Nature Literature Pipeline

作者 yuan1z0825d5c8baa15d6bMIT46K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

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.

AI 產生的概覽

自動化的每日文獻探索流程,完成檢索、評分、精讀、推送與歸檔。

功能
這個技能定義了一套由排程任務驅動的結構化文獻流程:從 arXiv、OpenAlex、Crossref 與 Semantic Scholar 檢索候選論文,以六維加權評分規則篩選,對排名前面的文獻進行精讀,並產生摘要推送到飛書、Telegram 等訊息平台。接著依 DOI 或 arXiv ID 去重、分類,並把標準化文獻筆記寫入歸檔目錄。這個技能只有說明文件,參考檔案涵蓋評分體系、研究缺口分析、筆記範本、推送格式、排程設定與綜述撰寫流程。
適用情境
適合需要對特定研究領域進行長期、自動化文獻監測,而非一次性檢索的情境。適合希望每天收到新論文排序摘要並持續累積去重筆記庫的研究人員,也適合集中撰寫文獻綜述的工作。
執行需求
這個技能沒有附帶指令碼,只有說明與參考文件。需要智慧代理能在持續運作的機器上執行排程任務,需要存取文獻 API(arXiv、OpenAlex、Crossref、Semantic Scholar)的網路權限,以及飛書群組或 Telegram 頻道等推送目標。關鍵詞、評分權重、分類規則、推送目標與歸檔路徑都需要設定。

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:

LayerPurposeFiles
EngineScoring, classification, note templates, gap analysisreferences/scoring-system.md, references/gap-analysis.md, references/note-template.md
ApplicationDaily cron pipeline, delivery formatting, archival workflowreferences/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

ReferencePurpose
references/scoring-system.mdSix-dimension scoring rubric with weights, caps, and evaluation logic
references/gap-analysis.mdMethodology for identifying research gaps through systematic literature survey
references/note-template.mdStandardized literature note format with YAML frontmatter
references/push-format.mdDaily digest message template with field guidelines and example
references/cron-setup.mdCron job creation, verification, and manual fallback procedures
references/review-compilation-workflow.mdEnd-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

來源與署名

來源:yuan1z0825/nature-skills位於skills/nature-literature-pipeline提交d5c8baa

授權條款: MIT

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