prior-art-research
Skill1 starsChanged 10 days agoMITView on GitHub
Proactively searches GitHub repositories, open-source ecosystems, and reference products to extract proven architectures, native components, and pitfalls before building from scratch.
2 other projects use a version of this.
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- gustavovalverde/skillstheir own version, first seen Nov 1, 2026
- alidevai/chiron_agenttheir own version, first seen Jul 17, 2026
Other versions2 projects use a version of this.
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Wrote their own version · 2
- gustavovalverde/skills★ 8same name
- alidevai/chiron_agent★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository45 other files it gives its agents.
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- improve-codebase-architectureSkill
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/prior-art-research — 开源优秀项目与现成方案对标检索(拒绝闭门造车)
融合 FoundationAgents/MetaGPT 的竞品/先例分析与 gsd-build/get-shit-done 的四维前置调研(Stack / Features / Architecture / Pitfalls):
一、 触发规则(1A + 2A 标准)
- 必触发场景:凡是从零开发新功能/新插件/新工具/新网页、技术选型、跨模块存储/架构改造、对接第三方框架/SDK、或产品横向对比,必须在写代码前先执行本检索!
- 免触发场景:纯修复本地既有代码的明确内部小 Bug,或单文件 ≤20 行的简单配置微调,直接查本地代码即可,无需浪费时间搜外部网页。
二、 四维深潜检索法(Search → Inspect Source → Extract Pattern → Adapt)
1. 多源精准检索(超越表面网页摘要)
- GitHub 仓库与源码检索:
- 使用搜索工具查询
<技术栈/框架> <功能关键词> github、site:github.com "<核心接口或事件名>"。 - 通过 GitHub REST API 或网页抓取直接检视高星开源项目的目录结构、核心源码文件、最新 Release Notes 与高赞 Issues:
https://api.github.com/search/repositories?q=<keywords>&sort=stars&order=deschttps://api.github.com/repos/<owner>/<repo>/contents/<path>
- 使用搜索工具查询
- 当前框架/生态原生能力排查:
- 检索目标框架或宿主环境是否已经内置了现成组件、工具类或已安装的依赖库(遵循 Ponytail 阶梯:有原生组件绝不手搓劣质替代品)。
2. 四维提炼产出(GSD 4-Dimension Synthesis)
将检索结果浓缩为 20 行以内的《开源对标简报》,直接供《开工方案卡》与架构设计使用:
- Stack & Native Components(现成组件/库):有哪些开箱即用的原生组件或成熟库?
- Features & UX Patterns(交互与功能标杆):优秀同类项目有哪些贴心的交互细节?
- Architecture & Data Flow(架构与数据结构借鉴):它们如何组织状态、存储与扩展接口?
- Pitfalls & Edge Cases(前人踩过的坑):Issues 或源码注释里揭示了哪些容易踩中的平台限制或兼容性陷阱?
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