Agent skill · research science · yuan1z0825
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.
Why this skill is useful
Adds a complete automated literature discovery pipeline with executable cron jobs and scoring systems that extend the AI's capabilities in research automation.
What it needs
Requires cron installed locally. About 3k tokens when loaded. Last updated 2026-08-07. 33,818 stars on the source repository.
What this skill does
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 Quick Start After installing, tell your agent: The agent will configure keywords, delivery target, and archive path automatically. Then set up a daily cron job: 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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills yuan1z0825/nature-literature-pipeline