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github-prior-art-researchGitHub prior ART 研究

Agent Skill

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

总安装

15,830

周安装

749

GitHub Stars

7

下载量

6,948
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:github-prior-art-research(GitHub prior ART 研究)
来源仓库:https://github.com/trevors/dot-claude
仓库路径:skills/github-prior-art-research
安装命令:
npx skills add https://github.com/trevors/dot-claude --skill 'GitHub Prior Art Research'
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/trevors/dot-claude --skill 'GitHub Prior Art Research'

简介

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。

  • 适合查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库信息转为可执行下一步。
  • 使用时需区分只读查询与写入操作,涉及创建 PR、修改 Issue 等需确认 token 权限和授权范围。
  • 安装方式:通过 npx skills add 命令从指定 GitHub 仓库安装。
  • 涉及私有仓库或敏感操作时,应确保用户已配置正确的访问令牌和仓库权限。

SKILL.md

GitHub Prior Art Research

Purpose

This skill activates when you ask questions about implementation approaches or tool selection. It guides Claude to research GitHub for proven solutions, popular libraries, real-world examples, and community discussions before formulating an answer.

When This Skill Activates

This skill automatically engages when your questions include patterns like:

  • "How do I [implement/build/create/add] X?"
  • "What's the best way to [solve/approach/handle] X?"
  • "How should I structure/organize/design X?"
  • "Which library/tool/framework should I use for X?"
  • "What are people using for X?"
  • "How might we [implement/architect] X?"

Research Process

1. Identify the Core Problem

Extract the key concept or task from your question. What's the actual problem you're solving?

2. Search Multiple Sources on GitHub

Use the WebSearch tool to find relevant information on GitHub:

Code Examples: Search for implementation patterns

  • Example: site:github.com "how to implement [X]" language:[relevant]
  • Look for well-maintained repos with multiple stars

Popular Repos: Find established solutions

  • Search for repos that solve your problem
  • Review their approach, architecture, and design decisions

Issues & Discussions: Learn from community problem-solving

  • Search GitHub issues for discussions about similar challenges
  • See what problems others encountered and how they solved them

Documentation: Find best practices and patterns

  • Check README files and docs in relevant repos
  • Look for architectural decisions and trade-offs explained

3. Synthesize Findings

Analyze what you discovered:

  • What approaches are most common?
  • What patterns do successful projects use?
  • What trade-offs exist between different approaches?
  • What mistakes do people make (from issues/discussions)?

4. Present Evidence-Based Answer

Propose solutions grounded in your research:

  • Cite specific repos or discussions
  • Explain why certain approaches work
  • Mention alternatives and their trade-offs
  • Point to real examples the user can study

Key Principles

  • Always search before proposing: GitHub research informs every recommendation
  • Cite sources: Include repo links or discussion references
  • Show alternatives: Discuss different approaches and their trade-offs
  • Learn from mistakes: Include common pitfalls found in issues/discussions
  • Respect complexity: Acknowledge when multiple valid approaches exist

Example Usage

User asks: "How do I implement real-time updates in a React app?"

Skill activates because: The question matches "How do I implement [X]"

Claude's process:

  1. Searches GitHub for popular React real-time solutions (Firebase, Socket.io, etc.)
  2. Examines top repos and their architectural approaches
  3. Reviews issues discussing real-time update challenges
  4. Reads documentation explaining different patterns
  5. Proposes solution citing specific repos: "Based on popular approaches like [RepoA] and [RepoB], here are two main patterns..."

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

27.81%
按下载量换算1,932

windsurf

23.67%
按下载量换算1,645

trae

19.05%
按下载量换算1,324

OpenCode

14.02%
按下载量换算974

Codex

7.51%
按下载量换算522

Antigravity

3.95%
按下载量换算274

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。来源字段存在多来源差异,先按来源优先级自动处理,无法消解时进入异常复核队列。

来源信息

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