Skills Plugins MCP Prompt Model 博客 我的中心
学习教育 #ai #agent

paperzilla

Chat with your agent about projects, recommendations, and canonical papers in Paperzilla. Use when users ask for recent project recommendations, canonical paper details, markdown-based summaries, recommendation feedback, feed export, or Atom feed URLs.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=k-dense-ai-scientific-agent-skills-skills-paperzilla-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name paperzilla description Chat with your agent about projects, recommendations, and canonical papers in Paperzilla. Use when users ask for recent project recommendations, canonical paper details, markdown-based summaries, recommendation feedback, feed export, or Atom feed URLs. license MIT metadata {"version":"1.0","skill-author":"Paperzilla Inc"} Paperzilla Use this skill when you want to chat with your agent about projects, recommendations, and canonical papers in Paperzilla. What you can ask "Give me the latest recommendations from project X." "Open recommendation Y and explain why it matters." "Fetch canonical paper Z as markdown and summarize it." "Tell me how this paper is relevant to my research." "Show me the feed for project X." "Leave feedback on a recommendation." "Export this paper, recommendation, or feed as JSON." This is the core Paperzilla skill. It gives your agent direct access to Paperzilla data, but it does not impose a workflow or external delivery integration. Access method Most current profiles in this repo use the pz CLI. If the current profile ships extra agent-specific instructions, follow those as well. Install macOS brew install paperzilla-ai/tap/pz Windows (Scoop) scoop bucket add paperzilla-ai https://github.com/paperzilla-ai/scoop-bucket scoop install pz Linux Use the official Linux install guide: https://docs.paperzilla.ai/guides/cli-getting-started Build from source (Go 1.23+) See the CLI repository for source builds: https://github.com/paperzilla-ai/pz Update Check whether your CLI is up to date and get install-specific upgrade steps: pz update If detection is ambiguous, override it explicitly: pz update --install-method homebrew pz update --install-method scoop pz update --install-method release pz update --install-method source Supported values are auto , homebrew , scoop , release , and source . Authentication pz login CLI reference If the current profile uses pz , these are the core commands. List projects pz project list Show one project pz project <project-id> Browse project feed pz feed <project-id> Useful flags: --must-read --since YYYY-MM-DD --limit N --json --atom Examples: pz feed <project-id> --must-read --since 2026-03-01 -- limit 5 pz feed <project-id> --json pz feed <project-id> --atom Feed output can include existing recommendation feedback markers: [↑] upvote [↓] downvote [★] star Read a canonical paper pz paper <paper-id> pz paper <paper-id> --json pz paper <paper-id> --markdown pz paper <paper-id> --project <project-id> Open a recommendation from one of your projects pz rec <project-paper-id> pz rec <project-paper-id> --json pz rec <project-paper-id> --markdown Leave recommendation feedback pz feedback <project-paper-id> upvote pz feedback <project-paper-id> star pz feedback <project-paper-id> downvote --reason not_relevant pz feedback clear <project-paper-id> Output and automation Prefer --json for machine parsing. pz paper --markdown only returns markdown when it is already prepared. pz rec --markdown can queue markdown generation and prints a friendly retry message while it is still being prepared. --atom returns a personal feed URL for feed readers. Configuration export PZ_API_URL= "https://paperzilla.ai" References Docs: https://docs.paperzilla.ai/guides/cli Quickstart: https://docs.paperzilla.ai/guides/cli-getting-started Repo: https://github.com/paperzilla-ai/pz
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。