alonegg

Paperdaily Skills — Data skill for Claude Code

Data community

Claude Code skills & agent protocol for paperdaily — daily-paper KG platform.

How to install Paperdaily Skills

This entry records only its repository, not the path inside it, so there is no exact command to give. Open alonegg/paperdaily-skills and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Paperdaily Skills does

Claude Code skills & agent protocol for paperdaily — daily-paper KG platform. Thin query CLI + deep-research pipeline (retrieve → OA full-text → agent deep-read → optional upload back to your workbench).

Alternatives in Data

  • Private GPT — Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more 57.5k ★
  • Azure Document Intelligence .net — Document text, table, and data extraction 1.8k ★
  • Claude Deep Research Skill — Enterprise-grade deep research skill for Claude Code with 8-phase pipeline, source credibility scoring, and au 1k ★

README

paperdaily-skills

[paperdaily](https://www.paperdaily.org) 是一个"重后端、轻前端"的每日论文系统:把论文流入知识图谱,按你的兴趣画像做每日 4 层推荐,并提供可编程的 v1 API。本仓库是它的公开 Claude Code skills 与 agent 协议文档。

**English.** This repository ships the public Claude Code skills and agent-protocol docs for [paperdaily](https://www.paperdaily.org), a daily research-paper recommendation platform with a knowledge-graph backend and a bearer-key v1 API. Two skills are included: `paperdaily` (thin query CLI: field digests, author lookups, semantic search over fuzzy research directions or seed papers, and watchlist management — queries are read-only, watchlist create/delete/run are writes and always ask you first) and `paperdaily-deep-research` (a three-stage pipeline that goes from a research field or a single seed paper to a citation-grounded literature review — platform retrieval, local open-access full-text fetching, and agent-team deep reading/synthesis, with optional upload of your own analysis back to the paperdaily workbench). All full-text fetching is OA-first, institutional access is strictly opt-in, downloaded PDFs never leave your machine, and nothing here touches Sci-Hub.

Skills 清单

目录 用途
`paperdaily/` thin 查询 skill:领域/学科/话题日报、作者近作、语义检索(模糊研究方向 / 给定论文找相似)、watchlist 周追踪。查询只读;watchlist 的 create/delete/run 是写操作,调用前必征得你同意(需 write:profile,按需索取)。
`paperdaily-deep-research/` 深度调研 skill:从「一个领域 / 一篇种子论文」到「可溯源的深度文献综述」——平台检索推荐 → 本地 OA 全文瀑布下载 → agent team 逐篇精读 + 跨篇综合;可选把你自己的分析产物回传 paperdaily 工作台。
`mcp/` MCP 服务(非 skill):paperdaily-mcp stdio 服务器,把 v1 API 的 24 个端点暴露为标准 MCP 工具,任何兼容 MCP 的助手(Claude Desktop / Claude Code / Cursor …)都能直接接入。安装与配置见 `mcp/README.md`

配套文档:

文件 内容
`AGENT_PROTOCOL.md` agent ↔ paperdaily 服务端的对外契约(scopes、分层检索、回传、任务收件箱、行为规范、合规红线)。
`SKILL_SPEC.md` Skill 编写十条规范(声明件、phase-gate、provenance、同意点、诚实账本……)与兼容矩阵。
[`docs/quickst