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
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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) |