nature-literature-pipeline

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.

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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

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

Repository: Yuan1z0825/nature-skills
Path: skills/nature-literature-pipeline/SKILL.md
Commit: 703c150

Last updated: 4 days ago
First committed: about 1 month ago

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