NEP Paper Intelligence Officer
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About this skill
Problem
When tracking NEP paper lists, the pain is not finding sources but handling multiple domain pages, judging keyword relevance, producing Chinese summaries, and saving full texts. Manual copying is easy to miss items and spends time on formatting.
How It Works
nep-watcher splits the workflow into scheduled fetching, filtering and ranking, summary translation, and Feishu delivery. It supports NEP areas such as public economics, accounting, and labor economics, plus custom URLs. It filters by keywords, ranks by match score and recency, translates titles and abstracts via MyMemory API, and sends Feishu cards through lark-cli. After delivery, use download 1, download 1,3,5, or skip to archive locally or ignore the batch. config.json controls sources, push count, keywords, and scoring preferences; scheduling relies on OpenClaw cron, with Python 3.9+, requests, and beautifulsoup4 as runtime dependencies.
Boundaries
It fits daily monitoring and light filtering of fixed paper sources. It does not perform full-text extraction, citation network analysis, or complete reference management. Site markup changes, translation quality, MyMemory rate limits, and Feishu permissions can affect output. Strong keyword filtering may miss peripheral but relevant papers.
Use Cases
- Fetch new NEP public economics papers daily, rank them by keyword score, and push the results as Feishu cards with titles and abstracts.
- Filter papers that contain selected keywords before generating Chinese summaries, reducing unrelated items in the daily digest for review.
- After receiving a Feishu card, archive chosen papers locally with download commands such as downloading paper 1 or papers 1, 3, and 5.
- Configure NEP accounting, labor economics, and custom sources with push count and scoring preferences in config.json for a weekly literature watch.
Best For
- Graduate students tracking public economics papers who need daily NEP lists turned into readable summaries.
- Research assistants maintaining literature reviews who need keyword filtering and local archiving of selected papers.
- Feishu-based team leads who want daily paper cards delivered directly to project group chats.
- Data analysis engineers maintaining multi-source paper lists who need custom URLs and scoring preferences.
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