews with ease.
Nature Reference Verifier
Cross-verify academic references efficiently.
Nature Paper Card
Create evidence-grounded research cards for scientific papers.
Paperclip CLI
Efficiently search and read biomedical literature and regulatory documents.
Paper Lookup
Efficiently search academic literature across multiple APIs.