/nature-literature-pipeline

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