xrk-github-research
Skill140 starsChanged 8 months agoMITView on GitHub
在 GitHub 搜索成熟开源实现、对比方案、读 issue/PR 时使用。架构选型、unfamiliar 领域、找业界最佳实践时主动调用。
In this repository43 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/agents.mdAGENTS.md
- .cursor/rules/vibe-learn-craft.mdcCursor rule
- .cursor/rules/xrk-core-code.mdcCursor rule
- .cursor/rules/xrk-dev-requirements.mdcCursor rule
- .cursor/rules/xrk-infrastructure.mdcCursor rule
- .cursor/rules/xrk-project.mdcCursor rule
- .cursor/rules/xrk-third-party-plugins.mdcCursor rule
- accessibility-complianceSkill
- design-system-patternsSkill
- fronted-designSkill
- immersive-short-videoSkill
- interaction-designSkill
- mobile-android-designSkill
- mobile-ios-designSkill
- react-native-designSkill
- responsive-designSkill
- ui-ux-pro-maxSkill
- visual-design-foundationsSkill
- web-component-designSkill
- xrk-agent-runtimeSkill
- xrk-ai-workflowSkill
- xrk-app-devSkill
- xrk-authSkill
- xrk-coding-styleSkill
- xrk-configSkill
- xrk-crawlSkill
- xrk-dockerSkill
- xrk-docsSkill
- xrk-http-apiSkill
- xrk-infrastructureSkill
- xrk-llmSkill
- xrk-mcpSkill
- xrk-node-runtimeSkill
- xrk-pluginsSkill
- xrk-project-overviewSkill
- xrk-rendererSkill
- xrk-runtime-utilSkill
- xrk-subserverSkill
- xrk-system-coreSkill
- xrk-taskerSkill
- xrk-v3-apiSkill
- xrk-www-compatSkill
The file
Files
权威入口
- GitHub MCP(可选;在本机 Cursor MCP 配置中提供 PAT,见
.cursor/mcp.json.example) - CLI:
gh search repos|code|issues - 兜底:
WebSearch+ README / 官方文档
执行步骤
- 先本仓库 —
Grep/Glob→docs/、core/、.cursor/skills/xrk-* - GitHub — 找项目(stars + 近期 commit)→ 读 README + 核心模块 → 必要时 issue/PR
- 输出 — 结论 · 参考表(项目/为何相关/可借鉴)· 与 XRK 落地方式 · 建议下一步
搜索词示例:{领域} {栈} language:JavaScript stars:>300 pushed:>2024-01-01
gh search repos "关键词" --sort stars --limit 10
gh api repos/owner/repo/contents/path/to/file -H "Accept: application/vnd.github.raw"常见陷阱
- 只搜不读;忽略维护度;有 MCP 仍凭训练数据编 API
- 外部方案违反 XRK 边界(改
src/infrastructure/、配置放错目录) - 替代已有
xrk-*skill,而非补充
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

