nature-literature-pipeline — Claude Code skill: install and usage
Automates academic literature discovery, six-dimension paper scoring, and digest delivery to chat apps. Useful for running daily research scans via cron.
npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a claude-codeWhat nature-literature-pipeline does
The skill runs a five-stage research pipeline. It retrieves up to 30 candidates across arXiv, OpenAlex, Crossref, and Semantic Scholar. The engine then filters them down to five papers using six scoring dimensions, including topic relevance and methodology. It inspects abstracts or full texts, prepares a summary, and logs entries.
Internally, the skill separates the engine from the application layer. The engine includes scoring rules in references/scoring-system.md, note templates, and gap analysis logic. The application layer handles delivery formatting for Telegram or Feishu, including key findings and methodology summaries.
Scheduled execution runs locally via Hermes cron, meaning your machine must stay powered on for scheduled jobs. The pipeline writes new notes strictly to the raw/ directory, preventing unapproved edits to your wiki files.
What it helps with
- schedule daily academic literature searches across multiple databases
- rank research papers using six-dimension scoring weights
- send formatted paper digests to Telegram or Feishu
- archive paper notes without duplicate entries using DOI and arXiv IDs
Example prompts for the agent
- My research area is machine learning, keywords: diffusion models, deliver to Telegram channel, archive to ./raw
- Set up a daily literature push at 08:30 Beijing time, 30 candidates, top 5 delivered
How to install nature-literature-pipeline
1Skills CLI (Vercel)
npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a claude-code2Manually: put the files in place
~/.claude/skills/nature-literature-pipeline/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/nature-literature-pipeline/
1Skills CLI (Vercel)
npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a codex2Manually: put the files in place
.agents/skills/nature-literature-pipeline/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a cursor2Manually: put the files in place
.cursor/skills/nature-literature-pipeline/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install Yuan1z0825/nature-skills nature-literature-pipeline2Manually: put the files in place
.github/skills/nature-literature-pipeline/SKILL.md1Skills CLI (Vercel)
npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a gemini-cli2Platform CLI
gemini skills install https://github.com/Yuan1z0825/nature-skills --path skills/nature-literature-pipelineManually: put the files in place
.devin/skills/nature-literature-pipeline/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set17
The whole set →Similar
Questions about nature-literature-pipeline
How do I install nature-literature-pipeline in Claude Code?
Run npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a claude-code in your terminal.
What does nature-literature-pipeline do?
It searches academic sources including arXiv and OpenAlex, evaluates papers against six scoring criteria, sends digests to chat channels, and archives notes locally.
What happens if Semantic Scholar is down?
The pipeline applies graceful degradation, automatically routing queries to OpenAlex, Crossref, and arXiv when Semantic Scholar fails.
Source text
SKILL.md · MIT
---
name: nature-literature-pipeline
description: |
Complete automated literature discovery pipeline: multi-source search → six-dimension scoring → fine reading → formatted delivery → archival.
Combines a configurable engine with daily cron-driven application layer. Works with Feishu, Telegram, or any messaging platform.
license: MIT
metadata:
author: Jiahao8595
hermes:
tags: [research, literature, pipeline, cron, automation, discovery]
related_skills: [nature-academic-search, nature-citation, arxiv, zotero]
---
# Nature 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
1. **Keyword drift**: Review keywords monthly — research directions evolve
2. **Score inflation**: Subagents may inflate scores; always validate arithmetic
3. **Duplicate creep**: Classic papers will reappear; maintain a dedup index
4. **Wiki safety**: Pipeline writes to `raw/` only; wiki integration is manual
5. **Cron locality**: Hermes cron is local, not cloud — machine must be running
© Jiahao8595 · MIT · Yuan1z0825/nature-skills