L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Données et recherche · SKILL.md

nature-literature-pipeline

nature-literature-pipeline

Build a repeatable literature discovery, scoring, reading, and archiving pipeline for RL, MARL, LLM, and LLM Agent research. Use for daily/weekly paper tracking, topic watchlists, benchmark monitoring, and research-note automation.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: nature-literature-pipeline description: Build a repeatable literature discovery, scoring, reading, and archiving pipeline for RL, MARL, LLM, and LLM Agent research. Use for daily/weekly paper tracking, topic watchlists, benchmark monitoring, and research-note automation. version: 2.0.0-agent-rl

Literature pipeline skill

Workflow

  1. Define scope: topic, venues, keywords, authors, benchmarks, arXiv categories.
  2. Define sources: arXiv, OpenReview, Papers with Code, venue proceedings, official benchmark repos.
  3. Score papers using six axes: relevance, novelty, evidence, benchmark match, reproducibility, idea value.
  4. Produce a triage table: read now, skim, archive, ignore.
  5. Generate one-page notes for high-priority papers.
  6. Maintain a local index with BibTeX, code links and relation to current projects.

Output format

Pipeline design:
Sources:
Search queries:
Scoring rubric:
Weekly triage table:
Archive structure:

Red lines

Do not present unverified paper metadata as final. Do not automate downloads from restricted sources.

Skills enregistrées